Project funded by European Commission
“DG Climate Action”
TRACCS: Transport data collection supporting the quantitative
analysis of measures relating to transport and climate change
Peer review round 1 (August/September 2012)
Access to database:
 The web site of the project is http://traccs.emisia.com .
 Under the ‘Data’ menu item, please login with username ‘traccs_user’ and password
‘access_data’.
 Once logged in, please find the database located in the ‘Deliverables’ folder on the left.
21 Antoni Tritsi str. | Service Post 2 | GR 57001 | Thessaloniki | T +30 2310 473352 | F +30 2310 804110 | www.emisia.com
Project funded by European Commission
“DG Climate Action”
Short description of the database:
The database will be used to deliver the final (processed) dataset of the project. The proposed
structure in MS Access has been produced as part of the project’s deliverables, but it is still
open to changes and improvements according to feedback received. Therefore, we would very
much appreciate to have your comments and suggestions. The database has been populated
with dummy data so that one can check its operability, but not really extract any useful
information at this stage of the project. Only one country has been included in the database to
keep the file size limited. The following paragraphs describe the rationale and structure of the
database.
Data to be stored and their required resolution
The data to be stored in this database and their resolution is summarized below.
General Info
Temporal coverage
Annually 2005-2010
Vehicle categories
1.
2.
3.
4.
5.
Mopeds and Motorcycles (L category)
Passenger Cars (M1)
Buses (M2, M3)
Light Commercial Vehicles (N1)
Heavy Goods Vehicles (N2, N3)
Vehicle Classification according to two main criteria
Vehicle Category
Criterion 1: Vehicle type
Criterion 2: Propulsion
Mopeds and Motorcycles
2-stroke
4-stroke
Gasoline
Passenger Cars
Market Segment
(small, compact, medium,
large, luxury, MPV, SUV, or any
other similar segmentation)
Petrol (Gasoline)
Diesel
LPG
CNG
Flexifuel (E85)
Gasoline Hybrid
Buses
Urban
Coach
Diesel
LPG
CNG/Biogas
B30
N1/I
N1/II
N1/III
Petrol (Gasoline)
Diesel
LPG
CNG
Flexifuel (E85)
Gasoline Hybrid
Light Commercial
Vehicles
21 Antoni Tritsi str. | Service Post 2 | GR 57001 | Thessaloniki | T +30 2310 473352 | F +30 2310 804110 | www.emisia.com
Project funded by European Commission
“DG Climate Action”
GVW types as per
COPERT/HBEFA
(Rigid from ≤7.5t to >32t,
Articulated from 14-20t to
50-60t)
Heavy Goods Vehicles
Petrol (Gasoline)
Diesel
The following criteria are also used:
 Age distribution of vehicles.
 Ownership of passenger cars (corporate, self-employed professional, private).
Data to be stored
Data type
Short Explanation
Number of vehicles
Number of operating vehicles in the stock, classified by age
New registrations /
De-registrations
Annual new registrations / Vehicles exiting the stock, per
age
Second hand registrations
Registrations of second-hand vehicles, according to age
Activity data
Mileage/passenger-km/vehicle-km/tonne-km (per age)
Price and VAT
Registration and Ownership
taxes
Insurance, Operation,
Maintenance, and Toll costs
Labour cost
Purchase cost per vehicle type
Per vehicle type
Per vehicle type
For drivers of commercial vehicles
Type of database
A relational database has been selected to store the data, because it offers ease of use (tables
with rows and columns), flexibility (combined information originally stored in individual tables
can be retrieved), precision (no ambiguity in the final dataset), and data independence.
Tables’ creation
Each data item component will be stored in a different table, which however follows a generic
structure. This generic structure consists of the index keys and values of the corresponding
data component. The list of columns (generic table) follows below. Not all of these columns are
present in all tables, since not all components will be collected at the same level of detail.
List of columns (generic table)
Column Name
Description
Field Type
CountryID
The ID for each country
Integer
YearID
The ID for the different years
Integer
VehicleID
The vehicle ID, e.g. passenger car, light duty Integer
vehicle etc
21 Antoni Tritsi str. | Service Post 2 | GR 57001 | Thessaloniki | T +30 2310 473352 | F +30 2310 804110 | www.emisia.com
Project funded by European Commission
“DG Climate Action”
TypeID
The vehicle segment ID, or vehicle size ID
Integer
PropulsionID
The propulsion ID, e.g. gasoline, diesel, electric Integer
etc
Age
The vehicle age
Value
The corresponding value for
population, mileage, cost etc
UnitID
The unit ID for each component, e.g. gr/km, Integer
number of vehicles, vehicle kilometres etc
Integer
the
table,
e.g. Double
A list of all tables in the database follows below.
List of tables in the database and their description
Table Name
Description
IDActivity
Description of the activity IDs
IDCountry
Description of the country IDs
IDOwnership
Description of the ownership IDs
IDPropulsion
Description of the propulsion IDs
IDTripClass
Description of the trip class IDs
IDType
Description of the vehicle type IDs
IDUnit
Description of the unit IDs
IDVehicle
Description of the vehicle IDs
IDYear
Description of the year IDs
Activity Distinction
Vehicle activity in %
Car Price
Vehicle price in euro per vehicle
CO2
CO2 emission factor in gr/km
Insurance costs
Insurance cost in % vehicle price
Labour cost
Labour cost in euro per vehicle and year
Load factor
HD load factor in %
Maintenance costs
Maintenance cost in euro per year
Mileage f(age)
Mileage dependence of age in %
Mileage Mo
Annual vehicle mileage in km per year
Occupancy ratio
Vehicle occupancy ration in passengers per vehicle
Operation costs
Vehicle operation cost in euro per km
Ownership
Vehicle ownership category in %
Ownership costs
Vehicle ownership cost in euro per km
21 Antoni Tritsi str. | Service Post 2 | GR 57001 | Thessaloniki | T +30 2310 473352 | F +30 2310 804110 | www.emisia.com
Project funded by European Commission
“DG Climate Action”
Population
Vehicle population in number of vehicles
Registration costs
Vehicle registration cost in euro per year
Toll cost
Vehicle toll cost in euro per km
Trip classes
Vehicle trip classes in %
VAT
Vehicle VAT in %
Indexes and primary keys
Each table includes unique IDs describing the different vehicle types in the database. To avoid
discrepancies in the data, a unique index including a number of primary keys has been created
for each table. The index includes the primary keys shown below, which are different according
to the different level of detail contained in each table.
Primary keys included in each table index
Column Name
Key Type
CountryID
Primary
YearID
Primary
VehicleID
Primary
TypeID
Primary
PropulsionID
Primary
Age
Primary
Relationships of the different tables
Relationships between different tables have been established, by linking certain keys, to make
easier the creation of queries. This is the point where the “useful” information is produced
(final, easily understandable, information for the end-users). Hence, at this point, some needs
for slight modifications of the database may arise, e.g. to answer to questions that have not
been foreseen. A list of the queries included in the database with a short description follows
below. This table should be considered as indicative at this stage, and subject to changes and
further improvements at a later stage.
List of queries in the database
Query Name
Description
qryCar Price
Price of Vehicle in euro
qryCO2ef
CO2 emission factors in g/km
21 Antoni Tritsi str. | Service Post 2 | GR 57001 | Thessaloniki | T +30 2310 473352 | F +30 2310 804110 | www.emisia.com
Project funded by European Commission
“DG Climate Action”
qryCO2em
CO2 emissions in g/year
qryCO2emPerActivity
CO2 emissions per activity in g/year
qryCO2emPerOwnership
CO2 emissions per ownership in g/year
qryInsurance
Insurance cost of a single vehicle in euro per year
qryInsurance per Year
Insurance cost of a single vehicle per year
qryInsurance
Total
per
Year Insurance cost for all vehicles in euro per year
qryLabour Cost
Labour cost in euro per year
qryLabour Cost Total
Labour cost for all vehicles in euro per year
qryLoad Factor
Load Factor in %
qryMaintenance Cost
Maintenance cost in euro per km
qryMaintenance
Total
Cost Maintenance cost for all vehicles in euro per year
qryMileage
Mileage in km per year
qryOccupancy
Occupancy ratio in passengers per vehicle
qryOperation Costs
Operation cost in euro per km
qryOperation Costs Total
Operation cost for a single vehicle per year in euro
qryOperation Costs Total Operation cost for all vehicles in euro
per Ownership
qryOwnership Costs
qryOwnership
Total
Ownership cost in euro per km
Costs Ownership cost for a single vehicle per year in euro
qryOwnership
Costs Ownership cost for all vehicles in euro
Total per Ownership
qryPkM
Passenger kilometres
qryPkmPerActivity
Passenger kilometres per activity
qryPKmPerOwnership
Passenger kilometres per ownership
qryPopulation
Vehicle population
qryRegistration Costs per Registration cost per ownership in euro
Ownership
qryToll Cost
Toll cost in euro per km
qryToll Cost Total
Toll cost for all vehicles in euro
qryToll Cost
Ownership
Total
Per Toll cost for all vehicles per ownership in euro
qryTrip Class
Vehicle trip classes in %
qryVAT
VAT in %
qryVATPerAge
VAT per vehicle age in %
21 Antoni Tritsi str. | Service Post 2 | GR 57001 | Thessaloniki | T +30 2310 473352 | F +30 2310 804110 | www.emisia.com
Project funded by European Commission
“DG Climate Action”
qryVkM
Vehicle kilometres
qryVkmPerActivity
Vehicle kilometres per activity
qryVKmPerOwnership
Vehicle kilometres per ownership
Interface of the database
A (final) graphical user interface will be designed so that the users of the database can easily
extract the available information. A primitive interface has been designed for the version of the
database for this peer review process.
Further specific questions for feedback:
There are a number of open issues related to the project, for which we kindly ask for your
feedback/opinion.
1. We haven’t found yet many data about ownership distinction of passenger cars (corporate,
self-employed professional, private). Could you please give us some ideas for possible
sources?
2. We are also very much interested in obtaining data about loading factors and cargo-types
percentage profiles per vehicle class for freight transport. Could you also give us some
feedback on that?
3. EUROSTAT road freight transport methodology (total/national/international/cabotage): There
is a preference to report national activity according to truck registration plate and not
territorial activity. That is national emissions are calculated on the basis of the nationally
registered stock by adjusting mileage so that total energy statistics are met. The alternative
would be to consider also foreign vehicle stock operating on the national territory. Could we
have your opinion on that?
4. Commodity/cargo classes and trip/distance bands:
We have agreed to use the following cargo classes (no commodity split) and the following
distance bands for all freight modes of transport.
Cargo classes
o
o
o
o
Liquid bulk goods
Dry bulk goods
Containers
Other
Distance bands
o
o
Urban (by definition <300 km)
Non-urban
21 Antoni Tritsi str. | Service Post 2 | GR 57001 | Thessaloniki | T +30 2310 473352 | F +30 2310 804110 | www.emisia.com
Project funded by European Commission
“DG Climate Action”
o
o
o
o
0-300 km (EUROSTAT data for road freight to become publicly available)
300-500 km
500-1000 km
>1000 km
Are these cargo classes relevant for your models and analysis?
5. Do you have any other comments and suggestions about the data structure? (Please keep in
mind discussions and conclusions of the expert group meeting hosted by DG Climate Action
in January.)
6. Do you have any other comments about the actual MS Access file?
21 Antoni Tritsi str. | Service Post 2 | GR 57001 | Thessaloniki | T +30 2310 473352 | F +30 2310 804110 | www.emisia.com