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

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  • 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
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    Cited by:

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    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.

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    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

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