Subway expansion, job accessibility improvements, and home value appreciation in four global cities: Considering both local and network effects
DOI:
https://doi.org/10.5198/jtlu.2022.2146Abstract
We explore the potential of incorporating accessibility analysis in addressing the impact of subway expansions on the real estate market. We first demonstrate that by using increases in accessibility to jobs as a continuous treatment variable, rather than adopting a binary station dummy approach, we achieve better goodness-of-fit in a quasi-experimental econometric analysis. Furthermore, accessibility measures allow the exploration of impacts beyond the local effects around new subway stations, shedding light on a network impact that has been largely overlooked to date. To increase the external validity of our findings, we apply the same analysis to the cities of Santiago (Chile), Sao Paulo (Brazil), Singapore, and Barcelona (Spain). and then explore the emergent patterns. We argue that the integration of urban economics and transportation analysis via the use of accessibility measures constitutes an innovation in the empirical approach commonly adopted in the literature. The use of such measures in causal empirical studies on transportation impacts can yield more robust and comprehensive results and capture nuanced spatial heterogeneity effects.
References
Baum-Snow, N., & Kahn, M. E. (2000). The effects of new public projects to expand urban rail transit. Journal of Public Economics, 77(2), 241–263.
Benjamin, J. D., & Sirmasn, G. (1996). Mass transportation, apartment rent and property values. Journal of Real Estate Research, 12(1), 1–8.
Billings, S. B. (2011). Estimating the value of a new transit option. Regional Science and Urban Economics, 41(6), 525–536.
Cui, M., & Levinson, D. (2020). Multi-activity access: How activity choice affects opportunity. Transportation Research Part D: Transport and Environment, 85, 102364.
Chun-Chang, L., Chi-Ming, L., & Hui-Chuan, H. (2020). The impact of mass rapid transit system on neighborhood housing prices: An application of difference-in-difference and spatial econometrics. Real Estate Management and Valuation, 28(1), 28–40.
Dewees, D. N. (1976). The effect of a subway on residential property values in Toronto. Journal of Urban Economics, 3(4), 357–369.
Debrezion, G., Pels, E., & Rietveld, P. (2007). The impact of railway stations on residential and commercial property value: A meta-analysis. The Journal of Real Estate Finance and Economics, 35(2), 161–180.
Diao, M., Leonard, D., & Sing, T. F. (2017). Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values. Regional Science and Urban Economics, 67, 64–77.
Du, R., & Zheng, S. (2020). Agglomeration, housing affordability, and new firm formation: The role of subway network. Journal of Housing Economics, 48, 101668.
Fesselmeyer, E., & Liu, H. (2018). How much do users value a network expansion? Evidence from the public transit system in Singapore. Regional Science and Urban Economics, 71, 46–61.
Gibbons, S., & Machin, S. (2005). Valuing rail access using transport innovations. Journal of Urban Economics, 57(1), 148–169.
He, H., Ponce-Lopez, R., Shaw, J., Le, D.-T., Ferreira, J., & Zegras, P. C. (2019). Representing accessibility: Evidence from vehicle ownership choices and property valuations in Singapore. Transportation Research Record, 2673(2), 724–733.
Hansen, W. G. (1959). How accessibility shapes land use. Journal of the American Planning Association, 25(2), 73–76.
Hess, D. B., & Almeida, T. M. (2007). Impact of proximity to light rail rapid transit on station-area property values in Buffalo, New York. Urban Studies, 44(5–6), 1041–1068.
IADB. (2019). Hechos estilizados de transporte urbano en América Latina y el Caribe (IDB-TN-1640, Rep.). Washington, DC: Inter-American Development Bank.
Jing, K., & Liao, W. (2017). The butterfly effect of transport network connectivity and welfare implication. Retrieved from https://ssrn.com/abstract=3089360 or http://dx.doi.org/10.2139/ssrn.3089360
Levinson, D., & King, D. (2020). Transport access manual: A guide for measuring connection between people and places. Sydney: Committee of the Transport Access Manual, University of Sydney.
Lyu, G., Bertolini, L., & Pfeffer, K. (2020). How does transit-oriented development contribute to station area accessibility? A study in Beijing. International Journal of Sustainable Transportation, 14(7), 533–543.
McMillen, D. P., & McDonald, J. (2004). Reaction of house prices to a new rapid transit line: Chicago's Midway Line, 1983–1999. Real Estate Economics, 32, 463–486.
Mohammad, S. I., Graham, D. J., Melo, P. C., & Anderson, R. J. (2013). A meta-analysis of the impact of rail projects on land and property values. Transportation Research Part A: Policy and Practice, 50, 158–170.
Schiff, N. (2015). Cities and product variety: Evidence from restaurants. Journal of Economic Geography, 15(6), 1085–1123.
Trojanek, R., & Gluszak, M. (2018). Spatial and time effect of subway on property prices. Journal of Housing and the Built Environment, 33, 359–384.
United Nations. (2019). World urbanization prospects: The 2018 revision (ST/ESA/SER.A/366). New York: United Nations, Department of Economic and Social Affairs, Population Division.
Wooldridge, J. M. (2013). Introductory econometrics: A modern approach (5th ed., Vols. 120–121). Boston: Cengage Learning.
Zheng, S., Xu, Y., Zhang, X., & Wang, R. (2016). Transit development, consumer amenities and home values: Evidence from Beijing's subway neighborhoods. Journal of Housing Economics, 33, 22–33.
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Copyright (c) 2022 Adriano Borges Costa, Camila Ramos, Siqi Zheng
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