4797 URBAN GONDOLAS IN ILE-DE-FRANCE: FORECASTING TRAFFIC ON A NEW MODE Anne-Eole Meret-Conti, Laurence Debrincat (STIF) Marco Kouwenhoven, Cyrille Dupré-Gazave, Eric Kroes (Significance) 1- Context The cable A project 2- Methodology A study in three phases: interviews, SP survey and data analysis/modelling 3- Perceptions Cluster profiles of opinions towards gondola lift: pros and cons 4- Route choice parameters Model estimation and route choice parameters for urban gondola lift in Ile-de-France 1. Context 2. Methodology 3. Perceptions 4. Route choice parameters A gondola lift project in the suburbs southeast of Paris 1. Context 2. Methodology 3. Perceptions 4. Route choice parameters Cable A key dates 2008 Local actors consider a gondola lift project on the Créteil-Villeneuve-StGeorges territory. The project line is called TELEVAL. 2012-2013 2015-2016 2016 >2016 STIF carries out a territorial diagnosis on mobility needs: the gondola lift is considered suitable given the stakes. This study: Perceptions of gondola lift in Ile-de-France and route choice parameters. The decision process for public transport project has officially started – STIF validates results of the preliminary studies. Decision process continues... 1. Context 2. Methodology 3. Perceptions 4. Route choice parameters A study in three phases September 2015 Phase 1: 20 openended interviews • Aims: establish advantages and disadvantages of gondola lift • 20 interviews of 2h with different segments of people November 2015 – March 2016 Phase 2: SP survey with 1353 inhabitants of Ile-de-France • Questionnaire: socio-demographics, perceptions, SP survey • Recruitment: local recruitment (37%) and internet panel (63%) • Population: ≥15 years, living in Paris conurbation (+cable A area) March & April 2016 Phase 3: data analysis and modelling • Descriptive statistics • Data clustering on perceptions/opinions: profiles • SP modelling: utility coefficients, elimination optimism bias, route choice parameters 1. Context 2. Methodology 4. Route choice parameters 3. Perceptions SP Survey: three experiments 3 different SP experiments, each consisting of 7 choices between two transit routes. Stated Choice Context Travel time Service frequency Level of crowding SP 1 SP 2 SP 3 Gondola A versus Gondola B Gondola A versus Bus Public Transport chain with Gondola versus Public Transport chain without Gondola 1. Context 2. Methodology 3. Perceptions 4. Route choice parameters PT Chains with Gondola: • • • • Gondola lift + Metro Gondola lift + RER Gondola lift + Bus Gondola lift + Tramway PT Chains without Gondola: • • • • • • • Bus Bus + Metro Bus + RER Bus + Bus Metro Metro + RER Tram 1. Context 2. Methodology 3. Perceptions 4. Route choice parameters A positive image of the gondola lift – as long as security standards are high Cable A is partially located in an urban area stated “potentially unsafe” by its inhabitants. 1. Context 2. Methodology 3. Perceptions 4. Route choice parameters Statements on gondola lift: agreement and division 1. Context 2. Methodology 3. Perceptions 4. Route choice parameters Statements on gondola lift: agreement and division 1. Context 2. Methodology 3. Perceptions 4. Route choice parameters Four profiles Profile 1: Afraid of the unknown and attracted to novelty Profile 3: Indirect profit They expect the system to be reliable and attractive, but they fear the unknown (heights, being isolated in a cabin). They are distinguished by a low transit mode share. They hope the gondola lift, which they consider efficient, will reduce road congestion (modal shift, and replacement of bus lines) and, in this way, improve their travels. Profile 2: Vacation in the city Profile 4: Fear of unreliability They appreciate the gondola lift they know from their holidays, but consider it quite unfit for urban trips. They are mainly concerned by incidents and operating breakdown – as the system is new, they fear it will be off regularly and they will be penalized in their daily trips. 1. Context 2. Methodology 3. Perceptions 4. Route choice parameters Stated-preferences modelling process Step 1a: Naive models For each experiment: first model including all parameters Step 1b: Best models For each experiment: estimate best possible model Step 2a: Generalisation Combined model based on all three experiments together Step 2b: Bias reduction Bias reduction: by excluding non-traders and correcting answers of people recruited through the internet panel Step 3: Route choice parameters Route choice parameter: estimation of parameters using both generalised model (after bias reduction) and ANTONIN 3 specs. 1. Context 2. Methodology 3. Perceptions Route choice parameters 1 min. Gondola time = 1 min. Bus time Crowding factor Gondola 1.31 (multiplier) Boarding penalty Gondola 3.9 min. Bus time Transfer penalty Gondola Metro 4.9 min. Bus time Train 4.9 min. Bus time Bus 4.1 min. Bus time Tramway 4.4 min. Bus time 4. Route choice parameters 1. Context 2. Methodology 3. Perceptions Follow-up Public consultation Aims: • Line characteristics are understood by all • Advantage/disadvantages of the gondola lift are presented correctly Project CBA • • Route choice parameters included in ANTONIN 3 forecasting model Used to estimate traffic and to evaluate costs and benefits of the project STIF strategy on urban gondola lift projects 4. Route choice parameters Thank you for you attention. Any question ? [email protected] [email protected]
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