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Econometric guidance for developing UrbanSim models. First lessons from the SustainCity project

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  • Nathalie Picard

    ()

  • Constantinos Antoniou

    ()

Abstract

In the context of the SustainCity project (www.sustaincity.eu), three European cities (Brussels, Paris and Zurich) will be modelled using the land use microsimulation platform UrbanSim. This platform relies on various models interacting with each other, to predict long-term urban development. The aim of this paper is to provide some econometric insight into this process. A common set of notation and assumptions are first defined, and the more common model structures (linear regression, multinomial logit, nested logit, mixed MNL and latent variable models) are described in a consistent way. Special treatments and approaches that are required due to the specific nature of the data in this type of applications (i.e. involving very large number of alternatives, and often exhibiting endogeneity, correlation, and (pseudo-)panel data properties) will also be discussed. For example, importance sampling, spatial econometrics, Geographically Weighted Regression (GWR) and endogeneity issues will be covered. Applications and specific options of the following models: (i) household location choice model, (ii) jobs location/firmography, (iii) real estate price model, and (iv) land development model, will be demonstrated using examples from the on-going case studies in Brussels, Paris and Zurich. Finally, lessons learnt in relation to the econometric models from these on-going case studies will be summarized.

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File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa11/e110830aFinal01494.pdf
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Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa11p1494.

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Date of creation: Sep 2011
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Handle: RePEc:wiw:wiwrsa:ersa11p1494

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  1. David Brasington & D. Hite, . "Demand for Environmental Quality: A Spatial Hedonic Analysis," Departmental Working Papers, Department of Economics, Louisiana State University 2003-02, Department of Economics, Louisiana State University.
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  3. André de Palma & Kiarash Motamedi & Nathalie Picard & Paul Waddell, 2007. "Accessibility and Environmental Quality: Inequality in the Paris Housing Market," THEMA Working Papers, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise 2007-16, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
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  7. GOFETTE-NAGOT, Florence & REGINSTER, Isabelle & THOMAS, Isabelle, . "Spatial analysis of residential land prices in Belgium: accessibility, linguistic border, and environmental amenities," CORE Discussion Papers RP, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) -2448, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  8. 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, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 31, pages 67-82.
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Cited by:
  1. Patrick Schirmer & Christof Zöllig & Kirill Müller & Balz Bodenmann & Kay Axhausen, 2011. "The Zurich case study of UrbanSim," ERSA conference papers, European Regional Science Association ersa11p562, European Regional Science Association.
  2. Balz R. Bodenmann, 2011. "Modelling firm (re-)location choice in UrbanSim," ERSA conference papers, European Regional Science Association ersa11p1091, European Regional Science Association.

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