IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v51y2016icp70-80.html
   My bibliography  Save this article

The impacts of urban mass rapid transit lines on the density and mobility of high-income households: A case study of Singapore

Author

Listed:
  • Zhu, Yi
  • Diao, Mi

Abstract

Urban rail transit could affect urban development in multiple aspects. Using Singapore as an example, we investigate the impact of planners’ and developers’ decisions on the density distribution of high-income households in areas around Mass Rapid Transit (MRT) stations and how these households respond to better access to urban rail transit systems. We find that the maximum density permitted by the master plan is only marginally correlated with the distances to MRT stations. Instead, the average unit size tends to be smaller, and the share of small-sized units tends to be higher in new private projects that are close to MRT stations after the new lines are in operation. This indicates that developers, who act mainly in response to the market, intentionally place more housing units in developments closer to MRT stations. Consequently, more upper- and upper-middle-class households that can afford private housing are accommodated in areas with greater accessibility to MRT. By comparing two household travel surveys before and after the opening of the Circle Line, we find that MRT did not change household demographics much in the station area, but there was an evident change in the mode share of trips made by the surveyed households, embodied by lower levels of car dependence and more reliance on MRT.

Suggested Citation

  • Zhu, Yi & Diao, Mi, 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, Elsevier, vol. 51(C), pages 70-80.
    • Handle: RePEc:eee:trapol:v:51:y:2016:i:c:p:70-80
    DOI: 10.1016/j.tranpol.2016.03.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X16301470
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2016.03.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cao, Xinyu (Jason) & Schoner, Jessica, 2014. "The influence of light rail transit on transit use: An exploration of station area residents along the Hiawatha line in Minneapolis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 134-143.
    2. Sock-Yong Phang & Wing-Keung Wong, 1997. "Government Policies and Private Housing Prices in Singapore," Urban Studies, Urban Studies Journal Limited, vol. 34(11), pages 1819-1829, November.
    3. Gibbons, Stephen & Machin, Stephen, 2005. "Valuing rail access using transport innovations," Journal of Urban Economics, Elsevier, vol. 57(1), pages 148-169, January.
    4. Litman, Todd, 2007. "Evaluating rail transit benefits: A comment," Transport Policy, Elsevier, vol. 14(1), pages 94-97, January.
    5. Cervero, Robert, 1994. "Transit-based housing in California: evidence on ridership impacts," Transport Policy, Elsevier, vol. 1(3), pages 174-183, June.
    6. Bollinger, Christopher R. & Ihlanfeldt, Keith R., 1997. "The Impact of Rapid Rail Transit on Economic Development: The Case of Atlanta's MARTA," Journal of Urban Economics, Elsevier, vol. 42(2), pages 179-204, September.
    7. Mi Diao, 2015. "Selectivity, spatial autocorrelation and the valuation of transit accessibility," Urban Studies, Urban Studies Journal Limited, vol. 52(1), pages 159-177, January.
    8. Cervero, Robert & Landis, John, 1997. "Twenty years of the Bay Area Rapid Transit system: Land use and development impacts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(4), pages 309-333, July.
    9. Daniel G. Chatman, 2013. "Does TOD Need the T?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 79(1), pages 17-31, January.
    10. Seow-Eng Ong & Tien-Foo Sing, 2002. "Price Discovery between Private and Public Housing Markets," Urban Studies, Urban Studies Journal Limited, vol. 39(1), pages 57-67, January.
    11. John G. Fernald, 1999. "Roads to Prosperity? Assessing the Link between Public Capital and Productivity," American Economic Review, American Economic Association, vol. 89(3), pages 619-638, June.
    12. Daniel Baldwin Hess & Tangerine Maria Almeida, 2007. "Impact of Proximity to Light Rail Rapid Transit on Station-area Property Values in Buffalo, New York," Urban Studies, Urban Studies Journal Limited, vol. 44(5-6), pages 1041-1068, May.
    13. Landis, John & Guhathakurta, Subhrajit & Huang, William & Zhang, Ming, 1995. "Rail Transit Investments, Real Estate Values, and Land Use Change: A Comparative Analysis of Five California Rail Transit Systems," University of California Transportation Center, Working Papers qt2hf9s9sr, University of California Transportation Center.
    14. Yi Zhu & Mi Diao, 2015. "Featured Graphic. The Evolution of a Two-Sector Housing Market," Environment and Planning A, , vol. 47(4), pages 763-765, April.
    15. Bowes, David R. & Ihlanfeldt, Keith R., 2001. "Identifying the Impacts of Rail Transit Stations on Residential Property Values," Journal of Urban Economics, Elsevier, vol. 50(1), pages 1-25, July.
    16. Ghebreegziabiher Debrezion & Eric Pels & Piet Rietveld, 2007. "The Impact of Railway Stations on Residential and Commercial Property Value: A Meta-analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 161-180, August.
    17. Daniel P. McMillen & John McDonald, 2004. "Reaction of House Prices to a New Rapid Transit Line: Chicago's Midway Line, 1983–1999," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(3), pages 463-486, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Benita, Francisco & Piliouras, Georgios, 2020. "Location, location, usage: How different notions of centrality can predict land usage in Singapore," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    2. Song, Siqi & Diao, Mi & Feng, Chen-Chieh, 2016. "Individual transport emissions and the built environment: A structural equation modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 206-219.
    3. Jin, Tanhua & Cheng, Long & Liu, Zhicheng & Cao, Jun & Huang, Haosheng & Witlox, Frank, 2022. "Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments," Transport Policy, Elsevier, vol. 117(C), pages 48-59.
    4. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    5. Diao, Mi, 2018. "Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 279-290.
    6. Song, Siqi & Diao, Mi & Feng, Chen-Chieh, 2021. "Effects of pricing and infrastructure on car ownership: A pseudo-panel-based dynamic model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 115-126.
    7. Diao, Mi, 2019. "Towards sustainable urban transport in Singapore: Policy instruments and mobility trends," Transport Policy, Elsevier, vol. 81(C), pages 320-330.
    8. Wang, Zi-Jia & Jia, Hui-Hui & Dai, Fangzhou & Diao, Mi, 2022. "Understanding the ground access and airport choice behavior of air passengers using transit payment transaction data," Transport Policy, Elsevier, vol. 127(C), pages 179-190.
    9. Deng, Yiling & Zhao, Pengjun, 2022. "The impact of new metro on travel behavior: Panel analysis using mobile phone data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 46-57.
    10. Shanlang Lin & Prithvi Raj Dhakal & Zhaowei Wu, 2021. "The Impact of High-Speed Railway on China’s Regional Economic Growth Based on the Perspective of Regional Heterogeneity of Quality of Place," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
    11. Yang, Shuo & Fan, Yingling & Deng, Wei & Cheng, Long, 2019. "Do built environment effects on travel behavior differ between household members? A case study of Nanjing, China," Transport Policy, Elsevier, vol. 81(C), pages 360-370.
    12. Agarwal, Sumit & Diao, Mi & Keppo, Jussi & Sing, Tien Foo, 2020. "Preferences of public transit commuters: Evidence from smart card data in Singapore," Journal of Urban Economics, Elsevier, vol. 120(C).
    13. Siqi Song & Chen-Chieh Feng & Mi Diao, 2020. "Vehicle quota control, transport infrastructure investment and vehicle travel: A pseudo panel analysis," Urban Studies, Urban Studies Journal Limited, vol. 57(12), pages 2527-2546, September.
    14. Se-il MUN & Lei QIN & Yue ZHOU, 2023. "The Effects of Mass Transit System on Urban Population Distribution:Evidence from Wuhan," Discussion papers e-23-003, Graduate School of Economics , Kyoto University.
    15. Yi Zhu, 2022. "Inference of activity patterns from urban sensing data using conditional random fields," Environment and Planning B, , vol. 49(2), pages 549-565, February.
    16. Kong, Qunxi & Shen, Chenrong & Li, Rongrong & Wong, Zoey, 2021. "High-speed railway opening and urban green productivity in the post-COVID-19: Evidence from green finance," Global Finance Journal, Elsevier, vol. 49(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhong, Haotian & Li, Wei, 2016. "Rail transit investment and property values: An old tale retold," Transport Policy, Elsevier, vol. 51(C), pages 33-48.
    2. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    3. Hurst, Needham B. & West, Sarah E., 2014. "Public transit and urban redevelopment: The effect of light rail transit on land use in Minneapolis, Minnesota," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 57-72.
    4. Mejia-Dorantes, Lucia & Lucas, Karen, 2014. "Public transport investment and local regeneration: A comparison of London׳s Jubilee Line Extension and the Madrid Metrosur," Transport Policy, Elsevier, vol. 35(C), pages 241-252.
    5. Kyeongsu Kim & Michael L. Lahr, 2014. "The impact of Hudson-Bergen Light Rail on residential property appreciation," Papers in Regional Science, Wiley Blackwell, vol. 93, pages 79-97, November.
    6. Li, Jianyi & Huang, Hao, 2020. "Effects of transit-oriented development (TOD) on housing prices: A case study in Wuhan, China," Research in Transportation Economics, Elsevier, vol. 80(C).
    7. Redfearn, Christian L., 2009. "How informative are average effects? Hedonic regression and amenity capitalization in complex urban housing markets," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 297-306, May.
    8. Devaux, Nicolas & Dubé, Jean & Apparicio, Philippe, 2017. "Anticipation and post-construction impact of a metro extension on residential values: The case of Laval (Canada), 1995–2013," Journal of Transport Geography, Elsevier, vol. 62(C), pages 8-19.
    9. Zheng, Siqi & Xu, Yangfei & Zhang, Xiaonan & Wang, Rui, 2016. "Transit development, consumer amenities and home values: Evidence from Beijing's subway neighborhoods," Journal of Housing Economics, Elsevier, vol. 33(C), pages 22-33.
    10. Michael Duncan, 2011. "The Impact of Transit-oriented Development on Housing Prices in San Diego, CA," Urban Studies, Urban Studies Journal Limited, vol. 48(1), pages 101-127, January.
    11. Aliyu Ahmad Aliyu & Olurotimi Adebowale Kemiki & Muhammad Umar Bello, 2018. "Transportation Accessibility Benefit and the Dynamic Pattern of Real Estate Prices: Emerging Literature," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 4(11), pages 1001-1016, November.
    12. Pasha, Obed & Wyczalkowski, Chris & Sohrabian, Dro & Lendel, Iryna, 2020. "Transit effects on poverty, employment, and rent in Cuyahoga County, Ohio," Transport Policy, Elsevier, vol. 88(C), pages 33-41.
    13. Pilgram, Clemens A. & West, Sarah E., 2018. "Fading premiums: The effect of light rail on residential property values in Minneapolis, Minnesota," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 1-10.
    14. Shadi O. Tehrani & Shuling J. Wu & Jennifer D. Roberts, 2019. "The Color of Health: Residential Segregation, Light Rail Transit Developments, and Gentrification in the United States," IJERPH, MDPI, vol. 16(19), pages 1-19, September.
    15. Mi Diao & Yi Zhu & Jiren Zhu, 2017. "Intra-city access to inter-city transport nodes: The implications of high-speed-rail station locations for the urban development of Chinese cities," Urban Studies, Urban Studies Journal Limited, vol. 54(10), pages 2249-2267, August.
    16. Ahlfeldt, Gabriel M. & Nitsch, Volker & Wendland, Nicolai, 2019. "Ease vs. noise: Long-run changes in the value of transport (dis)amenities," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    17. Wenjie Wu, 2012. "Does Public Investment Spur the Land Market?: Evidence from Transport Improvement in Beijing," SERC Discussion Papers 0116, Centre for Economic Performance, LSE.
    18. Billings, Stephen B., 2011. "Estimating the value of a new transit option," Regional Science and Urban Economics, Elsevier, vol. 41(6), pages 525-536.
    19. Pagliara, Francesca & Papa, Enrica, 2011. "Urban rail systems investments: an analysis of the impacts on property values and residents’ location," Journal of Transport Geography, Elsevier, vol. 19(2), pages 200-211.
    20. Seungwoo Chin & Matthew E. Kahn & Hyungsik Roger Moon, 2020. "Estimating the Gains from New Rail Transit Investment: A Machine Learning Tree Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(3), pages 886-914, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:51:y:2016:i:c:p:70-80. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.