Evaluation of the land value-added benefit brought by urban rail transit: The case in Changsha, China
Wenbin Tang
Changsha Univ. of Science and Technology
Qingbin Cui
University of Maryland, College Park
Feilian Zhang
Central South University
Hongyan Yan
Hunan University of Finance and Economics
DOI: https://doi.org/10.5198/jtlu.2021.1645
Keywords: Urban Rail Transit, Land Value-Added, Externalities, Generalized Traffic Cost Model, Spatial Econometrics
Abstract
Accurate evaluation of land value-added benefit brought by urban rail transit (URT) is critical for project investment decision making and value capture strategy development. Early studies have focused on the value impact strength under the assumption of the same impact range for all stations. However, the value impact range at different stations may vary owing to different accessibilities. Therefore, the present study releases this assumption and incorporates the changed impact range into the land value-added analysis. It presents a method to determine the range of land value-added impact and sample selection using the generalized transportation cost model, then spatial econometric models are further developed to estimate the impact strength. On the basis of these models, the entire value-added benefit brought by URT is evaluated. A case study of the Changsha Metro Line 2 in China is discussed to demonstrate the procedure, model, and analysis of spatial impact. The empirical analysis shows a dumbbell-shaped impact on the land value-added benefit along the transit line with a distance-dependent pattern at each station. In addition, the land value-added benefit from Changsha Metro Line 2 reached 12.099 billion USD. Lastly, two main value-added benefit capture modes are discussed, namely, land integration development and special land tax.
References
Atkinson-Palombo, C. (2010). Comparing the capitalization benefits of light-rail transit and overlay zoning for single-family houses and condos by neighborhood type in metropolitan Phoenix, Arizona. Urban Studies, 47(11), 2409–2426.
Cervero R., & Duncan, M. (2002). Transit’s value-added effects: Light and commuter rail services and commercial land value. Transportation Research Record, 1805, 8–15.
Chu, N., Jiang, B., Li, X., & Luo, C. (2016). Generalized transportation costs and land value increment along Harbin-Dalian high-speed railway. Journal of Transportation Systems Engineering and Information Technology, 16(2), 19–24.
Clower, T. L., & Weinstein, B. L. (2002). The impact of Dallas (Texas) area rapid transit light rail stations on taxable property valuations. Australasian Journal of Regional Studies, 8, 389–400.
Cohen, J. P., & Brown, M. (2017). Does a new rail rapid transit line announcement affect various commercial property prices differently? Regional Science and Urban Economics, 66, 74–90.
Du, H., & Mulley, C. (2012). Understanding spatial variations in the impact of accessibility on land value using geographically weighted regression. Journal of Transport and Land Use, 5(2), 46–59.
Gibbons, S., & Machin, S. (2005). Valuing rail access using transport innovations. Journal of Urban Economics, 57, 148–169.
Golub, A., Guhathakurta, S., & Sollapuram, B. (2012). Spatial and temporal capitalization effects of light rail in phoenix from conception, planning, and construction to operation. Journal of Planning Education and Research, 32(4), 415–429.
Gu, Y., & Zheng, S. (2010). The impacts of rail transit on property values and land development intensity: The case of No.13 Line in Beijing. Acta Geographica Sinica, 65(2), 213–223.
Guo W., Zhang, Y., You, J., Hu, J., & Pei, X. (2016). Travel modal choice analysis for traffic corridors based on decision-theoretic approaches. Journal of Center South University, 23, 3028–3039.
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.
Hui, E. C., Ho, V. S., & Ho, D. K. (2004). Land value capture mechanisms in Hong Kong and Singapore: A comparative analysis. Journal of Property Investment & Finance, 22, 76–100.
Ibeas, Á., Cordera, R., Dell’Olio, L., Coppola, P., &. Dominguez, A. (2012). Modelling transport and real-estate values interactions in urban systems. Journal of Transport Geography, 24, 370–382.
Kim, J., & Zhang, M. (2005). Determining transit’s impact on Seoul commercial land values: An application of spatial econometrics. International Real Estate Review, 8(1), 1–26.
Knaap, G., Ding, C., & Hopkins, L. (2001). Do plans matter? The effects of light rail plans on land values in station areas. Journal of Planning Education and Research, 21(1), 32–39.
Litman, T. (2007). Evaluating rail transit benefits: A comment. Transport Policy, 14, 94–97.
Macfarlane, G. S., Garrow, L. A., & Moreno-Cruz, J. (2015). Do Atlanta residents value MARTA? Selecting an autoregressive model to recover willingness to pay. Transportation Research Part A: Policy and Practice, 78, 214–230.
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(3), 463–486.
Mohammad, S., Graham, D., Melo, P., & Anderson, R. (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.
Pan, Q. (2013). The impacts of an urban light rail system on residential property values: A case study of the Houston METRO rail transit line. Transportation Planning and Technology, 36(2), 145–169.
Pagliara, F., & Papa, E. (2011). Urban rail systems investments: An analysis of the impacts on property values and residents’ location. Journal of Transport Geography, 19, 200–211.
Pior, M. Y., & Shimizu, E. (2001). GIS-aided evaluation system for infrastructure improvements: Focusing on simple hedonic and Rosen's two-step approaches. Computers, Environment and Urban Systems, 25(2), 223–246.
Seo, K., Golub, A., & Kuby, M. (2014). Combined impacts of highways and light rail transit on residential property values: A spatial hedonic price model for Phoenix, Arizona. Journal of Transport Geography, 41, 53–62.
Su, Y., & Feng, C. (2011). An analysis on influences to the residential price of real estate brought by urban railway system: A case study of Beijing MTR 4th Line and Batongxian. Urban Development Studies, 18(7), 108–113.
Tang, W., Cui, Q., Zhang, F., & Chen, Y. (2019). Urban rail-transit project investment benefits based on compound real options and trapezoid fuzzy numbers. Journal of Construction Engineering and Management, 145(1), 05018016.
Wang, S., Sui, D., & Hu, B. (2010). Forecasting technology of national-wide civil aviation traffic. Journal of Transportation Systems Engineering and Information Technology, 10(6), 95–102.
Wang, Y., Feng, S., Deng, Z., & Cheng, S. (2016). Transit premium and rent segmentation: A spatial quantile hedonic analysis of Shanghai Metro. Transport Policy, 51, 61–69.
Weinstein, B. L., &. Clower, T. L. (2002). An assessment of the DARTLRT on taxable property valuation and transit oriented development. Denton, TX: Center for Economic Development and Research, University of North Texas.
Wen, H., Zhang, Z., & Zhang, L. (2011). An empirical analysis on spatial effects of the housing price based on spatial econometric models: Evidence from Hangzhou City. Systems Engineering-Theory & Practice, 31(9), 1661–1667.
Xu, T., Zhang, M., & Aditjandra, P. T. (2016). The impact of urban rail transit on commercial property value: New evidence from Wuhan, China. Transportation Research Part A: Policy and Practice, 91, 223–235.
Yan, S., Delmelle, E., & Duncan, M. (2012). The impact of a new light rail system on single-family property values in Charlotte, North Carolina. Journal of Transport and Land Use, 5(2), 60–67.
Yang, J., Quan, J., Yan, B., & He, C. (2016). Urban rail investment and transit-oriented development in Beijing: Can it reach a higher potential. Transportation Research Part A: Policy and Practice, 89, 140–150.
Yang, L., & Shao, C. (2008). Integrated forecasting model for real estate price along urban rail transit based on BP neural network and Markov chain. Journal of Jilin University (Engineering and Technology Edition), 38(3), 514–518.
Zhang, M., & Xu, T. (2017). Uncovering the potential for value capture from rail transit services. Journal of Urban Planning and Development, 143(3), 04017006.
Zhang, M., & Wang, L. (2013). The impacts of mass transit on land development in China: The case of Beijing. Research in Transportation Economics, 40(1), 124–133.
Zhong, H., & Li, W. (2016). Rail transit investment and property values: An old tale retold. Transport Policy, 51, 33–48.