Full Version - Issue 7 | November 2011 - LTA Academy

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Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning activities. The challenge will be to integrate this within the MATSim approach of modelling the whole daily schedule. The interaction of the joint choice on the then partially coordinated schedules will be the focus of the work. It is open at this point whether the most productive path will be a joint optimisation/satisfaction approach or an explicit discrete choice model. Both options will have to be explored and tested. Key Impacts And Outlook The integration of the two time horizons, m e d i u m a n d l o n g , is a s i g n i f i c a n t methodological innovation that will enable a global analysis of complex issues related to mobility in the future, as the various modules of the system can be integrated as the issue concerned requires. Hence, this framework allows large-scale policy tests for various temporal dimensions. However, the system will be first explicitly tested for stability of the simulation results, multiple equilibria and heterogeneous demand- and supply-side agents. The integration of the two time horizons, medium and long, is a significant methodological innovation that will enable a global analysis of complex issues related to mobility in the future, as the various modules of the system can be integrated as the issue concerned requires. 16 JOURNEYS | November 2011 From a medium-term horizon, the generalised costs of moving persons, goods and information can be derived from the new framework. Policymaking is interested in lowering these generalised costs of movement as these induce more efficient labour and goods markets. Policymaking also requires a detailed account of the winners and losers of any change in the supply, regulation and costs of transport infrastructure and services. The proposed framework targets in this direction and allows, due to the highly disaggregated approach, detailed analysis of winners and losers of change, either in infrastructure or policy. For policymaking over time horizons of several years, an account of the daily flows and the form and structure of the urban environment is needed. The development of a spatially detailed, path-oriented, land-use aware transport model for Singapore will provide new insight into the possible risks and benefits of different policies. The p r o j e c t will p u b l i s h its results t h r o u g h appropriate working papers on the Future Cities Laboratory website (www.futurecities.ethz.ch), peer-reviewed journals, and supplement this with papers and presentations at peer-reviewed, as well as, professional conferences. The code written will be licensed as GNU public licence and where appropriate, it will become part of the then current MATSim release.
References Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning Acknowledgement The authors thank National Research Foundation of Singapore which is funding this research programme, and the Future Cities Laboratory as part of the CREATE initiative. Furthermore, we are grateful to the numerous data providers, especially Land Transport Authority of Singapore, Urban Redevelopment Authority, Singapore Land Authority, SingStat, and Housing Development Board, to name a few. Finally, we appreciate the collaboration with the colleagues from Future Urban Mobility, MIT SMART and from TUM CREATE. Arentze, T. A. and H. J. P. Timmermans. 2006. A new theory of dynamic activity generation. Paper presented at the 85th Annual Meeting of the Transportation Research Board. Washington, D.C., USA. Arentze, T. A. and H. J. P. Timmermans. 2007. A multiagent activity-based model of facility location choice and use. Transportation Research Record 43 (3): 33–44. Arentze, T.A., M. Kowald and K.W. Axhausen. 2011. A Method to Model Population-Wide Social Networks for Large Scale Activity-Travel Micro-Simulation, Working Paper, 698, IVT, ETH Zurich, Zurich, Switzerland. Axhausen, K. W. 2006. Moving through nets: An introduction, ed. K. W. Axhausen. Moving Through Nets: The Physical and Social Dimensions of Travel: 1–7, Elsevier, Oxford, UK. Axhausen, K. W., A. Frei and T. Ohnmacht. 2006. Networks, biographies and travel: First empirical and methodological results. Paper presented at the 11th International Conference on Travel Behaviour Research (IATBR). Kyoto, Japan. Balmer, M., K. Meister, R. A.Waraich, A. Horni, F. Ciari and K.W. Axhausen. 2010. Agentenbasierte Simulation für location based services, Final Report, F&E Förderung: Science to Market: KTI 8443.1 ESPP-ES, Datapuls AG, IVT, ETH Zurich, Zurich, Switzerland. Bradley, M. A. and J. L. Bowman. 2006. Design features of activity-based microsimulation models for U.S. metropolitan planning organizations. Paper presented at the Innovations in Travel Demand Modeling (ITM’06). Austin, USA. Carrasco, J. A. 2006. Social activity-travel behaviour: A personal networks approach. Ph.D. Thesis, Toronto: University of Toronto, Canada. Carrasco, J. A., B. Hogan, B.Wellman and E. J. Miller. 2008. Collecting social network data to study social activity-travel behavior: An ego-centered approach, Environment and Planning B 36 (6): 961–980. Ciari, F., M. Löchl and K.W. Axhausen. 2008. Location decisions of retailers: An agent-based approach. Paper presented at the International Conference on Recent Advances in Retailing and Services Science. Zagreb, Croatia. Daganzo, C. F. 2006. Bus lanes with intermittent priority: Strategy formulae and an evaluation, Transportation Research Part B 40 (9): 731–744. Daganzo, C. F. 2008. A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons, Transportation Research Part B 43 (10): 913–921. Daganzo, C. F. 2010. Struture of competitive transit networks, Transportation Research Part B 44 (4): 434–446. Feil, M. 2010. Choosing the daily schedule: Expanding activity-based travel demand modeling. Ph.D. Thesis, Zurich: ETH Zurich, Switzerland. Fletterman, M. 2008. Designing Multimodal Public Transport Networks Using Metaheuristics, Master Thesis, Faculty of Engineering, Built Technology and Information Technology. University of Pretoria, Pretoria, South Africa. Frei, A. and K.W. Axhausen. 2007. Size and structure of social network geographies, Working Paper, 444, IVT, ETH Zurich, Zurich, Switzerland. Frei, A. and K. W. Axhausen. 2011a. Collective location choice model, Working Paper, 686, IVT, ETH Zurich, Zurich, Switzerland. Frei, A. and K. W. Axhausen. 2011b. Modeling spatial embedded social network, Working Paper, 685, IVT, ETH Zurich, Zurich, Switzerland. Hackney, J. K. (2009) Integration of social networks in a large-scale travel behavior microsimulation. Ph.D. Thesis, ETH Zurich, Zurich, Switzerland. Hackney, J. K. and F. Marchal. 2008. A model for coupling multi-agent social interactions and traffic simulation, Working Paper, 516, IVT, ETH Zurich, Zurich, Switzerland. JOURNEYS | November 2011 17
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PRAGUE Population: 1.2 million Land
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References VIENNA Population: 1.6 m
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References Functional Area Affordab
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References Toei - Tokyo Tokyo Metro
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References Toei - Tokyo Tokyo Metro
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The LTA Academy was launched in Sep
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