IDEAS home Printed from https://ideas.repec.org/a/spr/anresc/v51y2013i2p355-375.html
   My bibliography  Save this article

Understanding the impact of trails on residential property values in the presence of spatial dependence

Author

Listed:
  • Olivier Parent
  • Rainer Hofe

Abstract

This paper examines the impacts of a multi-purpose trail on residential property values in a hedonic model. Using a large housing data set in combination with street network distances, we show that proximity to trail entrances positively effects property values. Among other things, our study compares the hedonic model results from three different spatial specifications. We pay specific attention to the direct and indirect effects on residential property prices associated with potential changes in house characteristics. In addition, our study predicts property values around trail entrances using a ‘modified spatial predictive process’ approach that is well suited for capturing spatial dependence in large data sets. Copyright Springer-Verlag Berlin Heidelberg 2013

Suggested Citation

  • Olivier Parent & Rainer Hofe, 2013. "Understanding the impact of trails on residential property values in the presence of spatial dependence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(2), pages 355-375, October.
    • Handle: RePEc:spr:anresc:v:51:y:2013:i:2:p:355-375
    DOI: 10.1007/s00168-012-0543-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00168-012-0543-z
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00168-012-0543-z?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. James P. LeSage & R. Kelley Pace, 2004. "Models for Spatially Dependent Missing Data," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 233-254, September.
    2. Cotteleer, Geerte & van Kooten, G. Cornelis, 2012. "Expert opinion versus actual transaction evidence in the valuation of non-market amenities," Economic Modelling, Elsevier, vol. 29(1), pages 32-40.
    3. Allen Lynch & David Rasmussen, 2001. "Measuring the impact of crime on house prices," Applied Economics, Taylor & Francis Journals, vol. 33(15), pages 1981-1989.
    4. Sudipto Banerjee & Alan E. Gelfand & Andrew O. Finley & Huiyan Sang, 2008. "Gaussian predictive process models for large spatial data sets," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(4), pages 825-848, September.
    5. Clapp, John M. & Nanda, Anupam & Ross, Stephen L., 2008. "Which school attributes matter? The influence of school district performance and demographic composition on property values," Journal of Urban Economics, Elsevier, vol. 63(2), pages 451-466, March.
    6. Kiel, Katherine & Zabel, Jeffrey, 2001. "Estimating the Economic Benefits of Cleaning Up Superfund Sites: The Case of Woburn, Massachusetts," The Journal of Real Estate Finance and Economics, Springer, vol. 22(2-3), pages 163-184, March-May.
    7. repec:bla:econom:v:62:y:1995:i:246:p:247-67 is not listed on IDEAS
    8. Alan E. Gelfand & Mark D. Ecker & John R. Knight & C. F. Sirmans, 2004. "The Dynamics of Location in Home Price," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 149-166, September.
    9. Finley, Andrew O. & Sang, Huiyan & Banerjee, Sudipto & Gelfand, Alan E., 2009. "Improving the performance of predictive process modeling for large datasets," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2873-2884, June.
    10. David M. Brasington, 1999. "Which Measures of School Quality Does the Housing Market Value?," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 395-414.
    11. James Valente & ShanShan Wu & Alan Gelfand & C.F. Sirmans, 2005. "Apartment Rent Prediction Using Spatial Modeling," Journal of Real Estate Research, American Real Estate Society, vol. 27(1), pages 105-136.
    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(2), pages 132-132.
    14. Brian J. L. Berry & Robert S. Bednarz, 1975. "A Hedonic Model of Prices and Assessments for Single-Family Homes: Does the Assessor Follow the Market or the Market Follow the Assessor?," Land Economics, University of Wisconsin Press, vol. 51(1), pages 21-40.
    15. Paul Mogush & Kevin Krizek & David Levinson, 2005. "Value of Trail Access on Home Purchases," Working Papers 000011, University of Minnesota: Nexus Research Group.
    16. Paul Asabere & Forrest Huffman, 2009. "The Relative Impacts of Trails and Greenbelts on Home Price," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 408-419, May.
    17. Anderson, Soren T. & West, Sarah E., 2006. "Open space, residential property values, and spatial context," Regional Science and Urban Economics, Elsevier, vol. 36(6), pages 773-789, November.
    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. Wei Li & Kenneth Joh, 2017. "Exploring the synergistic economic benefit of enhancing neighbourhood bikeability and public transit accessibility based on real estate sale transactions," Urban Studies, Urban Studies Journal Limited, vol. 54(15), pages 3480-3499, November.
    2. 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.
    3. Lindsey Conrow & Siân Mooney & Elizabeth A Wentz, 2021. "The association between residential housing prices, bicycle infrastructure and ridership volumes," Urban Studies, Urban Studies Journal Limited, vol. 58(4), pages 787-808, March.
    4. vom Hofe, Rainer & Mihaescu, Oana & Boorn, Mary Lynne, 2017. "Are Homeowners Willing to Pay More for Access to Parks? Evidence from a Spatial Hedonic Study of the Cincinnati, Ohio, USA Park System," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 48(3), November.
    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. Matthew Gnagey & Therese Grijalva, 2018. "The impact of trails on property values: a spatial analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 73-97, January.
    7. David M. Brasington, 2023. "The effect of open space maintenance spending on house prices," Journal of Regional Science, Wiley Blackwell, vol. 63(5), pages 1053-1072, November.

    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. vom Hofe, Rainer & Mihaescu, Oana & Boorn, Mary Lynne, 2017. "Do urban parks really benefit homeowners economically? Evidence from a spatial hedonic study of the Cincinnati park system," HUI Working Papers 122, HUI Research.
    2. Mihaescu, Oana & vom Hofe, Rainer, 2013. "The Impact of Brownfields on Residential Property Values in Cincinnati, Ohio: A Spatial Hedonic Approach," HUI Working Papers 85, HUI Research.
    3. Stefania Tonin & Margherita Turvani, 2011. "Environmental contamination and industrial real estate market: an application of hedonic price method in Italy," ERSA conference papers ersa10p511, European Regional Science Association.
    4. Nguyen-Hoang, Phuong & Yinger, John, 2011. "The capitalization of school quality into house values: A review," Journal of Housing Economics, Elsevier, vol. 20(1), pages 30-48, March.
    5. Ilir Nase & Jim Berry & Alastair Adair, 2016. "Impact of quality-led design on real estate value: a spatiotemporal analysis of city centre apartments," Journal of Property Research, Taylor & Francis Journals, vol. 33(4), pages 309-331, October.
    6. Mai, Nhat Chi, 2018. "도이모이 이후 베트남의 주거 이동, 선택, 가격 결정요인 연구: 호치민시 사례 중심으로," OSF Preprints 6kdfy, Center for Open Science.
    7. Paolo Buonanno & Daniel Montolio & Josep Raya-Vílchez, 2013. "Housing prices and crime perception," Empirical Economics, Springer, vol. 45(1), pages 305-321, August.
    8. Eilers, Lea, 2016. "Spatial Dependence in Apartment Offering Prices in Hamburg," VfS Annual Conference 2016 (Augsburg): Demographic Change 145639, Verein für Socialpolitik / German Economic Association.
    9. Stadelmann, David, 2010. "Which factors capitalize into house prices? A Bayesian averaging approach," Journal of Housing Economics, Elsevier, vol. 19(3), pages 180-204, September.
    10. Patrick J. Walsh & J. Walter Milon & David O. Scrogin, 2011. "The Spatial Extent of Water Quality Benefits in Urban Housing Markets," Land Economics, University of Wisconsin Press, vol. 87(4), pages 628-644.
    11. Yadavalli, Anita P. & Florax, Raymond J.G.M., 2013. "The Effect of School Quality on House Prices: A Meta-Regression Analysis," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151291, Agricultural and Applied Economics Association.
    12. Zygmunt, Robert & Gluszak, Michal, 2015. "Forest proximity impact on undeveloped land values: A spatial hedonic study," Forest Policy and Economics, Elsevier, vol. 50(C), pages 82-89.
    13. Wei Li & Kenneth Joh, 2017. "Exploring the synergistic economic benefit of enhancing neighbourhood bikeability and public transit accessibility based on real estate sale transactions," Urban Studies, Urban Studies Journal Limited, vol. 54(15), pages 3480-3499, November.
    14. Ida Ferrara & Stephen McComb & Paul Missios, 2007. "Local Willingness-to-Pay Estimates for the Remediation of the Sydney Tar Ponds in Nova Scotia," Canadian Public Policy, University of Toronto Press, vol. 33(4), pages 441-458, December.
    15. Contreras, Víctor & Garay, Urbi & Santos, Miguel Angel & Betancourt, Cosme, 2014. "Expropriation risk and housing prices: Evidence from an emerging market," Journal of Business Research, Elsevier, vol. 67(5), pages 935-942.
    16. 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.
    17. Jee W. Hwang & Chun Kuang & Okmyung Bin, 2019. "Are all Homeowners Willing to Pay for Better Schools? ─ Evidence from a Finite Mixture Model Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 58(4), pages 638-655, May.
    18. Matthew Gnagey & Therese Grijalva, 2018. "The impact of trails on property values: a spatial analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 73-97, January.
    19. Mai, Nhat Chi, 2018. "Residential Mobility, Housing Choice, and Price Determinants in Transitional Vietnam: The Case of Ho Chi Minh City," OSF Preprints j7wvh, Center for Open Science.
    20. Herath, Shanaka & Maier, Gunther, 2010. "The hedonic price method in real estate and housing market research. A review of the literature," SRE-Discussion Papers 2010/03, WU Vienna University of Economics and Business.

    More about this item

    Keywords

    C11; C21; R21;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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

    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:spr:anresc:v:51:y:2013:i:2:p:355-375. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.