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Towards integrated land use and transportation: A dynamic disequilibrium based microsimulation framework for built space markets

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  • Farooq, Bilal
  • Miller, Eric J.
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    Abstract

    Investigating the factors and processes that influence the spatiotemporal distribution of built space and population in an urban area, plays an extremely important role in our greater understanding of the urban travel behaviour. Existing location of activity centres, especially home and work, strongly influences the short-term individual-level decisions such as mode of transportation, and long-term household-level decisions such as change in job and residential location. Conditions in the built space market also affect households’ and firms’ location and relocation decisions, and hence influence the general travel patterns in an urban area. In this context, this paper addresses a very important, but at the same time, not very widely investigated dimension that plays a key role in the evolution of built space and population distribution: Market. A disequilibrium based microsimulation modelling framework is developed for the built space markets. This framework is then used to operationalize the Greater Toronto and Hamilton Area’s owner-occupied housing market within Integrated Land Use Transportation and Environment (ILUTE) modelling system. Simulation results captured heterogeneity in the transaction prices, due to type of dwellings and different market conditions, in a very disaggregate fashion. The proposed methodology is validated by running the simulation from 1986 to 2006 and comparing the results with the historic data.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 46 (2012)
    Issue (Month): 7 ()
    Pages: 1030-1053

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    Handle: RePEc:eee:transa:v:46:y:2012:i:7:p:1030-1053

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    Related research

    Keywords: Microsimulation; Dynamic; Disequilibrium; Markets; Built-Space;

    References

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    1. Guillermo OWEN, 1992. "The Assignment Game : The Reduced Game," Annales d'Economie et de Statistique, ENSAE, issue 25-26, pages 71-79.
    2. Patrick Bayer & Robert McMillan & Kim Rueben, 2004. "An Equilibrium Model of Sorting in an Urban Housing Market," NBER Working Papers 10865, National Bureau of Economic Research, Inc.
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    6. Takamiya, Koji, 2001. "Coalition strategy-proofness and monotonicity in Shapley-Scarf housing markets," Mathematical Social Sciences, Elsevier, Elsevier, vol. 41(2), pages 201-213, March.
    7. Wako, Jun, 2005. "Coalition-proof Nash allocation in a barter game with multiple indivisible goods," Mathematical Social Sciences, Elsevier, Elsevier, vol. 49(2), pages 179-199, March.
    8. Klaus, Bettina, 2008. "The coordinate-wise core for multiple-type housing markets is second-best incentive compatible," Journal of Mathematical Economics, Elsevier, vol. 44(9-10), pages 919-924, September.
    9. Frejinger, E. & Bierlaire, M. & Ben-Akiva, M., 2009. "Sampling of alternatives for route choice modeling," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 43(10), pages 984-994, December.
    10. Chris Leishman & Glen Bramley, 2005. "A local housing market model with spatial interaction and land-use planning controls," Environment and Planning A, Pion Ltd, London, vol. 37(9), pages 1637-1649, September.
    11. Swait, Joffre & Ben-Akiva, Moshe, 1987. "Incorporating random constraints in discrete models of choice set generation," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 21(2), pages 91-102, April.
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    Cited by:
    1. Zolfaghari, Alireza & Sivakumar, Aruna & Polak, John, 2013. "Simplified probabilistic choice set formation models in a residential location choice context," Journal of choice modelling, Elsevier, Elsevier, vol. 9(C), pages 3-13.

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