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Accessibility and Environmental Quality: Inequality in the Paris Housing Market

Author

Listed:
  • André de Palma

    (University of Cergy-Pontoise and Ecole Nationale de Ponts et Chaussées, France)

  • Kiarash Motamedi

    (University of Cergy-Pontoise, France)

  • Nathalie Picard

    (University of Cergy-Pontoise, France)

  • Paul Waddell

    (University of Washington, USA)

Abstract

In this paper we examine empirically the market for local amenities in the Paris metropolitan region. We find first that there is considerable inequality in the spatial distribution of these local amenities, including accessibility, environmental and social indicators. We use a spatial representation and Lorenz curves to examine the degree of inequality in these amenities, and this provides evidence that some amenities (or disamenities) are much more inequitably distributed than others. The most extremely unequally distributed amenities are noise (due to its concentration near airports), “Redevelopment Areas”, presence of water (lakes and rivers) and forests, and presence of train and subway stations. Some indicators, such as the “Poulit accessibility” measure, were by contrast remarkably constant over the region. We recognize that local amenities should be capitalized into the housing market, and explore the willingness to pay of households for these amenities within the Paris region using alternative specifications of a location choice model. One of the core questions we examine is the spatial scale of the amenity effects and how this is captured in a location choice context. By estimating models at both a commune and at a grid cell level, we obtain new insights into how households in the Paris region trade off amenities against each other and against housing cost. We find that the residential location choice model fits the data moderately better at the smaller scale of the grid cell compared to the commune.

Suggested Citation

  • André de Palma & Kiarash Motamedi & Nathalie Picard & Paul Waddell, 2007. "Accessibility and Environmental Quality: Inequality in the Paris Housing Market," THEMA Working Papers 2007-16, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  • Handle: RePEc:ema:worpap:2007-16
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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.
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    7. 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.
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    Cited by:

    1. 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.
    2. Naqavi, Fatemeh & Sundberg, Marcus & Västberg, Oskar Blom & Karlström, Anders & Hugosson, Muriel Beser, 2023. "Mobility constraints and accessibility to work: Application to Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    3. Camille Dumeignil & Jean-Yves Lesueur & Mareva Sabatier, 2021. "Cross-border labour mobility decisions: The effect of complementarities in local labour markets," Economics Bulletin, AccessEcon, vol. 41(3), pages 1036-1049.
    4. Ortega, Emilio & López, Elena & Monzón, Andrés, 2014. "Territorial cohesion impacts of high-speed rail under different zoning systems," Journal of Transport Geography, Elsevier, vol. 34(C), pages 16-24.
    5. Ignacio A. Inoa & Nathalie Picard & André de Palma, 2013. "Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model," Working Papers hal-00776945, HAL.
    6. Ignacio A. Inoa & Nathalie Picard & Andr� de Palma, 2015. "Effect of an Accessibility Measure in a Model for Choice of Residential Location, Workplace, and Type of Employment," Mathematical Population Studies, Taylor & Francis Journals, vol. 22(1), pages 4-36, March.
    7. 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.
    8. Guillaume POUYANNE (GREThA-GRES), 2008. "Economics of discontinuous urban development (In French)," Cahiers du GRES (2002-2009) 2008-06, Groupement de Recherches Economiques et Sociales.
    9. Camille Dumeignil & Jean-Yves Lesueur & Mareva Sabatier, 2021. "Cross-border labour mobility decisions: The effect of complementarities in local labour markets," Post-Print halshs-03978234, HAL.
    10. Zachary Patterson & Michel Bierlaire, 2010. "Development of Prototype Urbansim Models," Environment and Planning B, , vol. 37(2), pages 344-366, April.
    11. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    12. Nathalie Picard & Constantinos Antoniou, 2014. "Econometric Methods For Land Use Microsimulation," Working Papers hal-01092031, HAL.

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    More about this item

    Keywords

    Inequality; efficiency; local public goods; residential location; integrated model; transportation modelling; Paris area.;
    All these keywords.

    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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