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A model of residential location choice with endogenous housing prices and traffic for the Paris region

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  • de Palma, Andre
  • Motamedi, Kiarash
  • Picard, Nathalie
  • Waddell, Paul

Abstract

There is a growing interest in the development and the use of large-scale planning models. In this paper, we describe the first step of a project to integrate UrbanSim, a dynamic microsimulation land use model, and METROPOLIS, a dynamic traffic model. This is the first attempt, to our knowledge, to integrate a dynamic land use model and a dynamic traffic model. We briefly describe the two models and propose a unified framework for their integration. Within this integrated framework we develop a model of residential location choice, with endogenous housing prices and traffic. The study area for this research is the Ile-de-France (Paris region), for which we provide empirical results.

Suggested Citation

  • de Palma, Andre & Motamedi, Kiarash & Picard, Nathalie & Waddell, Paul, 2005. "A model of residential location choice with endogenous housing prices and traffic for the Paris region," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 31, pages 67-82.
  • Handle: RePEc:sot:journl:y:2005:i:31:p:67-82
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    File URL: http://hdl.handle.net/10077/5884
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    References listed on IDEAS

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    1. de Palma, Andre & Picard, Nathalie & Waddell, Paul, 2007. "Discrete choice models with capacity constraints: An empirical analysis of the housing market of the greater Paris region," Journal of Urban Economics, Elsevier, vol. 62(2), pages 204-230, September.
    2. Richard W. Blundell & Richard J. Smith, 1989. "Estimation in a Class of Simultaneous Equation Limited Dependent Variable Models," Review of Economic Studies, Oxford University Press, vol. 56(1), pages 37-57.
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    1. de Palma, Andre & Picard, Nathalie & Waddell, Paul, 2007. "Discrete choice models with capacity constraints: An empirical analysis of the housing market of the greater Paris region," Journal of Urban Economics, Elsevier, vol. 62(2), pages 204-230, September.
    2. Źróbek-Różańska Alina & Szulc Lucyna, 2018. "Over a Million Student Tenants in Poland. Analysis of Preferences," Real Estate Management and Valuation, Sciendo, vol. 26(2), pages 104-113, June.
    3. Uwe Neumann, 2015. "Ageing by feet? Regional migration, neighbourhood choice and local demographic change in German cities," ERSA conference papers ersa15p518, European Regional Science Association.
    4. Ioannis Baraklianos & Louafi Bouzouina & Patrick Bonnel & Hind Aissaoui, 2020. "Does the accessibility measure influence the results of residential location choice modelling?," Transportation, Springer, vol. 47(3), pages 1147-1176, June.
    5. De Palma, Andre & Motamedi, Kiarash & Picard, Nathalie & Waddell, Paul, 2007. "Accessibility and environmental quality: inequality in the Paris housing market," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 36, pages 47-74.
    6. Bouzouina, Louafi & Baraklianos, Ioannis & Bonnel, Patrick & Aissaoui, Hind, 2021. "Renters vs owners: The impact of accessibility on residential location choice. Evidence from Lyon urban area, France (1999–2013)," Transport Policy, Elsevier, vol. 109(C), pages 72-84.
    7. Nathalie Picard & Constantinos Antoniou, 2014. "Econometric Methods For Land Use Microsimulation," Working Papers hal-01092031, HAL.
    8. André de Palma & Alexandre Guimard, 2014. "Urbanism, an overview," Working Papers hal-00969574, HAL.
    9. de Palma, Andre & Marcucci, Edoardo & Niskanen, Esko & Wieland, Bernhard, 2005. "Introduction," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 31, pages 1-5.
    10. Marko Kryvobokov & Aurélie Mercier & Alain Bonnafous & Dominique Bouf, 2013. "Simulating housing prices with UrbanSim: predictive capacity and sensitivity analysis," Letters in Spatial and Resource Sciences, Springer, vol. 6(1), pages 31-44, March.
    11. Pinjari, Abdul Rawoof & Bhat, Chandra R. & Hensher, David A., 2009. "Residential self-selection effects in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 729-748, August.
    12. Asmae AQZZOUZ & Nathalie PICARD, 2023. "Residential Mobility And Life Cycle: Identifying The Role Of Local Taxes," Working Papers of BETA 2023-43, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    13. Ioannis BARAKLIANOS & Louafi BOUZOUINA & Patrick BONNEL, 2018. "The impact of accessibility on the location choices of the business services. Evidence from Lyon urban area," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 48, pages 85-104.
    14. Rezaei, Ali & Patterson, Zachary, 2018. "Preference stability in household location choice: Using cross-sectional data from three censuses," Research in Transportation Economics, Elsevier, vol. 67(C), pages 44-53.
    15. Nathalie Picard & Constantinos Antoniou, 2011. "Econometric guidance for developing UrbanSim models. First lessons from the SustainCity project," ERSA conference papers ersa11p1494, European Regional Science Association.
    16. Gelauff, George & Ossokina, Ioulia & Teulings, Coen, 2019. "Spatial and welfare effects of automated driving: Will cities grow, decline or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 277-294.
    17. Coppola, Pierluigi & Nuzzolo, Agostino, 2011. "Changing accessibility, dwelling price and the spatial distribution of socio-economic activities," Research in Transportation Economics, Elsevier, vol. 31(1), pages 63-71.
    18. Choudhury, Charisma F. & Ayaz, Sayeeda Bint, 2015. "Why live far? — Insights from modeling residential location choice in Bangladesh," Journal of Transport Geography, Elsevier, vol. 48(C), pages 1-9.
    19. Wang, Lisha & Miwa, Tomio & Jiang, Meilan & Morikawa, Takayuki, 2021. "Heterogeneous residential distribution changes and spillover effects by railway projects: The case study of Nagoya, Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 145-163.
    20. Kiarash Motamedi & Nathalie Picard & André de Palma, 2013. "Employment and Business Evolution and Location Choice in Paris Area Firmographics approach," THEMA Working Papers 2013-28, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    21. Źróbek-Różańska Alina, 2016. "Compensation in Residential Real Estate Purchasers’ Decisions," Real Estate Management and Valuation, Sciendo, vol. 24(4), pages 70-78, December.
    22. Sophie Dantan & Nathalie Picard, 2019. "Borrowing constraints and location choice - Evidence from the Paris Region," THEMA Working Papers 2019-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    23. Zachary Patterson & Michel Bierlaire, 2010. "Development of Prototype Urbansim Models," Environment and Planning B, , vol. 37(2), pages 344-366, April.
    24. Lefèvre, Benoit, 2009. "Long-term energy consumptions of urban transportation: A prospective simulation of "transport-land uses" policies in Bangalore," Energy Policy, Elsevier, vol. 37(3), pages 940-953, March.
    25. Schirmer, Patrick & van Eggermond, Michael & Axhausen, Kay, 2014. "The role of location in residential location choice models: a review of literature," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 3-21.

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