IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-01706911.html
   My bibliography  Save this paper

Spatial Heterogeneity of Sustainable Transportation Offer Values: A Comparative Analysis of Nantes Urban and Periurban/Rural Areas (France)

Author

Listed:
  • 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

    (LADYSS - Laboratoire Dynamiques Sociales et Recomposition des Espaces - UP1 - Université Paris 1 Panthéon-Sorbonne - UP8 - Université Paris 8 Vincennes-Saint-Denis - UPN - Université Paris Nanterre - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique)

  • Rémy Le Boennec

    (Institut VEDECOM, LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

Abstract

Innovative solutions have been implemented to promote sustainable mobility in urban areas. In the Nantes area (northwestern part of France), alternatives to single-occupant car use have increased in the past few years. In the urban area, there is an efficient public transport supply, including tramways and a " busway " (Bus Rapid Transit), as well as bike-sharing services. In periurban and rural areas, there are carpool areas, regional buses and the new " tram-train " lines. In this article, we focus on the impact on house prices of these " sustainable " transportation infrastructures and policies, in order to evaluate their values. The implicit price of these sustainable transport offers was estimated through hedonic price functions describing the Nantes urban and periurban/rural housing markets. Spatial regression models (SAR, SEM, SDM and GWR) were carried out to capture the effect of both spatial autocorrelation and spatial heterogeneity. The results show patterns of spatial heterogeneity of transportation offer implicit prices at two scales: (i) between urban and periurban/rural areas, as well as (ii) within each territory. In the urban area, the distance to such offers was significantly associated with house prices. These associations varied by type of transportation system (positive for tramway and railway stations and negative for bike-sharing stations). In periurban and rural areas, having a carpool area in a 1500-m buffer around the home was negatively associated with house prices, while having a regional bus station in a 500-m buffer was non-significant. Distance to the nearest railway station was negatively associated with house prices. These findings provide research avenues to help public policy-makers promote sustainable mobility and pave the way for more locally targeted interventions.

Suggested Citation

  • 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.
    • Handle: RePEc:hal:journl:halshs-01706911
    DOI: 10.3390/urbansci2010014
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01706911
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-01706911/document
    Download Restriction: no
    File URL: https://libkey.io/10.3390/urbansci2010014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Cheshire, Paul & Sheppard, Stephen, 2002. "The welfare economics of land use planning," Journal of Urban Economics, Elsevier, vol. 52(2), pages 242-269, September.
    2. El-Geneidy, Ahmed & van Lierop, Dea & Wasfi, Rania, 2016. "Do people value bicycle sharing? A multilevel longitudinal analysis capturing the impact of bicycle sharing on residential sales in Montreal, Canada," Transport Policy, Elsevier, vol. 51(C), pages 174-181.
    3. Florax, Raymond J. G. M. & Folmer, Hendrik & Rey, Sergio J., 2003. "Specification searches in spatial econometrics: the relevance of Hendry's methodology," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 557-579, September.
    4. Welch, Timothy F. & Gehrke, Steven R. & Wang, Fangru, 2016. "Long-term impact of network access to bike facilities and public transit stations on housing sales prices in Portland, Oregon," Journal of Transport Geography, Elsevier, vol. 54(C), pages 264-272.
    5. Wagner, Gary A. & Komarek, Timothy & Martin, Julia, 2017. "Is the light rail “Tide” lifting property values? Evidence from Hampton Roads, VA," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 25-37.
    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. 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.
    8. Hubert Jayet, 2001. "Econométrie et données spatiales - Une introduction à la pratique," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 58, pages 105-129.
    9. James P. Lesage, 2008. "An Introduction to Spatial Econometrics," Revue d'économie industrielle, De Boeck Université, vol. 0(3), pages 19-44.
    10. Shanjun Li & Jun Yang & Ping Qin & Shun Chonabayashi, 2016. "Wheels Of Fortune: Subway Expansion And Property Values In Beijing," Journal of Regional Science, Wiley Blackwell, vol. 56(5), pages 792-813, November.
    11. Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
    12. 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..
    13. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    14. Boucq, Elise & Papon, Francis, 2008. "Assessment of the real estate benefits due to accessibility gains brought by a transport project: the impacts of a light rail infrastructure improvement in the Hauts-de-Seine department," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 40, pages 51-68.
    15. Bae, Chang-Hee Christine & Jun, Myung-Jin & Park, Hyeon, 2003. "The impact of Seoul's subway Line 5 on residential property values," Transport Policy, Elsevier, vol. 10(2), pages 85-94, April.
    16. Daniel Baldwin Hess & Tangerine Maria Almeida, 2007. "Impact of Proximity to Light Rail Rapid Transit on Station-area Property Values in Buffalo, New York," Urban Studies, Urban Studies Journal Limited, vol. 44(5-6), pages 1041-1068, May.
    17. Le Boennec, Rémy & Salladarré, Frédéric, 2017. "The impact of air pollution and noise on the real estate market. The case of the 2013 European Green Capital: Nantes, France," Ecological Economics, Elsevier, vol. 138(C), pages 82-89.
    18. 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.
    19. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    20. 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.
    21. Timothy Komarek & Julia Martin & Gary A. Wagner, 2016. "Is the Light Rail “Tide” Lifting Property Values? Evidence from Hampton Roads, Virginia," Working Papers (Old Series) 1626, Federal Reserve Bank of Cleveland.
    22. Bartik, Timothy J, 1987. "The Estimation of Demand Parameters in Hedonic Price Models," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 81-88, February.
    23. Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.
    24. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    25. 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.
    26. Billings, Stephen B., 2011. "Estimating the value of a new transit option," Regional Science and Urban Economics, Elsevier, vol. 41(6), pages 525-536.
    27. Jeffrey P. Cohen & Catherine Morrison Paul, 2007. "The Impacts Of Transportation Infrastructure On Property Values: A Higher‐Order Spatial Econometrics Approach," Journal of Regional Science, Wiley Blackwell, vol. 47(3), pages 457-478, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 163-186, August.
    2. Loïc Lévi & Jean Jacques Nowak & Sylvain Petit & Hakim Hammadou, 2022. "Industrial legacy and hotel pricing: An application of spatial hedonic pricing analysis in Nord-Pas-de-Calais, France," Tourism Economics, , vol. 28(4), pages 870-898, June.
    3. Le Boennec, Rémy & Nicolaï, Isabelle & Da Costa, Pascal, 2019. "Assessing 50 innovative mobility offers in low-density areas: A French application using a two-step decision-aid method," Transport Policy, Elsevier, vol. 83(C), pages 13-25.
    4. Joseph Hiebert & Karen Allen, 2019. "Valuing Environmental Amenities across Space: A Geographically Weighted Regression of Housing Preferences in Greenville County, SC," Land, MDPI, vol. 8(10), pages 1-16, October.
    5. Fabio Antonialli & Sylvie Mira-Bonnardel & Julie Bulteau, 2021. "Economic Assessment of Services with Intelligent Autonomous Vehicles: EASI-AV," Post-Print hal-04369852, HAL.
    6. Marta Sylla & Tadeusz Lasota & Szymon Szewrański, 2019. "Valuing Environmental Amenities in Peri-Urban Areas: Evidence from Poland," Sustainability, MDPI, vol. 11(3), pages 1-15, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amarin Siripanich & Taha Hossein Rashidi & Emily Moylan, 2019. "Interaction of Public Transport Accessibility and Residential Property Values Using Smart Card Data," Sustainability, MDPI, vol. 11(9), pages 1-24, May.
    2. Paliska, Dejan & Drobne, Samo, 2020. "Impact of new motorway on housing prices in rural North-East Slovenia," Journal of Transport Geography, Elsevier, vol. 88(C).
    3. Sangwan Lee, 2022. "An In-Depth Understanding of the Residential Property Value Premium of a Bikesharing Service in Portland, Oregon," Land, MDPI, vol. 11(9), pages 1-16, August.
    4. Pilgram, Clemens A. & West, Sarah E., 2018. "Fading premiums: The effect of light rail on residential property values in Minneapolis, Minnesota," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 1-10.
    5. 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," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 163-186, August.
    6. Ke, Yue & Gkritza, Konstantina, 2019. "Light rail transit and housing markets in Charlotte-Mecklenburg County, North Carolina: Announcement and operations effects using quasi-experimental methods," Journal of Transport Geography, Elsevier, vol. 76(C), pages 212-220.
    7. Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
    8. Haizhen Wen & Zaiyuan Gui & Chuanhao Tian & Yue Xiao & Li Fang, 2018. "Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China," Sustainability, MDPI, vol. 10(7), pages 1-23, June.
    9. Dubé, Jean & Legros, Diègo & Devaux, Nicolas, 2018. "From bus to tramway: Is there an economic impact of substituting a rapid mass transit system? An empirical investigation accounting for anticipation effect," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 73-87.
    10. 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.
    11. Chun-Chang Lee & Chi-Ming Liang & Hui-Chuan Hong, 2020. "The Impact of a Mass Rapid Transit System on Neighborhood Housing Prices: An Application of Difference-In-Difference and Spatial Econometrics," Real Estate Management and Valuation, Sciendo, vol. 28(1), pages 28-40, March.
    12. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    13. 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.
    14. Welch, Timothy F. & Gehrke, Steven R. & Wang, Fangru, 2016. "Long-term impact of network access to bike facilities and public transit stations on housing sales prices in Portland, Oregon," Journal of Transport Geography, Elsevier, vol. 54(C), pages 264-272.
    15. Shengxiao Li & Luoye Chen & Pengjun Zhao, 2019. "The impact of metro services on housing prices: a case study from Beijing," Transportation, Springer, vol. 46(4), pages 1291-1317, August.
    16. Rémy Le Boennec & Florent Sari, 2015. "Nouvelles centralités, choix modal et politiques de déplacements : le cas nantais," Post-Print hal-01657128, HAL.
    17. John Murray & Eleni Bardaka, 2022. "Evaluating the spatial and temporal distribution of beltway effects on housing prices using difference-in-differences methods," Transportation, Springer, vol. 49(6), pages 1963-1998, December.
    18. Comber, Sam & Arribas-Bel, Dani, 2017. "“Waiting on the train”: The anticipatory (causal) effects of Crossrail in Ealing," Journal of Transport Geography, Elsevier, vol. 64(C), pages 13-22.
    19. Higgins, Christopher D. & Adams, Matthew D. & Réquia, Weeberb J. & Mohamed, Moataz, 2019. "Accessibility, air pollution, and congestion: Capturing spatial trade-offs from agglomeration in the property market," Land Use Policy, Elsevier, vol. 84(C), pages 177-191.
    20. Qiu, Feng & Tong, Qingmeng, 2021. "A spatial difference-in-differences approach to evaluate the impact of light rail transit on property values," Economic Modelling, Elsevier, vol. 99(C).

    More about this item

    Keywords

    spatial dependence; hedonic pricing method; geographically weighted regression; spatial heterogeneity; transport accessibility; sustainable mobility;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-01706911. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.