1. KIT – University of the State of Baden-Wuerttemberg and National Laboratory of the Helmholtz Association INSTITUTE FOR ECONOMIC POLICY RESEARCH (IWW), NETWORK ECONOMICS www.kit.edu ECKHARD SZIMBA ETISplus Rail Data Workshop TRANS-TOOLS : Rail data gaps Brussels, BELGIUM 19 November 2010

2. Institute for Economic Policy Research (IWW) Network Economics 2Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges Agenda Brief overview of the TRANS-TOOLS model General features Structure and modules Rail data gaps and challenges Network and impedance data Demand data Conclusions

3. Institute for Economic Policy Research (IWW) Network Economics 3Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges TOOLS for TRansport forecasting ANd Scenario testing Transport demand and assessment model developed on behalf of the European Commission by European project consortia Model version v1: 2004 – 2008 Model version v2: 2008 – 2010/ 11 Model version v3: start 2011 Aim: Consolidation of European transport demand and assessment models and integration of the available European models on a common platform ›Proprietary‹ and Intellectual property right free (IPR) reference model by the European Commission for the assessment of transport policy measures TRANS-TOOLS : General Features (I)

4. Institute for Economic Policy Research (IWW) Network Economics 4Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges TRANS-TOOLS : General Features (II) Analogy to models of other sectors: PRIMES/ POLES – Energy TREMOVE/ RAINS (GAINS) – Environment Consistency to the EU Transport Policy Information System ETIS Hosted by the Joint Research Centre (JRC), IPTS, Seville Geographical scope 55 countries Circa 300 NUTS-2 regions (trade/ logistics/ freight model, regional economic model) Circa 1,300 NUTS-3 regions (passenger transport model) Modes of transport Passenger transport: road/ rail/ air Freight transport: road/ rail/ inland waterways/ maritime

5. Institute for Economic Policy Research (IWW) Network Economics 5Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges TRANS-TOOLS v1: Modules and structure Input data: Socio-economic data, Network models Input data: Socio-economic data, Network models

6. Institute for Economic Policy Research (IWW) Network Economics 6Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges Passenger transport Input data: Socio-economic data, Network models Input data: Socio-economic data, Network models TRANS-TOOLS v1: Modules and structure

7. Institute for Economic Policy Research (IWW) Network Economics 7Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges Passenger transport Freight transport and logistics Freight transport and logistics Input data: Socio-economic data, Network models Input data: Socio-economic data, Network models TRANS-TOOLS v1: Modules and structure

8. Institute for Economic Policy Research (IWW) Network Economics 8Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges Passenger transport Freight transport and logistics Freight transport and logistics Regional economic model Regional economic model Input data: Socio-economic data, Network models Input data: Socio-economic data, Network models TRANS-TOOLS v1: Modules and structure

9. Institute for Economic Policy Research (IWW) Network Economics 9Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges Passenger transport Freight transport and logistics Freight transport and logistics Traffic assignment Regional economic model Regional economic model Input data: Socio-economic data, Network models Input data: Socio-economic data, Network models TRANS-TOOLS v1: Modules and structure

10. Institute for Economic Policy Research (IWW) Network Economics 10Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges External effects Passenger transport Freight transport and logistics Freight transport and logistics Traffic assignment Regional economic model Regional economic model Input data: Socio-economic data, Network models Input data: Socio-economic data, Network models TRANS-TOOLS v1: Modules and structure

11. Institute for Economic Policy Research (IWW) Network Economics 11Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges External effects Passenger transport Freight transport and logistics Freight transport and logistics Traffic assignment Regional economic model Regional economic model Input data: Socio-economic data, Network models Input data: Socio-economic data, Network models TRANS-TOOLS v1: Modules and structure

12. Institute for Economic Policy Research (IWW) Network Economics 12Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges External effects Passenger transport Freight transport and logistics Freight transport and logistics Traffic assignment Regional economic model Regional economic model Input data: Socio-economic data, Network models Input data: Socio-economic data, Network models TRANS-TOOLS v1: Feedback Loop

13. Institute for Economic Policy Research (IWW) Network Economics 13Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges Data which requires specific checks Data on frequencies of passenger trains at link level Data on ›Free Speed‹ Lack of data ›Traffic count‹ data Information on priority rail freight corridors More detailed information on link characteristics (e.g. type of passenger trains operating on a certain link) Passenger rail terminals Computation methodology of rail fares does not reflect tariff variance of service segments (e.g. high-speed trains vs. regional trains) (Modelling rail does not reflect timetable-based service levels) Rail Data Gaps and Challenges – Network and impedance data

14. Institute for Economic Policy Research (IWW) Network Economics 14Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges Rail Data Gaps and Challenges – Demand data Lack of link load data => Restricted possibilities to calibrate assignment => Restricted possibilities to assess link capacity Lack of demand data at the level of O/D relations => Limited possibilities to calibrate the modal split stage of transport demand modelling

15. Institute for Economic Policy Research (IWW) Network Economics 15Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges Conclusions Most prominent data gaps are ‘observed‘ demand data Level of O/D relations Level of of network links Demand data at the level of O/D relations are available within railway companies (statistics on tickets sold) Demand data at the level of network links are available within rail infrastructure companies (slots sold) Provision of demand data to transport modellers (even a percentage sample) would Enhance the accuracy and quality of demand modelling for the rail mode Enhance the quality of impact assessment results Improve the possibilities to identify rail network bottlenecks Increase the accuracy of policy decisions in favour of the rail mode

16. Institute for Economic Policy Research (IWW) Network Economics 16Eckhard Szimba ETISplus Rail Data Workshop TRANS-TOOLS: Rail Data Gaps and Challenges Eckhard Szimba, Ph.D. Karlsruhe Institute of Technology (KIT) Institute for Economic Policy Research (IWW) Network Economics szimba@kit.edu Thank you for your attention. 