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Tailoring empirical research on transit access premiums for planning applications

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  • Xu, Tao
  • Zhang, Ming

Abstract

Existing studies on transit access premiums focus primarily on hypothesis testing and methodological sophistication. There is a disconnect between the study efforts and the practice of transit-oriented planning and policy making. This paper aims at building this connection through a case study of Wuhan, China. The study applies established conceptual frameworks and analytical procedures in the field to 1) examine the spatial extent of rail transit impacts on housing market; 2) estimate transit access premiums and their spatial distribution in the station area; and 3) simulate revenue streams to illustrate the potential of transit value capture. The empirical results show that in Wuhan the influence area extends to 700m for light rail transit (LRT Line 1), 900–1000m for metro rail (MRT Lines 2 and 4). The distance ranges differ from the conventionally accepted value of 400m and the value of 500–600m currently considered by Wuhan local planning agencies. This empirical knowledge enables transit planners to modify transit catchment areas for the interest of enhancing ridership forecasting and service planning.

Suggested Citation

  • Xu, Tao & Zhang, Ming, 2016. "Tailoring empirical research on transit access premiums for planning applications," Transport Policy, Elsevier, vol. 51(C), pages 49-60.
    • Handle: RePEc:eee:trapol:v:51:y:2016:i:c:p:49-60
    DOI: 10.1016/j.tranpol.2016.03.003
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    Cited by:

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    3. Xu, Tao & Zhang, Ming & Aditjandra, Paulus T., 2016. "The impact of urban rail transit on commercial property value: New evidence from Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 223-235.
    4. AlQuhtani, Saad & Anjomani, Ardeshir, 2019. "Do rail transit stations affect housing value changes? The Dallas Fort-Worth metropolitan area case and implications," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    5. Wang, Yiming & Feng, Suwei & Deng, Zhongwei & Cheng, Shuangyu, 2016. "Transit premium and rent segmentation: A spatial quantile hedonic analysis of Shanghai Metro," Transport Policy, Elsevier, vol. 51(C), pages 61-69.
    6. Li, Jianyi & Huang, Hao, 2020. "Effects of transit-oriented development (TOD) on housing prices: A case study in Wuhan, China," Research in Transportation Economics, Elsevier, vol. 80(C).
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    9. Rennert, Lindiwe, 2022. "A meta-analysis of the impact of rail stations on property values: Applying a transit planning lens," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 165-180.
    10. Zuo Zhang & Xinhai Lu & Min Zhou & Yan Song & Xiang Luo & Bing Kuang, 2019. "Complex Spatial Morphology of Urban Housing Price Based on Digital Elevation Model: A Case Study of Wuhan City, China," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
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    12. Hao Huang & Jianyi Li, 2021. "The spatial variation of moderating effects of density and natural amenities on housing prices in Wuhan, China," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(6), pages 1778-1804, December.

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