The effect of the Dubai Metro on the value of residential and commercial properties

Sara Ishaq Mohammad, Daniel J. Graham, Patricia C. Melo

Abstract


This paper analyzes the impact of the newly operated Dubai Metro on the sale transaction value of dwellings and commercial properties. The effect is estimated for properties within different catchment zones of a metro station using difference-in-differences and hedonic pricing methods on both repeated cross-sectional data and pseudo panel data. Our estimates show a positive effect of the metro on sale values of both residential and commercial properties, although the effect is stronger for commercial properties. The models also reveal that the effect of the metro on the value of dwellings and commercial properties is largest within 701 to 900 meters of a metro station and is about 13 percent and 76 percent, respectively.

Keywords


Difference-in-differences, hedonic pricing, Dubai Metro, pseudo panel data, repeated cross-sectional data

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References


Agostini, C. A., and G. A. Palmucci. 2008. The anticipated capitalization effect of a new metro line on housing prices. Fiscal Studies 29: 233–256.

Ahlfeldt, G. M. 2013. If we build, will they pay? Predicting property price effects of transport innovations. Environment and Planning A 45: 1977–1994.

Bertrand, M., E. Duflo, and S. Mullainathan. 2004. How much should we trust differences-in-differences estimates? The Quarterly Journal of Economics 119: 249–275.

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

Bollinger, C. R., K. R. Ihlanfeldt, and D. R. Bowes. 1998. Spatial variation in office rents within the Atlanta Region. Urban Studies 35: 1097–1118.

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

Cameron, A. C., and P.K. Trivedi. 2005. Microeconometrics: Methods and Applications. New York: Cambridge University Press.

Cervero, R. 2003. Effects of light and commuter rail transit on land prices: Experiences in San Diego County. Berkeley, CA: University of California.

Clark, T. S., and D. A. Linzer. 2013. Should I use fixed or random effects? URL: http://userwww.service.emory.edu/~tclark7/randomeffects.pdf.

Collado, M. D. 1997. Estimating dynamic models from time series of independent cross-sections. Journal of Econometrics 82: 37–62.

Concas, S. 2012. Accessibility and Housing Price Resilience: Evidence from Limited-Access Roadways. Tampa, FL: Center for Urban Transportation Research, College of Engineering, University of South Florida.

Deaton, A. 1985. Panel data from time series of cross-sections. Journal of Econometrics 30: 109–126.

Dewees, D. N. 1976. The effect of a subway on residential property values in Toronto. Journal of Urban Economics 3: 357–369.

Diaz, R. B. Impacts of rail transit on property values. 1999. Commuter Rail/Rapid Transit Conference, American Public Transit Association, Dates, Toronto.

Dickens, I. 1992. Transport investment, economic development and strategic planning: The example of light rail transit. Planning Practice and Research 7: 9–12.

Du, H., and C. Mulley. 2006. Relationship between transport accessibility and land value. Local model approach with geographically weighted regression. Transportation Research Record 1977: 197–205.

Du, H., and C. Mulley. 2007. Transport Accessibility and Land Values: A Case Study of Tyne and Wear. RICS Research paper series 7(3).

Dubai Municipality. 2003. A study on alternative systems for public transport in Dubai: PS002. In Dubai Municipality. CITY: Publisher.

Dubai Municipality. 2005. Project PS007 preliminary engineering stage for Dubai rail project. In Dubai Municipality.

Dubai Statistics Center. 2011. Dubai in figures. URL: http://dsc.gov.ae/EN/Publications/Pages/PublicationsList.aspx?PublicationId=2&Year=2011

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

Duncan, M. 2008. Comparing rail transit capitalization benefits for single-family and condominium units in San Diego, California. Transportation Research Record 2067: 120–130.

Efthymiou, D., and C. Antoniou. 2013. How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece. Transportation Research Part A: Policy and Practice 52: 1–22.

Enoch, M., S. Pottor, and P. Ison. 2005. A strategic approach to financing public transport through property values. Public Money and Management 25(3): 147–154.

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

Gibbons, S., and S. Machin. 2005. Valuing rail access using transport innovations. Journal of Urban Economics 57: 148–169.

Hahn, J., J. Han, and H. R. Moon. 2011. Test of random versus fixed effects with small within variation. Economics Letters 112: 293–297.

Kim, J., and M. Zhang. 2005. Determining transit’s impact on Seoul commercial land values: An application of spatial econometrics. International Real Estate Review 8: 1–26.

Koster H. R. A., J. N. V. Ommeren, and P. Rietveld. 2010. Estimating the Benefits of Improved Rail Access: Geographical Range and Anticipation Effects. Amsterdam: Tinbergen Institute.

Laakso, S. 1992. Public transport investment and residential property values in Helsinki. Scandinavian Housing and Planning Research 9: 217–229.

Lari, A., D. Levinson, Z. Zhao, M. Iacono, S. Aultman, K. V. Das, J. Junge, K. Larson, and M. Scharenbroich. 2009. Value Capture for Transportation Finance: Technical Research Report. Minneapolis, MN: Center for Transportation Studies, University of Minnesota.

Martínez, L. M., and J. M. Viegas. 2009. Effects of transportation accessibility on residential property values—hedonic price models in the Lisbon, Portugal, metropolitan area. Transportation Research Record 2115: 127–137.

Martínez, L. M., and J. M. Viegas. 2012. The value capture potential of the Lisbon Subway. Journal of Transport and Land Use 5(1): 65–82.

McDonald, J., and C. Osuji. 1995. The effect of anticipated transportation improvement on residential land values. Regional Science and Urban Economics 25: 261.

McMillen, D. P., and J. McDonald. 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., D. J. Graham, P. C. Melo, and R. J. Anderson. 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, H., and M. Zhang. 2008. Rail transit impacts on land use: Evidence from Shanghai, China. Transportation Research Record 2048: 16–25.

Plümper, T., and V. E. Troeger. 2007. Efficient estimation of time-invariant and rarely changing variables in finite sample panel analyses with unit fixed effects. Political Analysis 15: 124–139.

Roads and Transport Authority. 2011. A survey on Metro Passengers. Development and Corporate Dubai: Performance Department, Roads and Transport Authority.

Salon, D., and S. Shewmake. 2012. Opportunities for value capture to fund public transport: A comprehensive review of the literature with examples from East Asia. Transportation Research Board 2012 annual meeting, January 22–26, Washington, DC.

Seo, K., A. Golub, and M. Kuby. 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.

Smith, J., and T. Gihring. 2006. Financing transit systems through value capture. The American Journal of Economics and Sociology 65: 751–786.

Smith, J. J., T. A. Gihring, and T. Litman. 2010. Financing Transit Systems Through Value Capture—An Annotated Bibliography. Victoria, BC, Canada: Victoria Transport Policy Institute.

Tsai, C., W. Leong, C. Mulley, and G. Clifton. 2013. Examining estimation bias and efficiency for pseudo panel data in travel demand analysis. Transportation Research Record 2354: 1–8.

Verbeek, M., and T. Nijman. 1992. Can cohort data be treated as genuine panel data. Empirical Economics 17: 9–23.

Vichiensan, V., and K. Miyamoto. 2010. Influence of urban rail transit on house value: Spatial hedonic analysis in Bangkok. Journal of the Eastern Asia Society for Transportation Studies 8: 986–996.

Voith, R. 1991. Transportation, sorting and house values. Real Estate Economics 19: 117–137.

Weinberger, R. R. 2001. Light rail proximity: Benefit or detriment? The case of Santa Clara County, California. Transportation Research Record 1747: 104–113.

Wu, W. 2012. Does public investment spur the land market? Evidence from transport improvement in Beijing. London: Spatial Economics Research Center.




DOI: http://dx.doi.org/10.5198/jtlu.2015.750