The impacts of light rail on residential property values in a non-zoning city: A new test on the Houston METRORail transit line

Qisheng Pan

doi:10.5198/jtlu.2019.1310

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Published

2019-04-22

Issue

Vol. 12 No. 1 (2019)

Section

Special Section: Rail Transit Development in China and Beyond

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How to Cite

Pan, Q. (2019). The impacts of light rail on residential property values in a non-zoning city: A new test on the Houston METRORail transit line. Journal of Transport and Land Use, 12(1). https://doi.org/10.5198/jtlu.2019.1310

The impacts of light rail on residential property values in a non-zoning city: A new test on the Houston METRORail transit line

Qisheng Pan

Tongji University Texas Southern University

DOI: https://doi.org/10.5198/jtlu.2019.1310

Keywords: Light Rail, Residential Property Values, Zoning, ordinary linear regression, multi-level regression model, METRORail

Abstract

The impacts of rail transit system on residential property values have been examined for many metropolitan areas in the U.S. But there are few studies on the effects of light rail in a non-zoning city. As the rail transit in the largest non-zoning city, Houston’s light rail transit line, or the so-called METRORail, has not received much attention from the planning research society since it opened to the public in 2004. A previous study by the author utilized 2007 household data to analyze the impacts of Houston’s METRORail line and found the net effects of the rail transit line change significantly at different distances from the rail stations. One limitation of that study was that the physical environment and neighborhood characteristics of the station areas may not have had notable changes over a relatively short time span, i.e., three years after the opening of the light rail. This study employs 2010 InfoUSA household data to re-examine the effects of Houston’s METRORail line. Similar to the previous studies, the author adopts a traditional ordinary linear regression (OLS) to investigate the contribution of a set of variables representing the physical, neighborhood, and accessibility characteristics of properties, and also employs a multi-level regression model (MLR) to examine the hierarchical structures of spatial data explicitly. In addition, this study tests the spatial autocorrelation in the modeling process and analyzes its effects on the results. The modeling results suggest that the METRORail line has had significant net positive effects on residential property values. The MLS model captures the difference of these effects with more spatial details. The spatial regression model improves model fit, but spatial autocorrelation is not completely eliminated.

References

Al-Mosaind, M. A., Dueker, K. J., & Strathman, J. G. (1993). Light-rail transit stations and property values: A hedonic price approach, Transportation Research Record, 1400, 90–94.

American Public Transportation Association (APTA). (2011). APTA transit ridership report, first quarter, 2011. Retrieved from http://apta.com/resources/statistics/Documents/Ridership/2011_q1_ridership_APTA.pdf

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.

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

Anas, A., Arnott, R., & Small, K. A. (1998). Urban spatial structure. Journal of Economic Literature, 36(3), 1426–1464.

Anselin, L. (1988). Spatial econometrics: Methods and models. Boston: Kluwer Academic Publishers.

Anselin, L., Syabri, I., & Kho, Y. (2006). GeoDa: An introduction to spatial data analysis. Geographical Analysis, 38(1), 5–22.

Armstrong, R. J. (1994). Impacts of commuter rail service as reflected in single-family residential property values. Transportation Research Record, 1466, 88–98.

Bae, C. C., Jun, M., & Park, H. (2003). The impact of Seoul’s subway Line 5 on residential property values. Transport Policy, 10, 85–95.

Bajic, V. (1983). The effects of a new subway line on housing prices in metropolitan Toronto. Urban Studies, 20, 147–158.

Bertaud, A. (2003). Clearing the air in Atlanta: Transit and smart growth or conventional economics. Journal of Urban Economics, 54, 379–400.

Bertaud, A. (2004). The spatial organization of cities: Deliberate outcomes or unforeseen consequence? Working paper. Berkeley, CA: University of California Berkeley, Institute of Urban and Regional Development. Retrieved from: http://escholarship.org/uc/item/5vb4w9wb.

Billings, S. B. (2011). Estimating the value of a new transit option. Regional Science and Urban Economics, 41(6), 525–536.

Blanchard, O. J. (1987). Comment. Journal of Business and Economic Statistics, 5, 449–451.

Bollinger, C. R., & Ihlanfeldt, K. R. (1997). The impacts of rapid transit on economic development: The case of Atlanta’s MARTA. Journal of Urban Economics, 42, 179–204.

Bowes, D. R., & Ihlanfeldt, K.R. (2001). Identifying the impacts of rail transit stations on residential property values. Journal of Urban Economics, 50, 1–25.

Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models. Newbury Park, CA: Sage.

Camins-Esakov, I., & Vandegrift, D. (2018). Impact of a light rail extension on residential property values. Research in Transportation Economics, 67, 11–18.

Central Houston Inc. (2009). Downtown Houston commute survey report. Retrieved from http://downtownhouston.org/site_media/uploads/attachments/2010-04-22/9A-2009_Downtown_Houston_Commute_Survey_Report.pdf

Cervero, R., & Landis, J. (1995). The transportation-land use connection still matters. Research report. Berkey, CA: University of California Transportation Center.

Cervero, R., & Landis, J. (1997). Twenty years of the Bay Area rapid transit system: Land use and development impacts. Transportation Research A, 31(4), 309–333.

Chen, H., Rufolo, A., & Drucker, K. (1998) Measuring the impact of light rail systems on single-family home values: A hedonic approach with geographic information system application. Transportation Research Record, 1617(98), 1250.

Chi, G., & Voss, P. (2005) Migration decision-making: A hierarchical regression approach. Journal of Regional Analysis and Policy, 35(2), 11–22.

Debrezion, G., Pels, E., & Rietveld, P. (2007). The impact of railway stations on residential and commercial property value: A meta-analysis. Journal of Real Estate Finance and Economic, 35, 161–180.

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.

Dubé, J., Thériault, M., & Des Rosiers, F. (2013). Commuter rail accessibility and house values: The case of the Montréal South Shore, Canada, 1992-2009. Transportation Research Part A, 54, 49–66.

Dubé, J., Legros, D., Thériault, M., & Des Rosiers, F. (2014). A spatial difference-indifferences estimator to evaluate the effect of change in public mass transit systems on house prices. Transportation Research Part B, 64, 24–40.

Fejarang, R. A. (1994). Impact on property values: A study of the Los Angeles metro rail. Washington, DC: Transportation Research Board. (Preprint, Transportation Research Board, 73rd Annual Meeting, January 9–13).

Gatzlaff, D. H., & Smith, M. T. (1993). The impact of the Miami Metrorail on the value of residences near station locations. Land Economics 69, 54–66.

Giuliano, G. (1995). The weakening transportation-land use connection. Research report. Berkeley, CA: University of California Transportation Center.

Giuliano, G. (2004). Land-use impacts of transportation investments: Highway and transit. In S. Hanson & G. Giuliano (Eds.) The geography of urban transportation (pp. 237–273). New York: the Guilford Press.

Green, R. D., & James, D. M. (1993). Rail transit station area development: Small area modeling in Washington, DC. Armonk, NY: M. E. Sharpe, Inc.

Haider, M., & Miller, E. J. (2000). Effects of transportation infrastructure and location on residential real estate values: Application of spatial autoregressive techniques. Transportation Research Record, 1722, 1–8.

Hansen W. G. (1959). How accessibility shapes land-use. Journal of the American Institute of Planners, 25, 73–76.

Heikkila, E. J. (1988). Multicollinearity in regression models with multiple distance measures. Journal of Regional Science, 28(3), 345–362.

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.

Higgins, C. D., & Kanaroglou, P. S. (2016). Forty years of modelling rapid transit’s land value uplift in North America: Moving beyond the tip of the iceberg. Transport Reviews. doi.10.1080/01441647.2016.1174748

Hox, J. (2002). Multilevel analysis: Techniques and applications. Mahwah, NJ: Lawrence Erlbaum Associates.

Jud, G. D. (1980). The effects of zoning on single-family residential property values: Charlotte, North Carolina. Land Economics, 56(2), 142–154.

Knaap, G. J., Ding, C., & Hopkins, L. D. (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.

Landis, J., Guhathakurta, S., & Zhang, M. (1994). Capitalization of transit investments into single-family home prices. Working paper. Berkeley, CA: University of California Transportation Center.

Landis, J., & Loutzenheiser, D. (1995). Bart at 20: Bart access and office building performance. Working pager 648. Berkeley, CA: Institute of Urban and Regional Development University of California Berkeley.

Lee, R., & Sener, I. N. (2017). The effect of light rail transit on land-use development in a city without zoning. Journal of Transport and Land Use, 10(1) 541–556.

Lewis-Workman, S., & Brod, D. (1997). Measuring the neighborhood benefits of rail transit accessibility. Transportation Research Record, 1576, 147–153.

Li, Z. (2018) The impact of metro accessibility on residential property values: An empirical analysis. Research in Transportation Economics. doi.org/10.1016/j.retrec.2018.07.006

Liu, X., Pan, Q., King, L., & Jin, Z. (2018). Analyzing the changes of employment subcenters: A comparison study of Houston and Dallas. Urban Studies. doi.org/10.1177/0042098018789554

McDonald J. F. (1995). Houston remains unzoned. Land Economics, 71(1), 137–140.

Mieszkowski, P., & Mills, E. (1991). Analyzing urban decentralization: The case of Houston. Regional Science and Urban Economics, 21, 183–199.

Mills, E. S. (1967). An aggregate model of resource allocation in a metropolitan area. American Economic Review, 57, 197–210.

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, 50, 158–170.

Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37, 17–33.

Mulley, C., Tsai, C., & Ma, L. (2018). Does residential property price benefit from light rail in Sydney? Research in Transportation Economics, 67, 3–10.

Muth, R. F. (1969). Cities and housing. Chicago: Chicago University Press.

Nelson, A. C. (1992). Effects of elevated heavy-rail transit stations on house prices with respect to neighborhood income. Transportation Research Record 1359, 127–132.

Nelson A. C., & McCleskey, S. (1990). Improving the effects of elevated transit stations on neighborhoods. Transportation Research Record, 1266, 173–180.

Ottensmann, J. R. (1998). Market-based exchanges of rights within a system of performance zoning. Planning and Markets. Retrieved from http://www-pam.usc.edu

Pan, Q., & Ma, L. (2009). The impacts of light rail on residential property values: A case study of the Houston METRORail transit line. Paper presented at the TRB 88th Annual Meeting, January 11-15, Washington, DC.

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

Pan, Q., Pan, H., Zhang, M., & Zhong, B. (2014). The effects of rail transit on residential property values: A comparison 1 study on the rail transit lines in Houston and Shanghai. Transportation Research Record, 2453, 118–127.

Parmeter, C. F., & Pope, J. C. (2013). Quasi-experiments and hedonic property value methods. In J. A. List & M. K. Price (Eds.), Handbook on experimental economics and the environment (pp. 3-66). Cheltenham, UK: Edward Elgar Publishing.

Ransom, M. R. (2018) The effect of light rail transit service on nearby property values: Quasi-experimental evidence from Seattle. Journal of Transport and Land Use, 11(1), 387–404.

Raudenbush, S. W., & Bryk, A. S. (2002), Hierarchical linear models, second edition. Thousand Oaks, CA.: Sage.

Rosen, S. (1974). Hedonic prices and implicit markets: Product differentiation in pure competition. Journal of Political Economy, 82, 34–55.

Seigan, B. (1972). Land use without zoning. Lexington, MA: D.C. Heath.

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.

Sharma, R., & Newman, P. (2018). Does urban rail increase land value in emerging cities? Value uplift from Bangalore Metro. Transportation Research Part A, 117, 70–86.

Transportation Research Board (TRB). (1996). Transit and urban form, TCRP Report 16. Washington, DC: Transit Cooperative Research Program.

Voith, R. (1991). Transportation, sorting, and house values. AREUEA, 117(19), 117–137.

Voith, R. (1993). Changing capitalization of CBD-oriented transportation system: Evidence from Philadelphia, 1970-1988. Journal of Urban Economics, 33, 361–376.

von Thunen, J. H. (1826). Der Isolierte Staat in Beziehung auf Landwirtschaft und Nationalokonomie. Hamburg: F. Perthes.

Wagner, G. A., Komarek, T., & Martin, J. (2017). Is the light rail ‘tide’ lifting property values? Evidence from Hampton Roads, VA. Regional Science and Urban Economics, 65, 25–37.

Weinstein, B. L., & Clower, T. L. (1999). The initial economic impacts of the DART LRT system. Denton, TX: University of North Texas, Center for Economic Development and Research.

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.

Yen, B. T. H., Mulley, C., Shearer, H., & Burke, M. (2018). Announcement, construction or delivery: When does value uplift occur for residential properties? Evidence from the Gold Coast light rail system in Australia. Land Use Policy, 73, 412–422.

Zhang, M., & Wang, L. (2013). The impacts of mass transit on land development in China: The case of Beijing. Research in Transportation Economics, 40, 124–133.

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