Viewpoint: Integrated urban modeling: Past, present, and future
AbstractIntegrated urban models (IUMs) (aka, integrated transport/land-use models) have been developed and (sometimes) applied for more than 50 years, dating back to the early 1960s. IUMs have been criticized over this same period on both practical and theoretical grounds. At the same time, continuing and very significant technological developments have made possible the development, implementation and use of such models in operational planning settings in various countries worldwide. A major review of the IUM state of the art and recommendations for evolution of this state were prepared by the author and colleagues 20 years ago. This paper presents an update of the 1998 report in terms of a summary of progress over the past 20 years, a critical assessment of the current IUM state of the art and practice, and needs and prospects for future development. This paper argues that the current modeling state is in “the doldrums,” similar to concerns raised by Pas in the seminal 1990 critique of activity-based travel models. It then outlines research and development needs to exploit current and emerging data, computing, and methodological developments that hold promise for the development of a much more powerful and useful “next generation” of IUMs.
Batty, M. (2005). Cities and complexity: Understanding cities with cellular automata, agent-based models and fractals. Cambridge MA: MIT Press.
Batty, M. (2008). The size, scale and shape of cities. Science, 319, 769–771.
Batty, M. (2013). The new science of cities. Cambridge MA: MIT Press.
Bettencourt, L. M. A., Lobo, J., Helbing, D., Kuhnert, C., & West, G. B. (2007). Growth, innovation, scaling, and the pace of life in cities. Proceedings of the National Academy of Science, 104(17), 7301–7306.
Bettencourt, L. M. A., & West, G. B. (2010). A unified theory of urban living. Nature, 467, 912–913.
Bettencourt, L. M. A. (2013). The origins of scaling in cities. Science, 340, 1438–1441.
Clay, M. J., & Johnston, R. A. (2005). Univariate uncertainty analysis of an integrated land use and transportation model: MEPLAN. Transportation Planning and Technology, 28(3), 149–165.
de la Barra, T. (1989). Integrated land use and transport modeling: Decision Chains and hierarchies. Cambridge, United Kingdom: Cambridge University Press.
Demographia. (2017). Demographia world urban areas, 13th annual edition. Retrieved from http://demographia.com/db-worldua.pdf
Goldner, W. (1971). The Lowry model heritage. Journal of the American Institute of Planners, 37(2), 100–110.
HBA Specto. (2013). Best practice review of integrated land use—transportation models, literature review, project technical report 1. Calgary, Alberta: Ontario Ministry of Transportation.
Horni, A., Nagel, K., & Axhausen, K. W. (2016). The multi-agent transport simulation MATSim. Retrieved from http://matsim.org/the-book
Kockelman, K., & Krishnamurthy, S. (2003). Propagation of uncertainty in transportation-land use models: Investigation of DRAM-EMPAL and UTPP predictions in Austin, TX. Transportation Research Record, 1831, 219–229.
Lee, D. B. (1973). Requiem for large scale models. Journal of the American Institute of Planners, 39, 163–178.
Lee, D. B. (1994). Retrospective on large scale urban models. Journal of the American Planning Association, 60, 35–40.
Martinez, F. J. (1992). The bid-choice land-use model: An integrated econometric framework. Environment and Planning A, 24, 871–875.
Miller, E. J. (2009). Integrated urban models: Theoretical prospects, invited resource paper. In R. Kitamura, T. Yoshii, & T. Yamamoto (eds.), The expanding sphere of travel behavior research: Selected papers from the 11th international conference on travel behavior research (pp. 351–384). Bingley, UK: Emerald.
Miller, E. J. (2013a). Towards a third urban revolution: Transportation and cities in the 21st century. Margolese National Prize for Urban Design acceptance lecture, Vancouver, March 18.
Miller, E. J. (2013b). Spatial choice modeling issues. Presented at TRISTAN VII, San Pedro de Atacama, Chile, June 9–14.
Miller, E. J. (2015). First, we take Toronto...lessons from the TASHA implementation and next steps. Invited presentation, Behavioral detail and computational demands in agent-based models workshop, Future Cities Laboratory, Singapore, March 24–26.
Miller, E. J. (2017). The case for microsimulation frameworks for integrated urban models. Submitted to Journal of Transport and Land Use.
Miller, E. J., Kriger, D. S., & Hunt, J. D. (1998). Integrated urban models for simulation of transit and land-use policies, final report of the Transit Cooperative Research Project H-12. Toronto: University of Toronto Joint Program in Transportation.
Moeckel, R. (2017). Constraints in household relocation: Modeling land-use/transport interactions that respect time and monetary budgets. Journal of Transport and Land Use, 10(2), 1–18.
Moeckel, R., Schwarze, B., Spiekermann, K., & Wegener, M. (2007). Simulating interactions between land use, transport and environment. Proceedings of the 11th World Conference on Transport Research, Berkeley, CA: University of California at Berkeley.
Pas, E. I. (1990). Is travel demand analysis and modeling in the doldrums? In P.M. Jones (ed.) Developments in dynamic and activity-based approaches to travel analysis (pp. 3–27). Farnham, United Kingdom: Aldershot.
Rodier, C. J. (2004). Verifying the accuracy of regional models used in transportation and air quality planning. Transportation Research Record, 1898, 45–51.
Rosenfield, A., Chingcuanco, F., & Miller, E. J. (2013). Agent-based housing microsimulation for integrated land use, transportation, environment model system. Procedia Computer Science, 19, 841–846.
Spiekermann, K., & Wegener, M. (2007). The PROPOLIS model for assessing urban sustainability. In M. Deakin, G. Mitchell, P. Nijkamp, & R. Vreeker (eds.) Sustainable urban development, volume 2, the environmental assessment methods (pp. 306–326). Abingdon, United Kingdom: Routledge.
Strauch, D., Moeckel, R., Wegener, M., Gräfe, J., Mühlhans, H., Rindsfüser, G., & Beckmann, K.-J. (2005). Linking transport and land use planning: The microscopic dynamic simulation model ILUMASS. In P. M. Atkinson, G. M. Foody, S. E. Darby, & F. Wu (eds.), Geodynamics (pp 295–311). Boca Raton, Florida: CRC Press.
Timmermans, H. (2003). The saga of integrated land use-transport modeling: How many more dreams before we wake up? Conference keynote paper, 10th International Conference on Travel Behavior Research, Lucerne, Switzerland.
Waddell, P., Sevcikova, H., Socha, D., Miller, E. J., & Nagel, K. (2005). Opus: An international collaboration to develop an open platform for urban simulation. Presented at the CUPUM Conference, London, June 29–July 1.
Wang, G., & Kockelman, K. (2016). Methods for uncertainty propagation in transportation and land use models. Forthcoming in Journal of the Transportation Research Forum.
Webster, F. V., Bly, P. H., Paulley, N. J., & Brotchie, J. F. (1988). Urban land-use and transport interaction: Policies and models, report of the International Study Group on Land-Use/Transport Interaction (ISGLUTI). Farnham, England: Aldershot.
Wegener, M. (1995). Current and future land-use models. In G.A. Shunk, P. L. Bass, C. A. Weatherby, and L. J. Engelke (eds.), Travel Model Improvement Program Land-Use Modeling Conference Proceedings, 13–40. Washington, DC: Travel Model Improvement Program.
Wegener, M. (2011). The IRPUD model, working paper 11/01. Dortmund, Germany: Spiekermann and Wegener Urban and Regional Research.
Weidner, T., Abraham, J. E., Donnelly, R., Hunt, J. D., & Freedman, J. (2007-January). A summary of the Oregon TLUMIP model microsimulation modules. Presented at the 2007 Annual Meeting of the Transportation Research Board, Washington, DC.
Yin, M., Sheehan, M., Feygin, S., Paiement, J.-F., & Pozdnoukhov, A. (2017). A generative model of urban activities from cellular data. IEEE Early Access Articles, 1–15
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