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MARS Strategic Policy Simulation and Optimisation

MARS Strategic Policy Simulation and Optimisation. Final workshop of the DISTILLATE programme Great Minster House, London Tuesday 22 nd January 2008 Paul Pfaffenbichler, Simon Shepherd TUW and ITS, Leeds. Objectives.

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MARS Strategic Policy Simulation and Optimisation

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  1. MARS Strategic PolicySimulation and Optimisation Final workshop of the DISTILLATE programme Great Minster House, London Tuesday 22nd January 2008 Paul Pfaffenbichler, Simon Shepherd TUW and ITS, Leeds

  2. Objectives To enhance sketch planning models so that they can be used by a wider range of stakeholders

  3. The dynamic land use and transport interaction model MARS • MARS is a dynamic land use and transport interaction model. • MARS works on a rather high spatial aggregation. • MARS includes feedback loops between land use and transport systems. • MARS includes the relevant regional means of transport. • MARS is deterministic in each iteration but it’s markets are not necessarily in equilibrium. • MARS is designed to identify best performing land use and transport strategies. • MARS aims at being as transparent as possible („White box“).

  4. The dynamic land use and transport interaction model MARS – case studies

  5. The dynamic land use and transport interaction model MARS – Overall structure

  6. The dynamic land use and transport interaction model MARS – Sub-models, basic structure Transport sub-model Spatial distribution residents Accessibility costumers, workforce Spatial distribution workplaces Accessibility workplaces Residential location sub-model Work place location sub-model Land price Availability of land Reference: P. Pfaffenbichler, G. Emberger, S. Shepherd: "The integrated dynamic land use and transport model MARS"; XIV Congreso Panamericano de Ingeneria de Tránsito y Transporte, Las Palmas de Gran Canaria. 2006.

  7. Improvements and changes made in DISTILLATE • Heavy Rail model incorporated for urban stations in Leeds • Congestion added to the off-peak • Quality factors for bus corridors • Representation of increased parking search time due to parking capacity • Over crowding on public transport • Add awareness campaigns as a policy instrument • Improve the flight simulator front-end • Link output to the dynamic GIS software Animap Reference: S. Shepherd, J. Shires, P. Pfaffenbichler, G. Emberger: "Improving the capabilities and use of strategic decision making tools"; 11th World Conference on Transport Research (WCTR), University of California, Berkeley, CA/USA. 2007.

  8. The MARS flight simulator tool – starting screen

  9. The MARS flight simulator tool – review structure

  10. The MARS flight simulator tool – input screen

  11. The MARS flight simulator tool – output tools

  12. © Centre of Regional Science, Department of Spatial Development, Infrastructure, Environmental Planning, Vienna University of Technology Hocevar, A., Lunak, D., and Riedl, L. "Darstellung von Zeitreihen räumlicher Daten mittels WebMapping." Schrenk M. (Hrsg.): Beiträge zum Symposium CORP2004, Wien

  13. Conclusions • Several improvements of the MARS model have been made based on the outcome of the DISTILLATE survey. • The user friendly interface has been improved. • For an improved visualisation of the results MARS was linked to a dynamic GIS software. • The MARS modelling suite is an easy to set up and easy to use tool to explore, assess and optimise the outcome of complex land use and transport strategies.

  14. Questions? Paul Pfaffenbichler: paul.pfaffenbichler@ivv.tuwien.ac.at Simon Shepherd: S.P.Shepherd@its.leeds.ac.uk Webpage: www.ivv.tuwien.ac.at/forschung/mars-metropolitan-activity-relocation-simulator.html

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