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The role of commuter rail accessibility in the formation of residential land values: exploring spatial heterogeneity in peri-urban and remote areas

Author

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  • Rémy Le Boennec

    (CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique)

  • Julie Bulteau

    (CEARC - Cultures, Environnements, Arctique, Représentations, Climat - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines - CNRS - Centre National de la Recherche Scientifique)

  • Thierry Feuillet

Abstract

As an alternative to private car, rail accessibility is part of environmental policies. The effects of light or heavy rail have been widely covered by the literature in urban areas. High-speed rail accessibility has been extensively studied at national or regional scales as well. In-between, only few studies have considered commuter rail accessibility at the scale of metropolitan areas. However, more and more households in Europe have been settling in peri-urban or remote areas around large conurbations, driven by the significant increase in residential land values since 2000. In this article, we aimed to uncover, through hedonic pricing, the effect of commuter rail accessibility in the formation of residential land values in the Loire-Atlantique Département in France (around the conurbation of Nantes Métropole). We used at first an ordinary least square model (OLS). Since nonlinear relationship between proximity to public transport and land values is commonly assumed, we previously applied a generalized additive model (GAM) that revealed threshold effects. To explore spatial heterogeneity in the relationship between commuter rail accessibility and residential land values, we used subsequently a multiscale geographically weighted regression model (MGWR). We found sound evidence of commuter rail accessibility effect in two specific areas: in the peri-urban area of Nantes Métropole, North of the conurbation, and in a remote area, in the Western part of the Département. The emphasis of commuter rail accessibility should help decision-makers to convert rail stations into multimodal exchange poles to contain the modal share of private car in peri-urban and remote areas.
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Suggested Citation

  • Rémy Le Boennec & Julie Bulteau & Thierry Feuillet, 2022. "The role of commuter rail accessibility in the formation of residential land values: exploring spatial heterogeneity in peri-urban and remote areas," Post-Print hal-04362159, HAL.
  • Handle: RePEc:hal:journl:hal-04362159
    DOI: 10.1007/s00168-022-01113-1
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    as
    1. Jean-Sauveur Ay & Jean Cavailhès & Mohamed Hilal & Julie Le Gallo, 2018. "Does issuing building permits reduce the cost of land? An estimation based on the demand for building land in France," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 500-501-5, pages 45-67.
    2. José Francisco Perles Ribes & Luis Moreno Izquierdo & Ana Ramón Rodríguez & María Jesús Such Devesa, 2018. "The Rental Prices of the Apartments under the New Tourist Environment: A Hedonic Price Model Applied to the Spanish Sun-and-Beach Destinations," Economies, MDPI, vol. 6(2), pages 1-9, April.
    3. Dziauddin, Mohd Faris, 2019. "Estimating land value uplift around light rail transit stations in Greater Kuala Lumpur: An empirical study based on geographically weighted regression (GWR)," Research in Transportation Economics, Elsevier, vol. 74(C), pages 10-20.
    4. Fujita,Masahisa, 1991. "Urban Economic Theory," Cambridge Books, Cambridge University Press, number 9780521396455.
    5. Qianyao Li & Junwu Wang & Judith Callanan & Binbin Lu & Zeng Guo, 2021. "The spatial varying relationship between services of the train network and residential property values in Melbourne, Australia," Urban Studies, Urban Studies Journal Limited, vol. 58(2), pages 335-354, February.
    6. Mulley, Corinne & Ma, Liang & Clifton, Geoffrey & Yen, Barbara & Burke, Matthew, 2016. "Residential property value impacts of proximity to transport infrastructure: An investigation of bus rapid transit and heavy rail networks in Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 54(C), pages 41-52.
    7. Erik Verhoef, 1996. "The Economics of Regulating Road Transport," Books, Edward Elgar Publishing, number 939.
    8. Wang, Songtao & Yang, Zan & Liu, Hongyu, 2011. "Impact of urban economic openness on real estate prices: Evidence from thirty-five cities in China," China Economic Review, Elsevier, vol. 22(1), pages 42-54, March.
    9. Davis, Morris A. & Palumbo, Michael G., 2008. "The price of residential land in large US cities," Journal of Urban Economics, Elsevier, vol. 63(1), pages 352-384, January.
    10. Chen, Zhenhua & Haynes, Kingsley E., 2015. "Impact of high speed rail on housing values: an observation from the Beijing–Shanghai line," Journal of Transport Geography, Elsevier, vol. 43(C), pages 91-100.
    11. Dorothée Brécard & Rémy Le Boennec & Frédéric Salladarré, 2018. "Accessibility, local pollution and housing prices. Evidence from Nantes Métropole, France," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 500-501-5, pages 97-115.
    12. He, Sylvia Y., 2020. "Regional impact of rail network accessibility on residential property price: Modelling spatial heterogeneous capitalisation effects in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 244-263.
    13. Cho, Seong-Hoon & Bowker, James Michael & Park, William M., 2006. "Measuring the Contribution of Water and Green Space Amenities to Housing Values: An Application and Comparison of Spatially Weighted Hedonic Models," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(3), pages 1-23, December.
    14. Stéphane Virol & Frédéric Gaschet & Jeanne Dachary-Bernard & Guillaume Pouyanne, 2011. "L'impact de la littoralisation sur les marchés fonciers. Une approche comparative des côtes Basques et Charentaise," Post-Print hal-00645776, HAL.
    15. Oshan, Taylor M. & Smith, Jordan & Fotheringham, Alexander Stewart, 2020. "Targeting the spatial context of obesity determinants via multiscale geographically weighted regression," OSF Preprints u7j29, Center for Open Science.
    16. Stéphane Virol & Guillaume Pouyanne & Sandrine Lyser & Frédéric Gaschet & Jeanne Dachary-Bernard, 2011. "L’impact de la littoralisation sur les marchés fonciers. Une approche comparative des côtes basque et charentaise," Économie et Statistique, Programme National Persée, vol. 444(1), pages 127-154.
    17. Brueckner, Jan K., 2011. "Lectures on Urban Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262016362, April.
    18. François Bonnieux & Gildas Appéré & Abdelhak Nassiri & Muriel Travers, 2008. "Évaluation des bénéfices environnementaux par la méthode des prix hédonistes : une application au cas du littoral," Économie et Prévision, Programme National Persée, vol. 185(4), pages 47-62.
    19. Kanemoto, Yoshitsugu, 1980. "Theories of urban externalities," MPRA Paper 24614, University Library of Munich, Germany.
    20. Rémy Le Boennec & Sterenn Lucas, 2022. "Is neighborhood satisfaction related to density perception? Promoting liveable and sustainable land use planning," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(11), pages 2081-2098, July.
    21. Dubé, Jean & Thériault, Marius & Des Rosiers, François, 2013. "Commuter rail accessibility and house values: The case of the Montreal South Shore, Canada, 1992–2009," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 49-66.
    22. Tideman, Nicolaus & Plassmann, Florenz, 2018. "The effects of changes in land value on the value of buildings," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 69-76.
    23. Kathrine von Graevenitz & Toke Emil Panduro, 2015. "An Alternative to the Standard Spatial Econometric Approaches in Hedonic House Price Models," Land Economics, University of Wisconsin Press, vol. 91(2), pages 386-409.
    24. Bowes, David R. & Ihlanfeldt, Keith R., 2001. "Identifying the Impacts of Rail Transit Stations on Residential Property Values," Journal of Urban Economics, Elsevier, vol. 50(1), pages 1-25, July.
    25. Ghebreegziabiher Debrezion & Eric Pels & Piet Rietveld, 2007. "The Impact of Railway Stations on Residential and Commercial Property Value: A Meta-analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 161-180, August.
    26. Seo, Kihwan & Golub, Aaron & Kuby, Michael, 2014. "Combined impacts of highways and light rail transit on residential property values: a spatial hedonic price model for Phoenix, Arizona," Journal of Transport Geography, Elsevier, vol. 41(C), pages 53-62.
    27. Lu Yu, 2021. "Study on Treatment Effects and Spatial Spillover Effects of Beijing–Shanghai HSR on the cities along the line," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 671-695, December.
    28. Julie Bulteau & Thierry Feuillet & Rémy Le Boennec, 2018. "Spatial Heterogeneity of Sustainable Transportation Offer Values: A Comparative Analysis of Nantes Urban and Periurban/Rural Areas (France)," Post-Print halshs-01706911, HAL.
    29. Julie Bulteau & Thierry Feuillet & Rémy Le Boennec, 2018. "Spatial Heterogeneity of Sustainable Transportation Offer Values: A Comparative Analysis of Nantes Urban and Periurban/Rural Areas (France)," Post-Print halshs-01706911, HAL.
    30. Scheiner, Joachim, 2010. "Interrelations between travel mode choice and trip distance: trends in Germany 1976–2002," Journal of Transport Geography, Elsevier, vol. 18(1), pages 75-84.
    31. Karen Mayor & Seán Lyons & David Duffy & Richard S. J. Tol, 2012. "A Hedonic Analysis of the Value of Rail Transport in the Greater Dublin Area," Journal of Transport Economics and Policy, University of Bath, vol. 46(2), pages 239-261, May.
    32. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    33. Devaux, Nicolas & Dubé, Jean & Apparicio, Philippe, 2017. "Anticipation and post-construction impact of a metro extension on residential values: The case of Laval (Canada), 1995–2013," Journal of Transport Geography, Elsevier, vol. 62(C), pages 8-19.
    34. Elias Oikarinen, 2014. "Is Urban Land Price Adjustment More Sluggish than Housing Price Adjustment? Empirical Evidence," Urban Studies, Urban Studies Journal Limited, vol. 51(8), pages 1686-1706, June.
    35. Birgitta Rabe & Mark Taylor, 2010. "Residential mobility, quality of neighbourhood and life course events," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(3), pages 531-555, July.
    36. Cervero, Robert, 2006. "Effects of Light and Commuter Rail Transit on Land Prices: Experiences in San Diego County," University of California Transportation Center, Working Papers qt75n1b5xc, University of California Transportation Center.
    37. Nicolai V. Kuminoff & Jaren C. Pope, 2013. "The Value of Residential Land and Structures during the Great Housing Boom and Bust," Land Economics, University of Wisconsin Press, vol. 89(1), pages 1-29.
    38. Mohammad, Sara I. & Graham, Daniel J. & Melo, Patricia C. & Anderson, Richard J., 2013. "A meta-analysis of the impact of rail projects on land and property values," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 158-170.
    39. Zhong, Haotian & Li, Wei, 2016. "Rail transit investment and property values: An old tale retold," Transport Policy, Elsevier, vol. 51(C), pages 33-48.
    40. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    41. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods?," University of California Transportation Center, Working Papers qt4nq9r1c9, University of California Transportation Center.
    42. Bulteau, Julie, 2012. "Tradable emission permit system for urban motorists: The neo-classical standard model revisited," Research in Transportation Economics, Elsevier, vol. 36(1), pages 101-109.
    43. Bohman, Helena & Nilsson, Désirée, 2016. "The impact of regional commuter trains on property values: Price segments and income," Journal of Transport Geography, Elsevier, vol. 56(C), pages 102-109.
    44. Gollini, Isabella & Lu, Binbin & Charlton, Martin & Brunsdon, Christopher & Harris, Paul, 2015. "GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i17).
    45. (Ato) Xu, Wangtu & Zhou, Jiangping & Yang, Linchuan & Li, Ling, 2018. "The implications of high-speed rail for Chinese cities: Connectivity and accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 308-326.
    46. Feuillet, T. & Commenges, H. & Menai, M. & Salze, P. & Perchoux, C. & Reuillon, R. & Kesse-Guyot, E. & Enaux, C. & Nazare, J.-A. & Hercberg, S. & Simon, C. & Charreire, H. & Oppert, J.M., 2018. "A massive geographically weighted regression model of walking-environment relationships," Journal of Transport Geography, Elsevier, vol. 68(C), pages 118-129.
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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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