Model documentation and user instructions PERSUADE – CBA tool for economic appraisal Vejdirektoratet, Rapport 441, 2013 PERSUADE – CBA tool for economic appraisal Model documentation and user instructions Author: FOTOS: Mads Paabøl Jensen, COWI and Gilles Pigasse, The Danish Road Directorate The Danish Road Directorate ISBN (NET): DATE: 978-87-70607-70-4 June 2013 COPYRIGHT: LAYOUT: The Danish Road Directorate 2 The Danish Road Directorate 2013 Preface This report is the technical documentation for the CBA model used in the initial cost benefit analysis of poroelastic road pavements. The report is produced as a part of the PERSUADE project a research project under EC DG Research’s Seventh Framework Programme. The PERSUADE project aims at developing the experimental concept of a poroelastic road surfacing (PERS) into a feasible noise-abatement measure as an alternative to, for example, noise barriers. It is expected that PERS may provide substantially higher noise reductions than the best of the conventional paving materials. The specific feature of this new type of road surfacing is that it consists mainly of rubber granules from recycled car tyres bound with a synthetic resin, such as polyurethane. PERSUADE is the acronym for PoroElastic Road SUrface: an innovation to Avoid Damages to the Environment. The project programme comprises an extensive investigation in the laboratory to develop a durable mixture, the construction of seven test sections in five partner countries, a monitoring effort for the test sections (noise, rolling resistance, skid resistance, durability, winter behaviour, etc), and a study of all conceivable environmental and socio-economic aspects. The project, which started in 2009 has been scheduled for a duration of six years. Twelve partners from seven European countries are cooperating in this project, including research institutes, universities and companies representing the involved industry sectors. Building and Civil Engineering Institute (ZAG), the Polish Road and Bridge Research Institute (IBDiM), the Swedish Road and Transport Research Institute (VTI) and Danish Road Directorate (DRD) (leader of WP7). All partners have provided data about the possible case location for PERS. The Danish Road Directorate has subcontracted the Danish consulting company COWI for the development of the model used for the CBA. COWI has also provided the present technical documentation. Further information on PERSUADE can be found at the website of the project at http://persuade.fehrl.org/ The report is drafted by Mads Paabøl Jensen (COWI) and Gilles Pigasse (Danish Road Directorate) and has been reviewed by the project group. The authors are grateful for the financial support of the major part of this project from the European Commission though its 7th Framework Programme. The partners of the project have also contributed financially to the project. This report/deliverable is produced within Work Package WP 7 in the project, which deals with ”Cost-Benefit Analysis” and is led by the Danish Road Directorate (DRD). This report is the technical documentation for the CBA model used in PERSUADE. The partners involved in the WP7 are the Belgian Road Research Centre (BRRC), the Slovenian National 3 Forord Denne rapport er den tekniske dokumentation for CBA-modellen anvendt i den første cost-benefit-analyse af poroelastiske vejbelægninger. Rapporten er udarbejdet som en del af PERSUADE projektet, et forskningsprojekt under EU´s syvende rammeprogram. PERSUADE projektet sigter på at udvikle poroelastiske vejbelægninger (PERS) med størst mulig støjreduktion. Det forventes, at PERS belægninger kan give væsentlig højere støjreduktioner end de bedste af de konventionelle vejbelægningmaterialer. Det særlige ved denne nye type vejbelægning er, at den hovedsageligt består af gummigranulat fra genanvendte bildæk med et syntetisk harpiks bindemiddel, såsom polyurethan. for at udvikle en holdbar belægning, etablering af syv forsøgstrækninger i fem partnerlande, et måle og overvågningsprogram for forsøgstrækningerne (støj, rullemodstand, friktion, holdbarhed, vinteradfærd, osv.), og en undersøgelse af mange miljømæssige og socio-økonomiske aspekter. Projektet, som startede i 2009 har en varighed på seks år. Tolv partnere fra syv europæiske lande samarbejder i dette projekt, herunder forskningsinstitutter, universiteter og virksomheder, der repræsenterer de involverede brancher. PERSUADE er en forkortelse for PoroElastic Road SUrface: an innovation to Avoid Damages to the Environment. Projektets program består af omfattende undersøgelser i laboratoriet Denne rapport er produceret inden for arbejdsgruppe 7 (WP 7) i projektet, der omhandler ”Cost-benefit-analyse” og er ledet af Vejdirektoratet. Denne rapport indeholder den tekniske dokumen- 4 Yderligere oplysninger om PERSUADE kan findes på hjemmesiden for projektet på http://persuade.fehrl.org/ tation for CBA-model, der anvendes i PERSUADE. De partnere, der er involveret i WP7 er det belgiske Road Research Centre (BRRC), det slovenske National Building og Civil Engineering Institute (ZAG), den polske vej og bro Research Institute (IBDiM), den svenske Road og Transport Research Institute (VTI) og Vejdirektoratet (VD) (leder af WP7). Alle partnere har leveret data. Det danske konsulentfirma COWI har stået for udviklingen af den anvendte CBA model. COWI har ligeledes udarbejdet denne tekniske dokumentation. Rapporten er udarbejdet af Mads Paabøl Jensen (COWI) og Gilles Pigasse (VD) og er blevet gennemgået af projektgruppen. Forfatterne vil gerne takke EU for den finansielle støtte til dette projekt. Projektets partnerne har også bidraget økonomisk til projektet. Content Preface3 Forord4 Content5 SUMMARY7 Sammenfatning8 1. Introduction 1.1 Background 1.2 Purpose 1.3 Content 9 9 10 10 2. Methodology and approach 2.1 Framework conditions 2.2 Work process 2.3 The general CBA methodology 2.3.1 The CBA framework and technique 2.3.2 Valuation of noise 2.3.3 Other externalities in relation to noise mitigation 2.4 Concept and approach 2.4.1 Five cases – results for selected case 2.4.2 Specific and general assumptions 2.4.3 Included effects 2.4.4 Both cost-benefit and cost-effectiveness results 2.4.5 Sensitivity analyses 2.4.6 Critical parameter analysis 11 11 11 12 12 13 14 14 14 14 14 14 15 15 3. The PERSUADE CBA tool 3.1 Introduction and content 3.2 Key assumptions and parameters 3.2.1 Noise costs 3.2.2 External costs 3.3 Input data 3.3.1 Case input data 3.3.2 Costs of Surfaces 3.3.3 Noise reduction effects 3.4 Output and results 16 16 16 17 18 19 19 20 21 21 5 6 4. User instructions 4.1 General principles 4.2 Operating the model 4.2.1 Conducting sensitivity analyses 4.2.2 Conducting critical parameter analyses 4.2.3 Conducting scenario analyses 4.3 Updating and adding data 4.4 Epilogue 23 23 24 25 25 25 25 26 5. Outlook and recommendations 5.1 Uncertainties and limitations 5.2 Development perspectives 5.3 Concluding remarks 27 27 27 28 6. References 29 SUMMARY The purpose of the project is to investigate the socio-economic efficiency of PERS compared to conventional road surfaces and other noise mitigation measures. This report is the technical documentation for the CBA model used in the initial cost benefit analysis. It should be considered as the secondary report to the deliverable WP7-D7.1. This report presents the methodology and the approach used during the costbenefit analysis (CBA). It also gives detailed information about the tool that has been used. The core of the CBA is an Excel spreadsheet and this report helps understanding how this tool has been built and how users should manipulate it in order to run a CBA. This report concludes on some recommendation and limitations of the model. 7 Sammenfatning Formålet med projektet er at undersøge det socio-økonomiske effekt af poroelastiske vejbelægninger (PERS) i forhold til konventionelle støjreducerende vejbelægninger og andre støjbegrænsende foranstaltninger. Rapporten er den tekniske dokumentation for den model, der blev anvendt i den første cost-benefit-analyse, og udgør den anden del af slutrapporteringen af delprojekt WP7-D7.1. Rapporten præsenterer den metode og fremgangsmåde, der blev anvendt i 8 cost-benefit analysen (CBA). Den giver også detaljerede oplysninger om det ”værktøj”, der er blevet brugt. Kernen i CBA-modellen er et Excel-regneark, og rapporten gennemgår, hvordan dette værktøj er bygget op og hvordan brugerne kan anvende det til at udføre en CBA. I rapporten angives endelig anbefalinger og begrænsninger af modellen. 1. Introduction This report provides the technical documentation and user instructions for the Cost-benefit Analysis tool prepared for analysis and appraisal of Poro Elastic Road Surfaces (PERSUADE). The report has been prepared by DRD and COWI under WP7 of the PERSUADE project. This documentation report supplements the specific and detailed documentation included in the developed Cost-Benefit Analysis (CBA) tool (an Excel model). The PERSUADE Cost Benefit tool can be found on the homepage of the PERSUADE project. Not all information included in the model is reproduced in this report and the model constitutes the most important part of the documentation. It should be noted that this documentation has been prepared by the end of ”an initial phase” of the project. At this stage, the overall structure of the model and all fundamental features and functionalities of the model are in place. It is however anticipated that the model will be further developed in the final stage of the project. An updated version of this documentation will be prepared when a final version of the model has been developed. For more information on the results of the initial phase cost-benefit analysis carried out with the tool readers are referred to the PERSUADE project deliverable “WP7 - Costs-benefit of PERS” Danish Road Directorate, 2011. 1.1 Background The PERSUADE project is a research project under EC DG Research’s Seventh Framework Programme Theme ENV.2008.3.1.5.1 - Innovative environmental technologies including design concepts and materials for the reduction of damage to the environment. PERSUADE is the acronym for PoroElastic Road SUrface: an innovation to Avoid Damages to the Environment. The PERSUADE project aims at developing the experimental concept of a poroelastic road surfacing (PERS) into a feasible noise-abatement measure as an alternative to, for example, noise barriers. It is expected that PERS may provide substantially higher noise reductions than the best of the conventional paving materials. The specific feature of this new type of road surfacing is that it consists mainly of rubber granules from recycled car tyres bound with a synthetic resin, such as polyurethane. The project programme comprises an extensive investigation in the laboratory to develop a durable mixture, the construction of seven test sections in five partner countries, a monitoring effort for the test sections (noise, rolling resistance, skid resistance, durability, winter behaviour, etc), and a study of all conceivable environmental and economic aspects. The project has been scheduled for a duration of six years. Twelve partners from seven European countries are cooperating in this project, including research institutes, universities and companies representing the involved industry sectors. See further the PERSUADE homepage at http://persuade.fehrl.org/ This report/deliverable is produced within Work Package WP 7 in the project, which deals with ”Cost-Benefit 9 Analysis” and is led by Danish Road Directorate (DRD). To facilitate the analyses a cost-benefit tool has been developed. The overall objective of WP 7 is to appraise the economic efficiency of PERS in comparison with conventional surfaces and in comparison to other noise mitigation measures. A cost-benefit analysis should be performed as an initial analysis and a final analysis. 1.2 Purpose The initial analysis should provide a complete theoretical evaluation of the potential and limitations of the technology and outline the most critical parameters from the best possible estimate of all influential parameters. The final analysis should provide a full evaluation of economic efficiency of PERS based on the mix optimization and experiences from the test sections and provide a guideline for possible efforts for improving the cost efficiency of PERS. 10 The purpose of this report is to provide a technical documentation of the Cost-benefit analysis tool which has been prepared as part of WP7. The methodological framework should be explained with specific focus on CBA in relation to PERS. Finally, the report should serve to provide instruction on how to use the model and how to interpret results. 1.3 Content The report is structured as follows: Chapter 2 gives a short description of the work process and approach used for developing the CBA tool. This includes a short general introduction to the CBA methodology. Chapter 3 presents and describes the content of the model. Key assumptions used are presented and input data and outputs are briefly characterised. Chapter 4 provides specific user instructions on how to operate the models and how to update them with new and additional data. Finally, chapter 5 describes uncertainties and limitations of the model and briefly outlines the next steps in the development process. Further, it provides recommendations for areas that could be subject for further analyses in the future. 2. Methodology and approach This section first describes the overall framework conditions of the model development and the work process. This is followed by a short general introduction to the CBA methodology and finally the overall approach used in the model is presented. 2.1 Framework conditions The overall objective of WP7 is clear. The economic efficiency of PERS should be appraised by carrying out cost-benefit analysis. However, cost benefit analysis should be performed both at an initial stage and a final stage. At the initial stage the analysis should provide a complete theoretical evaluation of the potential and limitations of the technology and outline the most critical parameters from the best possible estimate of all influential parameters. Thus it must be analysed how much cost of PERS should be reduced, lifetime increased or environmental impacts reduced to obtain a positive current net value of PERS as a noise mitigation measure. The idea is that this information - at an early stage of the project - could help focus the tasks in other work packages and target the work. To facilitate the analyses a cost-benefit tool is developed. The CBA tool is used both in the initial and final stage. However, the model does not need to be fully developed at the initial stage. Values can be preliminary or missing but the model needs to be in a condi- tion to support analyses of the most critical parameters. 2.2 Work process The development of the PERSUADE CBA tool has been carried out by Danish Road Directorate/COWI in close cooperation with the PERSUADE partners. The partners also involved in WP7 are BRRC in Belgium, ZAG in Slovenia, IBDiM in Poland, VTI in Sweden. The Partners have contributed with data and information and valuable comments and suggestions. The model includes five cases calculation reflecting different roads, traffic intensities and locations. The Partners have provided the data about the cases. The development of the PERSUADE CBA model has been developed in a number of steps: ▪▪ ▪▪ ▪▪ ▪▪ Approach, methodology and delimitation of model Specification of cases and data collection Data analysis and model building Testing and revision of the model First, the overall approach, methodology and delimitation of model was discussed and decided before commencement of data collection. Then cases were specified and data collected via the PERSUADE partners. The model was developed around the cases and general data about costs of surfaces, the noise costs, other external cost etc. This documentation has been prepared by the end of the first phase of the project. At this stage the model is not finalised as there are values missing in the model and thus impacts that are not yet quantified and included in the analysis. Further, there is still limited knowledge about the performance of the PERS including the cost of the surface, durability and lifetime and the need for maintenance. As a consequence there are considerable uncertainties associated to the data currently in the model. However, the overall structure of the model is final and all fundamental features and functionalities of the model are in place. The model has been developed specifically for the PERSUADE project and the objective of WP7. However, it should be noted that the development of the model has drawn upon the output of the SILVIA project. SILVIA (Sustainable Road Surfaces for Traffic Noise Control) is an EC research project under the Fifth Framework Programme that was finalised in 2005 (http://www.trl.co.uk/silvia/). The overall objective of the study was to provide decision-makers with a tool allowing them to rationally plan traffic noise control measures, including lownoise road surfaces. Guidance and advice was developed including a tool for cost-benefit analysis. The SILVIA CBA tool has served as inspiration for the development of the 11 PERSUADE CBA tool. The fundamental principles in the two models are similar but since the PERSUADE model has been tailor-made to serve to purpose of this specific project there are differences in the input data used in the calculation and in the types of results presented. To some extent this documentation report also draws on the documentation of the cost-benefit analysis of the Silvia project. 2.3 The general CBA methodology The developed PERSUADE calculation tool relies on standard cost-benefit analysis methodology. The costs benefit analysis is an economic technique for the appraisal of projects and policies. The use of CBA is an integrated part of the decision-making process in the European Union aiming to better inform decision-makers in their decision on new policies, projects and regulations. In this section the concept of CBA is briefly described relating it to the developed PERSUADE calculation tool. The description aims to shed light on the overall principles of economic analysis and to illustrate the usefulness in relation to project appraisal. However, it is merely an overall description and it does not attempt to provide a complete introduction and overview of CBA. For more information on the CBA methodology readers are referred to ”Guide to Cost Benefit Analysis of Investment Projects”, published by the European Union in July 2008. This guideline has been used as the methodological framework for the cost-benefit analysis carried out in this project and also implemented in the PERSUADE calculation tool. 2.3.1 The CBA framework and technique A costs benefit analysis is used to determine whether a plan is expected to turn out positively or negatively. The CBA can be applied on many problems but in relation to public decision making is applied to projects and policies. CBA is based on the principle of social efficiency. Thus, it is concerned with maximisation of the welfare of the society as a whole. The CBA framework provides a useful tool as it facilitates overall appraisal and comparison of alternative project options. It provides valuable information for proper decision and policy making as it weighs together all costs and (social) benefits of a project consistently. The cost-benefit analysis relies on the addition of all factors positive or negative - to determine a net result. Before evaluating projects or a policy it is important to establish a reference scenario to which a policy or project is compared. The reference scenario should reflect the likely situation without the project or policy being implemented, thus often reflecting a business as usual situation. Now to carry out a CBA for a project or a policy the steps to undertake are: ▪▪ ▪▪ ▪▪ ▪▪ ▪▪ ▪▪ Identification of impacts. Physical quantification. Valuation of impacts. Calculation of net present value (discounting) and internal rate of return. Assess results including assessment of non-monetised effects. Ideally a sensitivity analysis. The impacts should include all internal project benefits and costs (investment cost, operating and maintenance cost and revenues) as well as all externalities1 (external cost and benefits) such as air and water emissions, noise, accidents etc. All effects should be expressed in monetised terms. Valuation of environmental goods and other effects that do not have an observable price in the market is in any case essential for the execution of a CBA. To weigh together all the effects it is important to take account of the time aspect. This means that all costs and benefits should be discounted adjusting for the time value of money. In this way the flows of costs and benefits over time are expressed on a common basis in terms of their present value. The total result is now calculated as the sum of all cost and benefits expressed in present value to give the net present value. Instead of calculating net present value all effects could be calculated as yearly values expressed in a common year. This involves annualising the investments. This approach is used in the PERSUADE model as it is most suitable to the specific challenge. In a perfect world with perfect information, prioritising becomes a trivial task of comparing the net result of the different options. In this respect, the CBA is merely a tool, which judges projects according to a simple comparison between the complete range of costs and benefits. Welfare economists use CBA with the aim of maximising individual and social welfare through 1 Externalities are defined as: “The costs and benefits which arise when the social or economic activities of one group of people have an impact on another, and when the first group fail to fully account for their impact.” (ExternE 1995). 12 optimal resource allocation. Therefore the CBA is very well suited to support decisions in relation to policy or project assessment. In relation to the PERSUADE project CBA is used to appraise the performance of the PERSUADE surface in comparison to a reference project. However, it is also used to identify parameters critical for the economic performance of PERSUADE. Some limitations of the CBA It is important to notice that there are limitations to the cost-benefit analysis. First of all it is difficult or not possible to establish the economic value of some effects. For many types of environmental ”goods” (e.g. clean air) there are simply no markets and no observable price, so economists have to resort to other methods to value the ”goods”. This valuation is often complicated and associated with great uncertainty. Hence, in practice, it is almost always problematic to obtain the full range of monetised impacts. In many cases, all impacts are not fully quantified or it is not possible to monetise the impact. In these cases care should be taken to interpret the quantitative results of a CBA and the results should be weighed against the data material. In any case, all impacts should be mentioned in an analysis irrespective of quantification or not. This means that it is still better to give a description of the impacts than having no valuation and not mentioning the impact at all. Economists are committed to the principle that economic efficiency should be a fundamental criterion for public investment and policy-making. This implies that the benefits from the use of the scarce resources are maximised net of the costs of using them. This principle is fundamental to the use of CBA as a decision tool. However, economists also acknowledge that economic efficiency should not be the sole criterion in decision-making. Distributional and competitive considerations can be rational justifications for deviation from the principles of economic efficiency as an absolute criterion for maximising the welfare of society. Also, there is often a lack of knowledge and information about the environmental effects as well as general uncertainty about prices and valuation estimates. All of this can make the result of CBA tentative and incomplete. In the EU Guide to Cost Benefit Analysis the limitations is summed up quite well in the following statement (p. 15): CBA is applied social science and not an exact discipline. It is largely based on approximations, working hypotheses and shortcuts, because of lack of data or because of lack of resources of evaluators. It needs intuition and not just data crunching. Cost effectiveness analysis The cost-benefit analysis plays an important role for assessment of policies and projects. However, as explained above it has sometimes shortcomings in relation to assessing and monetising specific effects. When this is the case cost-effectiveness can be a useful alternative or supplement to the CBA. A cost-effectiveness analysis (CEA) is essentially a slightly simplified CBA. The only difference is that one effect, for which valuation is difficult or associated with great uncertainty, is not included in the calculation of the net result. Instead the net result is divided by the effect (for example number of person-dB reduced) for each policy option. This provides a picture of the net costs of proving a specific effect (for example noise reduction). Thus, CEA is an economic analysis that compares the net results and outcomes (effects) of two or more options. In the PERSUADE model both a CBA and CEA result is calculated. The reason for this is the considerable uncertainty associated with the unit cost of noise. The CEA result is expressed as EUR per person-dB (reduced). This result allows for direct comparison of the performance with other measures to reduce noise such as noise barriers or low-noise tyres. 2.3.2 V aluation of noise Noise generates annoyance effects and adverse health effects on human beings and therefore represents a social cost to society. Valuation of noise often reflects these two aspects of the costs of noise, annoyance and health, and the benefits of noise reduction come from the reduced annoyance and the reduced health effects. The methods for assessing annoyance primarily take a starting point in either the hedonic pricing method or stated preference methods. Annoyance is typically valuated by using direct (Willingness-to-pay, etc) or indirect valuation techniques (hedonic pricing methods). Health costs paid by society, such as hospital costs, production loss and welfare loss, could however not be expected to be fully incorporated in the estimated annoyance costs, although there might be some overlapping. Therefore these costs should be estimated separately. In the PERSUADE model a unit costs of noise can be specified for each of the five countries represented in the case studies. Thereby it is possible to 13 take account of differences between countries and reflecting varying levels of income and differences in population preferences with respect to noise abatement. 2.3.3 Other externalities in relation to noise mitigation The PERS surface reduces noise in comparison to a conventional surface, thus reducing the external cost of noise. This is of course the main benefit related to PERS but it potentially also affects a number of other externalities such as accidents and air pollution. As already stated conversion of all impacts to monetary values is a key element of cost-benefit analysis. Therefore the PERS model includes modules to calculate and include these effects. There is however not a standard approach on how to include the external effects and how to put a monetary value on them. This was discussed thoroughly in the SILVIA project and the issues have also been addressed in several other projects carried out for the EU Commission, e.g. the projects EXTERNE, PROMISING, UNITE and EUNET. In this project, the main source for the unit values for external costs used are based on the HEATCO study which is an EU study aiming at developing a harmonised European approaches for project assessment in the transport sector. For more information on the conversion of costs and benefits to monetary terms and input to cost-benefit analyses of measures to control road traffic noise the reader is referred to the appendix of the SILVIA deliverable Cost-benefit analysis. 2.4 Concept and approach The PERSUADE model has been developed based on the basic CBA 14 principles described above. However, instead of calculating the present value of all effects in the life time of the PERS and reference surface, the annual value of all effects are calculated (for the same year) and summed. This means that all results are expressed as annualised cost or cost per year. The model calculates the cost and benefits based on a range of input data about the surfaces - their noise performance, investments, operation and maintenance costs etc. - and a number of assumptions. The model calculates the economic result of applying a low noise road surface (PERS) as an alternative to a conventional road surface (the Reference). 2.4.1 F ive cases – results for selected case Detailed information about case characteristics is one of the fundamental inputs in the calculations. This includes information on the road type, the length and width of the road and the traffic volumes in terms of the average daily traffic on the road. The model has been developed with five cases. The user chooses one case and the results for this case is presented in the model. 2.4.2 Specific and general assumptions One of the basic principles in the overall approach has been to differentiate between case specific assumptions and general assumption. The general assumptions include the discount rate, emission factors, the value of recycling of tyres, and accident costs. For some parameters EU values have been included and can be used as fall back values if no country (case) specific values can be found. 2.4.3 Included effects As explained above ideally all effects should be included in the economic analysis. In practise, in this model all direct key effects have been included (cost and noise effects). Indirect effects such as emissions, benefits from recycling of tyres and changes in accidents have been included in the model and can thus be included in the calculation to the extent that it is possible to quantify the effects. Monetary unit values have thus been included in the model. However, as poroelastic surfacing has not yet been introduced on the market, at this stage in the project there is only limited practical knowledge available. Consequently, there are a number of unknown and uncertain parameters in the cost-benefit analysis. Focus has been put on the direct effect while the indirect effects have not been estimated and thus not included in the analysis at this stage. This is further explained in the result documentation “WP7 - Costs-benefit analysis” by Danish Road Directorate, 2011. It is however important to stress that the model has been developed to support conversion of relevant impacts to monetary values by including the effects in the cost-benefit calculation procedure that has been developed. Further, default unit values for the indirect effects have been included in the model. 2.4.4 B oth cost-benefit and costeffectiveness results The cost of noise is associated with great uncertainty. As a consequence the model has been developed calculating both the total costs excluding the benefit from noise reduction and the total net result including the noise costs. This essentially means that the model has been developed both as a cost-benefit and cost-effective model. The net result relates to the costbenefit analysis and expresses the net result to society as a whole including the monetary benefit of noise reduction of applying the PERS surface as an alternative to the Reference surface. Net result = ΔPers-Reference (Total cost + Noise cost) From the total costs the cost-effectiveness is calculated by dividing the changes in total costs by the changes in noise effect (expressed in person-dB). Cost-effectiveness = ΔPers-Reference Total cost / ΔPers-Reference Noise effect The cost-effectiveness result expresses the cost of reducing one person-dB by applying the PERS surface (EUR per person-dB). The cost-benefit result gives information about the economic result of the PERS surface taking account of the economic benefit of the noise reduction. In other words, it is a full comparison between the complete range of costs and benefits. It expresses whether the benefits of the PERS outweigh the costs. Thus, this result is useful in relation to evaluations of economic performance of the PERS surface. The cost-effectiveness result is expressed as EUR per person-dB (reduced). This result allows for direct comparison of the performance with other measures to reduce noise such as noise barriers, façade insulation, traffic regulation, etc. The result is wellsuited for identifying the most cost effective measures to reduce noise as it allows for direct comparison with other noise mitigation measures. The costs- effectiveness result can be used in relation to analysis of which measures that can be used to achieve a certain objective/target at the lowest costs. The advantage of the cost-effectiveness approach is that the (uncertain) benefits from noise reductions do not need to be monetised. It should be noted that all results are expressed per year. All results are also calculated and presented per km road to allow for comparison of case roads of different length. 2.4.5 Sensitivity analyses The sensitivity of the results can be analysed in the model as a module has been developed which allows for traditional sensitivity analyses of the impact on the results of variations in key parameters. It is possible to run a set of pre-defined sensitivity analysis that provides an overview of the implications of changes in the key input parameters. It is also possible to perform more advanced scenario calculations in which assumptions/estimates for the three main parameters are varied. This generates result tables and charts showing the result of variations in three main assumptions. 2.4.6 Critical parameter analysis One of the main purposes of the initial stage of the project is to outline the most critical parameters from the best possible estimate of all influential parameters. To facilitate this analysis a critical parameter analysis module has been developed and included in the model. In the module it is analysed how much certain parameters should change to obtain a net result of 0 for a PERS pavement in comparison with the reference surface. For example it can be analysed how much the cost of PERS layer should be reduced or lifetime increased to provide economic breakeven when a negative net result is the outcome. The critical parameter analysis (CPA) is performed for one parameter at a time keeping the estimates and assumptions for all other parameters fixed. As an example, if the analysis gives a negative net result with the best estimate for all parameters for example the CPA analysis can calculate how much the life time of the upper layer should be increased to provide economic break even. This could for example be that the life time should be increased from 3 years to 5 years. The CPA module identifies the important and critical parameters and provides help to focus the tasks in other work packages by providing an overview of how the different technical and economic parameters affect the overall results. There are probably trade-offs between the different properties of PERS that need to be considered in the development process. The CPA module of the model can be used in relation to this. 15 3. The PERSUADE CBA tool Frontpage Introduction Key parameters and input data Key parameters Costs of Surfaces Case input data Noise reduction effects Sensitivity analysis Sensitivity Background calculations Cons cost & opex External costs ! Results and critical parameter analysis Results Results sensitivity Critical parameter analysis Scenario calc Figure 3.1Overview sheet. This section provides a brief description of the model, key assumptions, input data and uncertainties. Finally, a brief description of the outputs is provided. 3.1 Introduction and content The PERSUADE CBA tool has been developed in an Excel spreadsheet. Data for all five cases have been included in the model and the user can choose which of the cases to analyse. It has been a high priority to ensure that the model is user friendly as it 16 is expected that it will be part of the deliverables of the PERSUADE Project and be made publicly available for others to use and/or further develop. This means that the model has been developed with separate sheets for input data, background information and calculations, and results. The figure below illustrates the structure and content of the model. The reader is referred to section 4 for general instructions on how to use and update the model. 3.2 Key assumptions and parameters The PERSUADE CBA model has been developed around a number of overall key assumptions: ▪▪ ▪▪ ▪▪ ▪▪ Discount rate: 3.5% (adjustable) Present Value calculated for 2010 (adjustable) Price level: 2010 (adjustable) Time horizon: equal to the lifetime of the investments (varies) as all costs (and benefits) are annualised before added The overall key assumptions are easily changeable by the user. Beside the above overall key assumptions the model includes some further key parameters. These are: ▪▪ ▪▪ ▪▪ ▪▪ Noise costs (unit price) External costs - unit prices and emissions factors Inflation indices Currency conversion The model has been developed with default values for these key parameters. Below, the applied assumptions are described. 3.2.1 Noise costs Noise represents a social cost to society, because noise generates annoyance effects and health effects on human beings. Valuation of noise often reflects these two aspects of the costs of noise, annoyance and health, and the benefits of noise reduction come from the reduced annoyance and the reduced health effects. The methods for assessing annoyance primarily take a starting point in either the hedonic pricing method or stated preference methods. Annoyance is typically valuated by using direct (WTP, etc) or indirect valuation techniques (hedonic pricing methods). Cost-benefit analyses as opposed to cost-effectiveness analyses include the benefits of the noise reduction in monetary terms. Therefore, to calcu- late the economic benefit of a noise reduction from PERS a unit price for noise reduction is needed. person-dB per year, which is considerably higher than the unit value suggested by EU working group. EU value The model has been developed with an overall default value for noise reduction for EU as a whole. But it is also possible for the user to specify country specific values for the 5 cases. The EU value is expressed as EURO per household-dB per year and is based on recommendations from an EU working group on health and socioeconomic aspects2. Linear relationship The unit price above assumes a linear relationship between noise levels and costs. There is however indications that there is an exponential relationship between noise, annoyance and costs. The EU value assumes a linear relationship between noise levels and costs but in fact the official Danish unit price assumes an exponential relationship. The value is 25 EUR per householddB per year (in 2003 prices). Taking account of the average number of persons per household this corresponds to 13 EUR per person-dB per year (in 2011 prices). This means that the yearly benefit of reducing noise by 1 dB for 1 person is 13 EURO. Exponential relationship In the model it is possible to use an exponential relationship between noise and costs as an alternative to the default assumption of a linear relationship. If the user chooses to use an exponential relationship he/she needs to specify a weight for each 1 dB reduction in the interval from 55 dB to 75 dB. Danish value Country specific values should be applied instead of the EU value if these exits. In the model the Danish value has been included. The value has been transformed from the official Danish value expressed as DKK per NEF3 to EUR per person-dB per year, which is the unit in which the country specific values needs to be specified. This values is the latest value available from the ministry of transport. After the transformation, the Danish value corresponds to 32 EURO per This has been done for the Danish case using the official Danish exponential relationship. The table below shows the exponential relationship between noise and annoyance for Denmark. The Noise Exposure Factor (NEF) is calculated from the formula below: NEF = 0.01 * 4.22(0.1(LAeq-41)) The weight of each noise level (1 dB intervals) is calculated from a normali- 2 Working group on health and socio-economic aspects, 2003: Valuation of noise position paper, 4-december-2003. 3 NEF is short for Noise Exposure Factor (in Danish SBT: støjbelastningstallet) and is a unit which is used in Danish social cost calculations in relation to noise. NEF expresses the total nuisances in a defined geographical area and is calculated by weighing of households exposed to different noise levels. 17 sation where the weight of 1 equals the average NEF in the interval 60-65 dB which equals 0.236 NEF. Table 3.1 The official Danish relationship between noise levels and annoyance. LAeq (dB) NEF Weight 53 0.06 0.24 55 0.08 0.32 56 0.09 0.37 57 0.10 0.42 58 0.12 0.49 59 0.13 0.57 60 0.15 0.65 61 0.18 0.75 62 0.21 0.87 63 0.24 1.01 64 0.27 1.16 65 0.32 1.34 66 0.37 1.55 67 0.42 1.79 68 0.49 2.07 69 0.56 2.39 70 0.65 2.76 71 0.75 3.18 72 0.87 3.68 73 1.00 4.25 74 1.16 4.90 75 1.34 5.66 77 1.78 7.55 Source: Own calculations based on Danish Road Institute, 2005: Cost- 18 benefit analysis on noise-reducing pavements, Report 146 The table shows that noise levels below 63 dB has a weight lower than 1, while noise levels above 63 dB has a weight higher than 1. A weight of 2 in the interval from 68-69 dB means that the economic benefit of reducing noise in this interval is 2 times the average value of 32 EURO per person-dB. As it can be seen from the table in Denmark reductions of noise in the high noise levels are given a much higher weight than noise in the low noise intervals. 3.2.2 External costs The model has been prepared to take account of any possible differences between the PERS and reference surfaces with respect to accidents and emissions. Accident costs For accident costs it has been assumed that it is possible to estimate changes in the number of expected accidents per kilometre. The changes in accidents per kilometres can be calculated by estimating changes in accident frequencies in percentage between the PERS and reference surfaces. The change in frequencies is coupled with the average daily traffic (ADT) and the length of the road to give the change in accidents per km. To calculate the total change in accident cost the model includes accident unit cost per km. The unit costs are differentiated for cars, heavy vehicles and buses and have been based on Danish unit values. The values are presented in the table below. Table 3.2Accident unit costs per km. 2011 prices EUR/km Cars 0.03 Heavy vehicles 0.17 Buses 0.06 Source: Transportministeriet, 2010: Opdatering af værdier for transportens eksterne omkostninger, COWI for Transportministeriet, 2010. As explained in the Result report (WP7-D7.1) at this point in time changes in accident frequencies and thereby changes in accident costs have not been estimated nor included. Emission costs Emission costs are calculated from changes in kg emissions. The changes in emissions are calculated by estimating changes in energy consumption in percentage between the PERS and reference surfaces. The changes in energy consumption are coupled with the average daily traffic (ADT), the length of the road and emissions factors to give the change in emissions per year. To calculate the total change in emission cost the model includes emission factors for cars, heavy vehicles and buses and emission unit cost per kg. The values are presented in the tables below. As for accident costs at this point in time changes in fuel consumption and thereby changes in emission costs have not been estimated nor included. Table 3.3Emission factors. g/km NOX CO2 VOC SO2 PM Cars 0.2969 159.6825 0.0571 0.0057 0.0166 Heavy vehicles 7.9186 803.0303 0.2832 0.0477 0.1488 Buses 10.4364 883.3333 0.6601 0.0364 0.2905 Source: Transportministeriet, 2010: Opdatering af værdier for transportens eksterne omkostninger, COWI for Transportministeriet, 2010. VOC= Volatile Organic Compounds. PM=Particulate Matter Note: For cars, average values for diesel and petrol applied. For CO2 energy consumption of cars, diesel: 18 km/l, cars, petrol: 14 km/l, HGV, 3.3 km/l and buses 3 km/l applied Table 3.4Emission unit costs (2002 prices) in Euro. EUR per kg NOX CO2 VOC SO2 PM Denmark 1.8 0.029 0.8 1.9 520 Belgium 2.7 0.029 1.1 5.4 440 Poland 3.0 0.029 0.8 3.5 130 Slovenia 4.4 0.029 0.7 4.0 220 Sweden 1.3 0.029 0.3 1.0 440 Source: HEATCO - http://heatco.ier.uni-stuttgart.de/ - D5. Annex D table 6.2. Urban value 3.3 Input data The key input data in the model is information about the costs and noise reduction effect of the surfaces and data about the case characteristics. 3.3.1 Case input data For each case data describing the road where PERS is applied is needed: ▪▪ ▪▪ ▪▪ ▪▪ ▪▪ ▪▪ Type of road Number of lanes Length and width of road Speed Average daily traffic Etc. applied to different locations and roads with different traffic intensities. It is also used for calculating changes in accident costs and emission cost as explained above. This information is the basis of calculating the economic efficiency of PERS 19 Case characteristics Name No. City Description of case Implementation period Denmark 1 Copenhagen H.C. Ørstedvej, Frederiksberg Road type Number of lanes (total both directions) Length of road (km) Width of road (meters) Cycle path - Lenght (km) Cycle path - Width (meters) Foot path - Lenght (km) Foot path - Width (meters) City Street Motorway 2 for 0.5 km and 4 for 0.5 km 4 1,1 0,4 17,7 15 0,5 0 0,8 0 1 0 1 0 Speed (km/h) Average daily traffic (ADT) Share of cars Share of heavy vehicles Share of Buses Existing pavements Belgium Slovenia 4 Ljubljana 3 Warsaw B 401 Sweden Selected: 5 Gothenburg Sweden 5 Marszalkowska Celovska cesta Övre Husargatan Övre Husargatan http://maps.google.pl/maps?f=d&source=s_d&saddr=Aleje+Jerozolimskie&daddr=52.223181,21.015809&hl=pl&geocode=Fa http://maps.google.com/maps?f=q&source=s_q&hl=en&geocode=&q=N+46%C2%B004%E2%80%9959 http://www.tvane.se/kml/WP7_Sweden.kml http://www.tvane.se/kml/WP7_Sweden.kml 0 City Street City Street City Street City Street 4,5 4 (2 in each direction) 0.32 km4 (2 in each direction) 0.32 km 0,8 2,9 0,32 0,32 18 17,9 19 19 0,8 2,9 0,32 0,32 1 2 2 2 0,8 2,9 0,32 0,32 9 2 2 2 50 100 50 70 50 50 8500 93% 4% 3% 54302 98% 2% 0% 24899 93% 0% 7% 56316 95,50% 4,50% 0% 22600 97% 1,50% 1,50% 22600 97% 2% 2% DAC 0/11 Distance to the buildings (meters) Poland 2 Gent AC-C2 DAC 0/16 35 Number of dwellings along the road (both sides) Dwelling density per km 35 AC16 SMA 16 map 30 m between facades in northen part 40 m in the sothern part SMA 16 354 Number of levels per building Shops (share of buildings with) 5-6 (85%) Persons per household (average) 90% 2,1 % 2 levels ; 17,6 % 3 levels ; 64,4 % 4 levels; 8,6 % 5 levels 7-8; 7,2 % 7 levels (based on noise maps) 0% 90% 2,2 Sources: 0 0 2,4 3,1 3,1 90% 2,9 2,9 CBA-inputdata-version07072010.xls CBA-inputdata-version07072010.xls CBA-inputdata-version07072010.xls CBA-inputdata-version07072010.xls VD, ECC Figure 3.2Table with Case characteristics. 3.3.2 Costs of Surfaces The total construction and operating costs is calculated based on unit prices of the surfaces, lifetimes etc. Construction costs Construction costs - Reference surface Foundation Lower asphalt layer Upper asphalt layer Sources: Denmark Unit price EUR/m2 Lifetime year VD, ECC VD, ECC 0 10,752688 9,4086022 25 12 12 Foundation Lower layer Upper layer Source: 0 10,752688 16,2 Lifetime year 0 10,75268817 6 Lifetime year 2011 prices Poland Slovenia Sweden Selected Unit price Lifetime Unit price Lifetime Unit price Lifetime EUR/m2 year EUR/m2 year EUR/m2 year 25 7 15 25 20 0 25 12 10 10 13,2 10 10,752688 12 7,5 6 5 15,6 7 6 7,5 25 12 3 Belgium Unit price EUR/m2 0 10,75268817 16,2 CBA-inputdata-version07072010.xls As for Denmark Lifetime year 2011 prices Poland Slovenia Sweden Selected Unit price Lifetime Unit price Lifetime Unit price Lifetime EUR/m2 year EUR/m2 year EUR/m2 year 25 0 25 0 25 0 25 12 10,752688 12 10,752688 12 10,752688 12 3 16,2 3 16,2 3 16,2 3 As for Denmark As for Denmark Operating costs Operating costs - Reference surface Per year Cleaning Ice prevention Denmark Belgium Unit price Unit price EUR/m EUR/m 0,2688172 0,67 Sources: VD, ECC, Gilles 20. sep. 0 0 Cleaning Ice prevention Sources: Denmark Unit price EUR/m 0 1,34 Belgium Unit price EUR/m VD, ECC, Gilles 20. sep. Figure 3.3Table with cost of surfaces. The unit costs can be specified for each case separately. 20 Poland Unit price EUR/m 2011 prices Slovenia Sweden Selected Unit price Unit price EUR/m EUR/m 0,15 0,07852 0 0 0,0358698 0 Sweden Unit price EUR/m2 0 0 CBA-inputdata-version07072010.xls CBA-inputdata-version07072010.xls Operating costs - Persuade surface Per year Sweden Unit price EUR/m2 Lifetime year Sweden Unit price EUR/m2 Lifetime year 0 10,752688 6 25 12 7,5 CBA-inputdata-version07072010.xls CBA-inputdata-version07072010.xls Construction costs - Persuade surface Denmark Unit price EUR/m2 Belgium Unit price EUR/m2 0 0 Poland Unit price EUR/m 2011 prices Slovenia Sweden Selected Unit price Unit price EUR/m EUR/m 0,15 0,07852 0 0 0,0717395 0 Sweden Unit price EUR/m2 0 0 As for Denmark 0 10,752688 16,2 25 12 3 Construction costs Construction costs should be specified for both the PERS and the reference surface. The construction costs consist of three cost components: ▪▪ ▪▪ ▪▪ Foundation Lower asphalt layer Upper asphalt layer For each component a unit price (EUR per m2) and the expected average lifetime should be specified (year). On this basis coupled with the case input data (length and width of road) the total construction costs are calculated. Further, the yearly costs are calculated by annualising the construction costs using the discount rate and the expected lifetimes. At this stage of the project there has only been estimated a change in the cost between PERS and reference for the upper layer. Operating costs Operating costs consist of cost for cleaning and cost for ice prevention. For both cost components a unit price (EUR per m2) should be specified. On this basis coupled with the case input data (length and width of road) the total operating costs per year is calculated. Maintenance costs Maintenance costs are modelled separately from investment (construction cost) in the model. They simply consist of the costs of removing the old surfaces. Separate unit costs should be specified for lower layer and upper layer. On this basis coupled with the case input data (length and width of road) the total maintenance costs are calculated. Further, the yearly costs are calculated by annualising the maintenance costs using the discount rate and the expected lifetimes. be specified - for example 8 dB. Based on the average reduction the model calculates the noise mapping for PERS based on the noise mapping in the reference situation. The noise reduction effect can be specified for each case separately. 3.4 Output and results The reader is referred to the PERSUADE project deliverable “WP7 Costs-benefit analysis” Danish Road Directorate, 2011 for more information on the cost estimates and lifetimes applied for the cases. The model provides a number of results in terms of noise effect and economic efficiency of PERS and in terms of information about the most critical parameters (affecting the economic performance). 3.3.3 Noise reduction effects For each case the noise reduction effect needs to be specified. The key results are: The number of persons in each 1 dB interval from 55-75 dB should be specified for the reference situation where a conventional surface is applied. There are two ways to specify the expected effect of PERS. 1. Ideally, the effect is specified as the number of persons in each 1 dB interval from 55-75 dB for the situation where PERS is applied. This can be done if the effect of applying PERS is calculated in a noise model which can provide a full mapping of noise exposure. 2. If a full mapping is not available an average expected reduction could Results ▪▪ ▪▪ ▪▪ Noise reduction - persons-dB per year Cost-effectiveness - EUR per person-dB per year Net result - EUR per year All results are expressed as total cost for the case per year. All results are also calculated and presented per km road to allow for comparison of case roads of different length. The noise effect in itself is a key result as it provides information about the benefit in terms of noise reduction on the specific road. The result is especially useful for comparison between cases. Results Case country: Denmark Sensitivity: Basic assumptions Results Total result for the case road All cost and benefits expressed per year Noise reduction Noise Cost effectiveness person-dB EUR per person-dB Noise costs EUR Denmark Reference All cost and benefits expressed per year Denmark Reference Noise reduction Noise Cost effectiveness person-dB per km road 20.038 EUR per person-dB per km road 242.077 Noise costs EUR per km road -90.459 -441 -23.711 -114.611 External cost and benefits excluding noise Air emissions costs EUR per km road Climate change costs (CO2) EUR per km road Accidents costs EUR per km road Recycling of tyres EUR per km road Total EUR per km road -114.611 Total costs ex. noise EUR per km road 127.466 Net result EUR per km road 3.828 -18.214 6,3 -292.955 -50.877 -39.248 -1.033 -20.932 -61.213 -129.707 -1.474 -44.643 -175.824 External cost and benefits excluding noise Air emissions costs EUR Climate change costs (CO2) EUR Accidents costs EUR Recycling of tyres EUR Total EUR -70.787 -24.491 -120.643 0 -215.921 -70.787 -24.491 -120.643 0 -215.921 0 0 0 0 0 Total costs ex. noise EUR -277.133 -391.745 Net result EUR Annualised construction, operating and maintenance costs Construction costs EUR Operating costs EUR Maintenance cost EUR Total EUR 22.042 Result per km road Change (PERS-Ref) PERS Change (PERS-Ref) PERS 3.480 -16.558 5,7 -266.322 -46.252 220.070 Annualised construction, operating and maintenance costs Construction costs EUR per km road -35.680 Operating costs EUR per km road -939 Maintenance cost EUR per km road -19.029 Total EUR per km road -55.648 -117.916 -1.340 -40.585 -159.840 -82.236 -401 -21.555 -104.192 -64.352 -22.264 -109.675 0 -196.291 -64.352 -22.264 -109.675 0 -196.291 0 0 0 0 0 -251.939 -356.132 -104.192 115.878 * Positive value means that the Persuade surface result in a net economic benefit for society in general and vice versa. Figure 3.4Result sheet. 21 The cost-effectiveness provides the cost of achieving a one person-dB reduction. In the calculated cost all effects except the noise effect is monetised. The cost-effectiveness result allows for comparison of the efficiency of PERS as a noise mitigation measure with other measures such as noise barriers or other low noise surfaces. Finally, the net result provides the overall economic result of using PERS as a replacement for a conventional reference surface. In this result also the noise benefit (the noise reduction in terms of person-dB reductions) is monetised using a unit cost noise. A positive net result means that the PERSUADE surface provides a net economic benefit for society in general and vice versa. Results can be generated for all cases. The results are presented in tables as showed in Figure 3.4 above, but they are also presented graphically as illustrated below. 600.000 Uncertainty, sensitivity analysis and CPA The input data and assumptions are all associated with uncertainty. Therefore, the models have been supplemented by a standard sensitivity module, which makes it possible to derive the significance of uncertainty on key assumptions such as discount rate, standard unit prices, etc. Further the model has been supplemented by a critical parameter analysis (CPA) module which makes it possible to analyse how much a specific parameter needs to be improved for the net result to break-even (be exactly 0). The CPA module produces results that show how much certain parameter should change to obtain a net result of 0 for PERS in comparison with the reference surface. For example how much the cost of PERS upper layer should be reduced or lifetime increased to provide economic breakeven when a negative net result is the outcome. Total costs for Reference and Persuade 500.000 Noise costs Recycling of tires 400.000 Accidents costs Climate change costs (CO2) EUR 300.000 Air emissions costs Maintenance costs 200.000 Operating costs Construction costs 100.000 0 Reference Persuade Figure 3.5 Example of output presented graphically - Net result. 22 Critical Parameter Analysis Denmark Critical parameters Generel assumptions Discount rate External costs of noise Unit % EUR/person-dB per year Persons per household person/household Technical assumptions Lenght Width Traffic volume meter meter vehicles per day Noise reduction effect - Persuade vs. Ref. dB Net effect on accidents (Persuade-Ref.) Net effect on CO2 (Persuade-Ref.) Recycling of tires number of accidents ton CO2 ton Cost assumptions Constr. costs - cost diff., Persuade vs. Reference In percentage PERS - Foundation PERS - Lower asphalt layer PERS - Upper asphalt layer 01/07/11 10.17 New value for net result=0 Central value 3,5% 13 na 6 2,2 Not varied 1,1 17,7 8.500 Not varied Not varied Not varied 10 4,73 Currently not modelled directly Currently not modelled directly Currently not modelled directly 230% 555% EUR/m2 EUR/m2 EUR/m2 0,0 10,8 16,2 na 76,2 35,2 Op. costs - cost diff., Persuade vs. Reference In percentage 43% 12386% PERS - Cleaning PERS - Ice prevention EUR/m2 EUR/m2 0,000 1,340 na 117,2 Main. costs - cost diff., Persuade vs. Reference In percentage 113% 722% PERS - Remove old surface - lower PERS - Remove old surface - upper EUR/m2 EUR/m2 5,8 5,0 71,3 24,0 Avg. lifetime Persuade surface (weighted) Years 6,59 3,68 Lifetime PERS - Foundation Lifetime PERS - Lower asphalt layer Lifetime PERS - Upper asphalt layer Years Years Years 25 12 3 na 2,05 1,54 Other assumptions External costs of accidents External costs of CO2 External unit value of recycling of tires EUR/accident EUR/ton CO2 EUR/ton Currently not modelled directly Currently not modelled directly Currently not modelled directly Figure 3.6 Critical parameter analysis results - example. For more on the critical parameter analysis see also section 2.4. 23 4. User instructions This section provides general user instructions on the PERSUADE CBA tool. A description of the model fundamental structure and content is provided and it is described how to use and update the model. The instructions are fairly basic and general and they supplement the instructions already included in the model. Using (and in particular updating) the model requires a thorough knowledge of Excel. Not all details of the model are described. Instead the overall principles used in the model are introduced and useful information about the functionalities is provided. Frontpage 4.1 General principles The PERSUADE CBA tool has been developed in an Excel spreadsheet. It has been developed with a set of standard conventions including fixed colours for text and numbers: ▪▪ ▪▪ ▪▪ ▪▪ Input data are typed in blue Results and formulas are typed in black Preliminary data are red Data typed in green is a direct cross-reference (no calculations takes place in the cell). each cell. This makes it easier to keep an overview of the model and to track the calculations that are carried out. Another core principle of the model is that no input data is repeated in the workbook. Correspondingly, no input data (figures) is allowed to be directly typed in into formula cells. Whenever reference to input-data is needed, the formula points at a unique input data cell. This ensures that updating input data is simple and immediately penetrates all calculations. This format allows the user to immediately identify the type of content of Introduction Key parameters and input data Key parameters Costs of Surfaces Case input data Noise reduction effects Sensitivity analysis Sensitivity Background calculations Cons cost & opex External costs Results and critical parameter analysis Results Results sensitivity Scenario calc Figure 4.1 Structure of the PERSUADE CBA model (Sheet ”Overview”). 24 Critical parameter analysis Model structure The models sheets can be split into four groups: ▪▪ ▪▪ ▪▪ ▪▪ Introduction and information sheets (white) that introduce and explain the module objective, structure and content. Input data sheets (blue) that include key assumptions and parameters used in the calculations. Background calculation sheets (no colour) that include all background calculations. Output sheets (black) that present results See sheet ”Introduction” for a complete list of conventions used. The model has a front page, a sheet that introduces the model and a sheet illustrates the model design (all sheets are marked with white tabs following the convention describe above). The next sheet in the models is the ”Key parameters” sheet. This sheet contains the general key input data such as price level, calculation year, inflation rates and discount rate. It also includes data on the noise costs (unit price) and data about other external effects (unit prices and emission factors). This sheet is followed by four sheets which contain case-specific data that should be specified by the user. The sheet ”Case input data” contains overall input data and information for the specific cases in the PERSUADE project. This includes overall characteristics of the cases such as name of city and road and type of road and also important quantitative information such as length and width of the road. The sheet ”Costs of Surfaces” contains information about the costs of both the conventional road surface and about the PERS surface. This includes data on construction, operating and maintenance costs such as unit costs, expected lifetime etc. The sheet ”Effects” contains data on the noise reduction effect of PERS. It includes the noise mapping of number of person exposed to noise in 1 dB intervals in the reference situation. It also includes the noise mapping with the use of PERS. The expected noise reduction effect of PERS could also be calculated automatically by simply typing the expected average noise reduction effect of PERS. Finally, there is a sheet (”Sensitivity”) dedicated to sensitivity analyses. On this sheet variations in key parameters can be specified. These input sheets are followed by two background calculation sheets. On the sheet ”Cons cost & opex” the construction, operating and maintenance cost are calculated. All costs are calculated as annual costs - expressed as EURO per year. On the sheet ”External costs” air emission costs, accident costs and benefits from recycling of tyres are calculated. The results are calculated and presented on four sheets. The sheet ”Results” presents the main results of the calculations, which is the net result of the PERSUADE surfaces in comparison to the reference surface. The sheet also presents the noise reduction effect and cost-effectiveness result. The results are presented in tables and graphically both as total results for the case and as results per km. From the sheet ”Results sensitivity” the sensitivity analysis can be carried out by activating a macro. The sensitivity analysis results are presented in tables and graphs. From the sheet ”CPA” the critical parameter analysis can be carried out by activating a macro. The CPA results are presented in tables showing the central value and the new value resulting in a net result of 0. Finally, from the sheet ”Scenario Calc” scenario calculations with variations in key parameters can be performed. Result tables and charts can be generated showing the result of variations in three main assumptions: ▪▪ ▪▪ ▪▪ Cost upper layer PERS Lifetime - upper layer PERS Reduction effect PERS The results are generated automatically using pre-defined variations (can be easily changed by the user) of the base assumptions. 4.2 Operating the model In its simplest form the model is easy to use. It has been developed with navigation buttons and drop-down boxes which makes it easy to control. To navigate the model the user can either find the sheet of interest in the tab-list at the bottom of the screen or press the corresponding button on the 25 model overview sheet. All sheets in the model have the buttons at the top of the page leading you to the model overview sheet or the result sheet. The model has been developed with a set of predefined key parameters and input data. These data can however be easily adjusted by the user. To generate results for a specific case the user needs to specify at least the following three types of data and information: 1. General case characteristic data - (type of road, number of lanes, length and width of road, speed, average daily traffic, etc.) - Sheet ”Case input data”. 2. Data on the costs of surfaces that reflects the expected cost of the specific case (unit costs and expected life time for construction, operation and maintenance) Sheet ”Costs of Surfaces”. 3. Data on the noise reduction effect in terms of noise mapping of the number of exposed person in each 1 dB interval for reference and PERSUADE surfaces scenario Sheet ”Effects”. On the sheet ”Key parameters” the user could also specify country (case) specific values for noise costs (unit price). As default an EU average value is used. If a country specific value is specified the user should remember to un-check the box ”Use EU average value” on the ”Key parameters” sheet. The user could also adjust input data that has been already specified. This 26 includes country specific values for emission costs and inflation rates. fied) variations in key assumptions such as the discount rate etc. When all the data has been specified the results are calculated and presented on the results sheet. The user should make sure to select the relevant case in the drop down box, which is on top of every sheet. 4.2.2 Conducting critical parameter analyses The user can also perform a critical parameter analysis. This is a done by simply activating the macro on the sheet ”CPA”. The model will then calculate break-even values for the key parameters. The results are presented in a table at the sheet together with the central/original value of the key parameter for easy comparison of how much the parameter needs to change to provide a net result of 0. From the results PERS can be compared to the reference surface over the full range of costs and benefits. The net result shows whether the benefits of the PERS outweigh the costs. 4.2.1 Conducting sensitivity analyses A number of sensitivity analyses have been built into the model on the sheet ”Sensitivity”. The user can choose, in the drop-down menu at the top of the sheets, a number of predefined sensitivity analyses. Furthermore, the user can also specify other values for the pre-defined analyses by changing to the values in column F. This will immediately penetrate the calculations when the corresponding sensitivity analysis is chosen. The user can also choose to specify additional sensitivity analyses. This, however, involves implementing changes to the model. The user needs to implement an ”if”-function to the parameter (or parameters) that is being made subject to analyses. See sheet ”Sensitivity” for inspiration on how this has been implemented for the predefined analyses. On the sheet ”Results sensitivity” it is possible to run a sensitivity analysis module, which will then reflect the results with pre-defined (or user speci- It should be noted that in some situations it is not (mathematically) possible to calculate a break-even value for certain parameters. In this case ”N/A” will be stated as a result for this parameter. 4.2.3 Conducting scenario analyses To get an overview of the interaction between the three main assumptions on the net result scenario analyse can be carried out on the sheet ”Scenario calc”. A set of pre-defined variations (in percentage relative to the central value) has been specified. When the macro is activated these variation are used to generate tables providing net results with all the combinations of variations of the three main assumptions. On this basis graphs are generated to provide a graphical picture of the implication on the net result of the variations. The user could change the pre-defined variations (the blue figures in the tables) but this is not necessary as the variation has been picked to provide results with broad variations in the three main assumptions. 4.3 U pdating and adding data The model has been developed so that it is easy to update. Essentially all input data (blue figures) can be updated just by typing in the new value in the relevant cell. However, some values should not be changed or only changed with care. Red data in the model means that the data are uncertain or preliminary and need to be updated or validated. The key parameters sheet mostly includes pre-defined assumptions and data. These should only be changed if there is a new or better source of information. It is important to adhere to the units applied in the model. Hence, as an example, emission unit cost needs to be specified as EUR/kg emission. On the sheets ”Case input data”, ”Costs of Surfaces” and ”Effects” all input data (again only blue/red figures) are easily updated. These data are those which primarily need to be revised/updated as new/better information about the cases is provided. The user is advised to specify/update the source of information when data is updated. New data could of course be added in the model, for example more external effects. For an advanced user of Excel it should be relatively easy. However, if new data is added the user should be aware that the calculation carried out by activating macros could be affected. For example the sensitivity calculation could be affected if new data is added on the result sheet. The above instructions provide some general and specific hints on how to use and update the model. However, it should be stressed that it has not been possible to describe every possible use or type of update and as a consequence the instructions are by no means exhaustive. 4.4 Epilogue A general important advice before making any change to a model is to always start by finding out exactly how the specific data is being used in the model. This is most easily done starting by using the tracking function in Excel to find the cells that the specific piece of data influences. Then scrutinising and understanding the formula in which data is included and possible continuing tracking the other cells that is also included in same formula. Then possibly also tracking the formula and so on until a complete overview of the influence is provided. This should provide insight into what possible needs to be changed or added if the change in data is made. It is important to note that the model has been developed to serve a specific objective of providing information about the economic performance of PERS as a noise mitigation measure. The model has been developed around the five selected case studies and as a consequence it has been given the highest priority to make the model fit exactly the analysis of these cases. This means that applying the model for other situations than the five cases requires updating and adjustments to the model. The model cannot be (readily) used for analysis of other measures than PERS. But the fundamental principles of the model can be transferred and applied in relation to analysis of the economic efficiency of other measures - for example noise barriers. It requires that case and cost information is replaced and that all background calculations are adjusted to the possible new dimensions of costs. Another important general advice is to work with versions of the models. Each time a critical change is made to the model it should be saved with a new consecutive version numbering. This way it is always possible to return to a version of the models that functions if changes are associated with errors.. 27 5. Outlook and recommendations The model has been developed on the basis of the information available at this stage of the project. This section presents limitations and uncertainties in the analysis and discusses the development perspectives for the models. 5.1 U ncertainties and limitations The applied data and assumptions are associated with uncertainty although great attention has been paid to provide a solid basis for the analysis at this stage of the project. Special attention should be drawn towards the following uncertainties and limitations of the model: ▪▪ ▪▪ 28 Ideally all impacts should be included in the CBA by identifying, estimating and fully quantifying the impacts in monetary values. In practice, it is however almost always problematic to include the full range of impacts. This is also true in this project. Some impacts are not identified. Some impacts cannot be quantified. Some impacts cannot be monetised. Not all external effects are included. The ambition is to recycle tyres in the production of PERS. The re-use of tyre materials is expected to provide environmental benefits in comparison to other disposal options. This potential ▪▪ ▪▪ benefit is not included in the CBA as it has not been possible to put a monetary value on the recycling of tyres. Also changes in accident costs and emissions costs are not included. The model has been developed with appropriate unit prices but at this stage in the project it has not been possible to estimate change in accident frequencies or fuel consumption between the PERS and the reference surface. The model allows for the noise effect to be specified as a general expected average reduction effect. This is an approximation which is associated with uncertainty. It is better to provide the effect through noise model calculations providing a full noise mapping directly. This is also possible in the model but has not been used at this initial stage in the project. The construction costs have been modelled with three cost components. However, at this stage it is only the difference in the costs of the upper layer that has been estimated. In spite of the uncertainties mentioned above, the model could still be used at this stage of the project as a tool to provide useful information of the potential and limitations of the PERS technology and outline the most criti- cal parameters affecting the economic performance. There is however room for improvements of the model, which is further discussed below. 5.2 D evelopment perspectives As previously described, the CBA tool is intended to serve as instrument in the process of improving the characteristics of the PERS. In the end, a final cost-benefit analysis will be carried out to appraise the economic efficiency of PERS as a noise mitigation measure. Taking into account the relative short amount of time that has been available for the initial stage, it has not been possible to provide all the data ideally needed for the analysis and the quality of some of the data could be improved. To some extent it has also been necessary to compromise regarding the level of detail in the modelling and some of the intended functionalities of the models have not been fully developed. In the next stage, it is the ambition to develop the model further by improving the quality of the data input and possibly filling in data and information gaps. In the final analysis, the potential of PERS should be evaluated from the results of the test sections and comparisons with selected alternatives mitigation measures should be carried out. To facilitate these comparisons the model needs to be supplemented by data and calculations of other measures such as noise barriers, façade insulation or other types of noise reducing asphalt. There are some possible developments of the CBA framework that should be stressed. The model could be further detailed with regards to construction costs. More cost components could be included to take account of possible difference in lifetime of more components. Further, more data on the economic effects of asphalt recycling and waste handling, as well as other potential effects on water pollution and sustainability could be included. 5.3 Concluding remarks This report has been prepared under WP7 of the PERSUADE project, which deals with ”Cost-Benefit Analysis”. It provides the technical documentation of the CBA model that has been prepared to support the appraisal of Poro Elastic Road Surfaces (PERSUADE). The overall objective of WP 7 is to appraise the economic efficiency of PERS in comparison with conventional surfaces and in comparison to other noise mitigation measures. This documentation together with the developed spreadsheet model constitutes one of the main WP 7 outputs at the initial phase of the project. The CBA model has been tailored to analyse the economic implications of applying the PERS surface as a substitute for a conventional asphalt surface (reference surface). The model can be used to analyse the implication of applying PERS at specific locations. It is flexible to handle the up to five cases (in up to five different case countries). It includes both the direct and indirect effects of changing pavements. The model supports extensive sensitivity analysis. It thus includes three modules which aim to facilitate identification of the most critical parameters from the best possible estimate of all influential parameters. 29 6. References 1.Danish Road Institute, 2005: Cost-benefit analysis on noise-reducing pavements, Report 146. 2.Danish Road Institute, 2011: WP7 - Costs-benefit analysis, PERSUADE project deliverable, 2011. 3.European Union, 2008: Guide to Cost Benefit Analysis of Investment Projects. July 2008. 4.European Commission, DG Environment, 2006: Noise classification of road pavements, Task 2: Cost-effectiveness of low noise pavements. COWI for EC, 2006. 30 5.HEATCO (2006): Proposal for Harmonised Guidelines. Developing Harmonised European Approaches for Transport Costing and Project Assessment, HEATCO, Deliverable 5. EU 6th Framework study. 2006. 6.Saelensminde K and Veisten K, 2005: Cost-benefit analysis. SILVIA Project Report. 7.SILVIA, 2005: Cost-Benefit Analysis Tool 8.SILVIA, 2005: Cost-benefit analysis. K Saelensminde, TOI and K Veisten, TOI, 2005. 9.Transportministeriet, 2010: Opdatering af værdier for transportens eksterne omkostninger, COWI for Transportministeriet, 2010. 10.Working group on health and socio-economic aspects, 2003: Valuation of noise position paper, 4-december-2003. The Danish Road Directorate’s headquarter is situated in Copenhagen and local offices are situated in Aalborg, Skanderborg, Middelfart, Næstved and Fløng. You will find more information on www.vejdirektoratet.dk. VEJDIREKTORATET Niels Juels Gade 13 Postboks 9018 1022 Copenhagen K Tel.: 0045 7244 3333 [email protected] vejdirektoratet.dk
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