Accessibility, urban form, and property value: A study of Pudong, Shanghai

ChengHe Guan, Richard Peiser

Abstract


The effects of metro system development and urban form on housing prices highly depend on the spatial temporal conditions of the urban neighborhoods. However, scholars have not yet comprehensively examined these interactions at a neighborhood-scale. This study assesses metro access, urban form, and property value at both district- and neighborhood-levels. The study area is in Pudong, Shanghai where metro system development coincides with rapid urban growth. 279 neighborhoods are systematically and randomly selected for the district-level investigation and 31 neighborhoods selected from Pudong for neighborhood-level investigation. The analysis of variance shows that metro access is more positively correlated to property price in Pudong. The Pearson correlation, principle component, and ordinary least square regression analyses find that while accessibility attributes have positive influence on housing prices, neighborhood characteristics also exhibit pronounced impact on property price change over time. This study extends our knowledge on how metro system development interacts with land use efficiency; discusses planning policies corresponding to development stage that produce more sustainable urban form.

Keywords


Accessibility; urban form; property value; metro system; spatial structure; Shanghai

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References


Alonso, W. (1964). Location and land use. Cambridge, MA: Harvard University Press.

Angel, S., Parent, J., Civco, D. L., & Blei, A. M. (2012). Atlas of urban expansion. Choice Reviews Online, 50(3), 397.

Angel, S., & Blei, A. M. (2016). The spatial structure of American cities: The great majority of workplaces are no longer in CBDs, employment sub-centers, or live-work communities. Cities, 51, 21–35.

Boarnet, M. G. (2011). A broader context for land use and travel behavior, and a research agenda. Journal of the American Planning Association, 77(3), 197–213.

Cao, X. (Jason), Mokhtarian, P. L., & Handy, S. L. (2009). The relationship between the built environment and nonwork travel: A case study of Northern California. Transportation Research Part A: Policy and Practice, 43(5), 548–559.

Cervero, R. (1996). Jobs-housing balance revisited: Trends and impacts in the San Francisco Bay Area. Journal of the American Planning Association, 62(4), 492–511.

Corder, G. W., & Foreman, D. I. (2014). Nonparametric statistics: A step-by-step approach. John Hoboken, NJ: Wiley & Sons

Diao, M., & Ferreira, J. (2010). Residential property values and the built environment: Empirical Study in the Boston, Massachusetts, metropolitan area. Transportation Research Record: Journal of the Transportation Research Board, 2174, 138–147.

Diao, M. (2015). Selectivity, spatial autocorrelation, and the valuation of transit accessibility. Urban Studies, 52(1), 159–177.

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.

Dong, H. (2017). Rail-transit-induced gentrification and the affordability paradox of TOD. Journal of Transport Geography, 63, 1–10.

Ewing, R. and Cervero, R. (2010). Travel and the built environment. Journal of the American Planning Association, 76 (3) 265–29.

Feng, J., Dijst, M., Prillwitz, J., & Wissink, B. (2013, November). Travel time and distance in international perspective: A comparison between Nanjing (China) and the Randstad (The Netherlands). Urban Studies, 50, 2993–3010.

Garreau, J. (1992). Edge city: Life on the new frontier. New York: Anchor Books Inc.

Guan, C., & Rowe, P. G. (2016). The concept of urban intensity and China’s townization policy: Cases from Zhejiang Province. Cities, 55, 22–41.

Guan, C., & Rowe, P. G. (2018). In pursuit of a well-balanced network of cities and towns: A case study of the Changjiang Delta Region in China. Environment and Planning B: Urban Analytics and City Science. doi.org/10.1177/2399808317696073

Guan, C. (2018) Spatial distribution of high-rise buildings and its relationship to public transit development in Shanghai. Transport Policy. In press.

Giuliano, G., & Small, K. A. (1993). Is the journey to work explained by urban structure? Urban Studies. 30 (9), 1485–1500.

Handy, S., Cao, X., & Mokhtarian, P. (2005). Correlation or causality between the built environment and travel behavior? Evidence from Northern California. Transportation Research Part D: Transport and Environment, 10(6), 427–444.

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.

Hu, L., Fan, Y., & Sun, T. (2017). Spatial or socioeconomic inequality? Job accessibility changes for low- and high-education population in Beijing, China. Cities, 66, 23–33.

Hu, L., Sun, T., & Wang, L. (2018). Evolving urban spatial structure and commuting patterns: A case study of Beijing, China. Transportation Research Part D: Transport and Environment, 59, 11–22.

Huang, Y., & Tao, R. (2015). Housing migrants in Chinese cities: Current status and policy design. Environment and Planning C: Government and Policy, 33(3), 640–660.

Jung, S., Huynh, D., & Rowe, P. G. (2013). The pattern of foreign property investment in Vietnam: The apartment market in Ho Chi Minh City. Habitat International, 39, 105–113.

Li, J., Walker, J. L., Srinivasan, S., & Anderson, W. P. (2010). Modeling private car ownership in China: Investigation of urban form impact across megacities. Transportation Research Record: Journal of the Transportation Research Board, 2193, 76–84.

Ma, J., Liu, Z., & Chai, Y. (2015). The impact of urban form on CO2 emission from work and non-work trips: The case of Beijing, China. Habitat International, 47, 1–10.

Montgomery, D. (2001). Design and Analysis of Experiments (5th ed.). New York: Wiley.

Pan, Q. (2013). The impacts of an urban light rail system on residential property values: A case study of the Houston METRORail transit line. Transportation Planning and Technology, 36(2), 145–169.

Pan, H., Shen, Q., & Zhang, M. (2009). Influence of urban form on travel behavior in four neighborhoods of Shanghai. Urban Studies, 46(2), 275–294.

Peng, Z .R. (1997). The jobs-housing balance and urban commuting. Urban Studies. 34 (8), 1215–1235.

Peiser, R. B. (1989). Density and urban sprawl. Land Economics, 65, 193–204.

Petrisor, A., Ianos, I., Iurea, D., & Vaidianu, M. (2012). Applications of principal component analysis integrated with GIS. Procedia Environmental Sciences, 14, 247–256.

Smith, W. (1986). Interactions between transportation and high-rise, high-density living. Ekistics, 53(320/321), 336–344.

Srinivasan, S. (2010). Linking travel behavior and location in Chengdu, China: Geographically weighted approach. Transportation Research Record: Journal of the Transportation Research Board, 2193, 85–95.

Wang, D., & Chai, Y. (2009). The jobs-housing relationship and commuting in Beijing, China: The legacy of Danwei. Journal of Transport Geography, 17(1), 30–38.

Wang, D., Chai, Y., & Li, F. (2011). Built environment diversities and activity-travel behavior variations in Beijing, China. Journal of Transport Geography, 19(6), 1173–1186.

Wang, D., & Zhou, M. (2017). The built environment and travel behavior in urban China: A literature review. Transportation Research Part D: Transport and Environment, 52, 574–585.

Wang, E., Song, J., & Xu, T. (2011). From spatial bond to spatial mismatch: An assessment of changing jobs-housing relationship in Beijing. Habitat International, 35(2), 398–409.

Weitz, J. (2003). Jobs-housing balance. American Planning Association: Planning Advisory Service Report, Chicago.

World Bank (2010). Cities and climate change: An urgent agenda. Urban development series. Washington, DC: The World Bank, International Bank for Reconstruction and Development.

Yang, J. (2010). Spatial and social characteristics of urban transportation in Beijing. Transportation Research Record: Journal of the Transportation Research Board, 2193, 59– 67.

Yang, J., Chen, J., Le, X., & Zhang, Q. (2016). Density-oriented versus development-oriented transit investment: Decoding metro station location selection in Shenzhen. Transport Policy, 51, 93–102.

Yang, J., Shen, Q., Shen, J., & He, C. (2012). Transport impacts of clustered development in Beijing: Compact development versus overconcentration. Urban Studies, 49(6), 1315–1331.

Yang, Z., & Chen, J. (2014). Housing affordability and housing policy in urban China. New York: Springer.

Zhao, P. (2014). The impact of the built environment on bicycle commuting: Evidence from Beijing. Urban Studies, 51(5), 1019–1037.

Zhao, P., Lu, B., & de Roo, G. (2011). Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era. Journal of Transport Geography, 19(1), 59–69.

Zhong, H., & Li, W. (2016). Rail transit investment and property values: An old tale retold. Transport Policy, 51, 33–48.

Zhu, Y., & Diao, M. (2016). The impacts of urban mass rapid transit lines on the density and mobility of high-income households: A case study of Singapore. Transport Policy, 51, 70–80.




DOI: http://dx.doi.org/10.5198/jtlu.2018.1318


Copyright (c) 2018 ChengHe Guan & Richard Peiser