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Do housing tenure and public transport provision matter in automobile use in bedroom suburban communities? Evidence from Beijing

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Abstract

To understand the factors shaping commute behaviour, we need to relate dwelling tenure and location to commuting decisions, especially at the expanding edges of emerging megacities such as those in China. This paper proposes a cross-sectional examination of housing choice, public transport provision and automobile related behaviour to understand the underlying mechanism for travel behaviour. Residential communities at the urban periphery (n = 25) were randomly sampled by stratified house price in three suburban extension areas of Beijing. Respondents intercepted in the public environment (n = 1224) provided information on household characteristics, housing tenure, and commute choices over a timeframe. The relationships among these variables were examined using partial least squares structural equation modelling. Research findings showed that public transport provision had positive effect on car ownership, and housing choice including dwelling tenure and job-housing distance had significant impact on automobile ownership and commute as well. Within housing choice, tenure status had positive significant effect on job-housing distance. Public transport provision was also found to have significant impact on housing choice behaviours. While previous work on commuting behaviour has concentrated on transport-related factors, these results indicate that travel outcomes are related to a considerable extent to urban development factors that are susceptible to policy control.

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References

  • Aditjandra, P. T., Cao, X. J., & Mulley, C. (2012). Understanding neighbourhood design impact on travel behaviour: An application of structural equations model to a British metropolitan data. Transportation Research Part A-Policy and Practice., 46(1), 22–32.

    Article  Google Scholar 

  • Ahmad, N. (1994). A joint model of tenure choice and demand for housing in the City of Karachi. Urban Studies., 31(10), 1691–1706.

    Article  Google Scholar 

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

    Book  Google Scholar 

  • Anowar, S., Eluru, N., & Miranda-Moreno, L. F. (2016). Analysis of vehicle ownership evolution in Montreal, Canada using pseudo panel analysis. Transportation., 43(3), 531–548.

    Article  Google Scholar 

  • Ayvalik, C. K., & Jotin Khisty, C. (2002). Heuristic analysis of impacts of commuter rail station consolidation on pedestrian access. Transportation Research Record: Journal of the Transportation Research Board., 1793(1), 47–54.

    Article  Google Scholar 

  • Banerjee, U., & Hine, J. (2016). Interpreting the influence of urban form on household car travel using partial least squares structural equation modelling: Some evidence from Northern Ireland. Transportation Planning and Technology., 39(1), 24–44.

    Article  Google Scholar 

  • Baraklianos, I., Bouzouina, L., Bonnel, P., & Aissaoui, H. (2018). Does the accessibility measure influence the results of residential location choice modelling? Transportation, 1, 1–30.

    Google Scholar 

  • Bazyl, M. (2009). Factors influencing tenure choice in European countries. IRISS at CEPS/INSTEAD.

  • Behrens, R. (2003). Looking beyond commuter travel in Cape Town: Methodological lessons from the application of an activity-based travel survey. In P. Stopher & P. Jones (Eds.), Transport Survey Quality and Innovation. Oxford: Elsevier.

    Google Scholar 

  • Beijing Municipal Urban Planning Commission. (1982). The masterplan of Beijing (19821990).

  • Beijing Statistics Bureau. (2014). Beijing statistical yearbook. Beijing: China’s Statistic Press.

    Google Scholar 

  • Beijing Transportation Research Center. (2013). Annual report of Beijing transportation development 2013.

  • Beijing Transportation Research Center. (2014). Annual report of Beijing transportation development 2014.

  • Ben-Shahar, D. (2007). Tenure choice in the housing market: Psychological versus economic factors. Environment and Behavior., 39(6), 841–858.

    Article  Google Scholar 

  • Biba, S., Curtin, K. M., & Manca, G. (2010). A new method for determining the population with walking access to transit. International Journal of Geographical Information Science, 24(3), 347–364.

    Article  Google Scholar 

  • Boarnet, M., & Crane, R. (2001). The influence of land use on travel behavior: Specification and estimation strategies. Transportation Research Part A-Policy and Practice., 35(9), 823–845.

    Article  Google Scholar 

  • Buckwalter, D. W. (2017). Modal choice in the Pittsburgh metropolitan statistical area: An exploratory data analysis. The Professional Geographer., 69(1), 94–106.

    Article  Google Scholar 

  • Buehler, R. (2011). Determinants of transport mode choice: A comparison of Germany and the USA. Journal of Transport Geography, 19(4), 644–657.

    Article  Google Scholar 

  • Cao, J., & Cao, X. (2014). The impacts of LRT, neighbourhood characteristics, and self-selection on auto ownership: Evidence from Minneapolis-St.Paul. Urban Studies., 51(10), 2068–2087.

    Article  Google Scholar 

  • Cervero, R. (1989). Jobs-housing balancing and regional mobility. Journal of the American Planning Association., 55(2), 136–150.

    Article  Google Scholar 

  • Cervero, R. (2002). Built environments and mode choice: Toward a normative framework. Transportation Research Part D-Transport and Environment, 7, 265–284.

    Article  Google Scholar 

  • Cervero, R., & Murakami, J. (2010). Effects of built environments on vehicle miles traveled: Evidence from 370 US urbanized areas. Environment and Planning A: Economy and Space., 42(2), 400–418.

    Article  Google Scholar 

  • Cervero, R., & Wu, K. L. (1997). Polycentrism, commuting, and residential location in the San Francisco Bay Area. Environment and Planning a., 29(5), 865–886.

    Article  Google Scholar 

  • Chatman, D. G. (2008). Deconstructing development density: Quality, quantity and price effects on household non-work travel. Transportation Research Part a: Policy and Practice., 42(7), 1008–1030.

    Google Scholar 

  • Chen, R. B., Gehrke, S. R., Liu, J. H., Jang, Y., & Clifton, K. J. (2013). Exploring engagement in household activities and decisions on residential tenure and household type. Transportation Research Record, 2344(1), 68–78.

    Article  Google Scholar 

  • Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), 7–16.

    Google Scholar 

  • Cho, C. (1997). Joint choice of tenure and dwelling type: A multinomial logit analysis for the city of Chongju. Urban Studies., 34(9), 1459–1473.

    Article  Google Scholar 

  • Cookson, G. (2018). INRIX Global Traffic Scorecard. Krikland: INRIX Research.

    Google Scholar 

  • Cullinane, S. (2002). The relationship between car ownership and public transport provision: A case study of Hong Kong. Transport Policy, 9(1), 29–39.

    Article  Google Scholar 

  • Cullinane, S., & Cullinane, K. (2003). Car dependence in a public transport dominated city: Evidence from Hong Kong. Transportation Research Part D: Transport and Environment., 8(2), 129–138.

    Article  Google Scholar 

  • Currie, G., & Delbosc, A. (2011). Mobility vs. affordability as motivations for car-ownership choice in Urban Fringe, low-income Australia. In K. Lucas, E. Blumenberg, & R. Weinberger (Eds.), Auto motives (pp. 193–208). Bingley: Emerald Group Publishing Limited.

    Chapter  Google Scholar 

  • Dargay, J., & Gately, D. (1999). Income’s effect on car and vehicle ownership, worldwide: 1960–2015. Transportation Research Part A: Policy and Practice., 33(2), 101–138.

    Google Scholar 

  • Efthymiou, D., & Antoniou, C. (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.

    Google Scholar 

  • Ekers, M., Hamel, P., & Keil, R. (2012). Governing Suburbia: Modalities and Mechanisms of Suburban Governance. Regional Studies, 46(3), 405–422.

    Article  Google Scholar 

  • Elder, H., & Zumpano, L. (1991). Tenure choice, housing demand and residential location. Journal of Real Estate Research., 6(3), 341–356.

    Article  Google Scholar 

  • Engebretsen, Ø., Næss, P., & Strand, A. (2018). Residential location, workplace location and car driving in four Norwegian cities. European Planning Studies, 26(10), 2036–2057.

    Article  Google Scholar 

  • Ewing, R., & Cervero, R. (2010). Travel and the built environment. Journal of the American Planning Association., 76(3), 265–294.

    Article  Google Scholar 

  • Fallis, G. (1983). Housing tenure in a model of consumer choice: A simple diagrammatic analysis. Real Estate Economics., 11(1), 30–44.

    Article  Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Article  Google Scholar 

  • Fu, Q., Zhu, Y., & Ren, Q. (2015). The downside of marketization: A multilevel analysis of housing tenure and types in reform-era urban China. Social Science Research, 49, 126–140.

    Article  Google Scholar 

  • Gadziński, J., & Radzimski, A. (2016). The first rapid tram line in Poland: How has it affected travel behaviours, housing choices and satisfaction, and apartment prices? Journal of Transport Geography, 54, 451–463.

    Article  Google Scholar 

  • Gong, P., Li, X., & Zhang, W. (2019). 40-Year (1978–2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing. Science Bulletin., 64(11), 756–763.

    Article  Google Scholar 

  • Goodman, A. C. (2003). Following a panel of stayers: Length of stay, tenure choice, and housing demand. Journal of Housing Economics, 12(2), 106–133.

    Article  Google Scholar 

  • Guerra, E., Cervero, R., & Tischler, D. (2012). Half-mile circle: Does it best represent transit station catchments? Transportation Research Record, 2276(1), 101–109.

    Article  Google Scholar 

  • Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2013a). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks: Sage.

    Google Scholar 

  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice., 19(2), 139–152.

    Article  Google Scholar 

  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013b). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1), 1–12.

    Article  Google Scholar 

  • Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The use of partial least squares structural equation modeling in strategic management research: A review of past practices and recommendations for future applications. Long Range Planning, 45(5), 320–340.

    Article  Google Scholar 

  • Haque, M. M., Chin, H. C., & Debnath, A. K. (2013). Sustainable, safe, smart—three key elements of Singapore’s evolving transport policies. Transport Policy, 27, 20–31.

    Article  Google Scholar 

  • Ho, C., & Hensher, D. (2014). Housing prices and price endogeneity in tenure and dwelling type choice models. Case Studies On Transport Policy, 2(3), 107–115.

    Article  Google Scholar 

  • Huang, Y. (2003). A room of one’s own: Housing consumption and residential crowding in transitional urban China. Environment and Planning A: Economy and Space., 35(4), 591–614.

    Article  Google Scholar 

  • Huang, Y., & Clark, W. A. V. (2002). Housing tenure choice in transitional urban China: A multilevel analysis. Urban Studies, 39(1), 7–32.

    Google Scholar 

  • Hui, E. C. M. (2007). Population mobility, tenure choice and institutional factors. Urban Policy and Research., 25(3), 305–323.

    Article  Google Scholar 

  • Ji, J., & Gao, X. L. (2010). Analysis of people’s satisfaction with public transportation in Beijing. Habitat International, 34(4), 464–470.

    Article  Google Scholar 

  • Karnruzzaman, M., Shatu, F. M., Hine, J., & Turrell, G. (2015). Commuting mode choice in transit oriented development: Disentangling the effects of competitive neighbourhoods, travel attitudes, and self-selection. Transport Policy, 42, 187–196.

    Article  Google Scholar 

  • Kenyon, S. (2006). The ‘accessibility diary’: Discussing a new methodological approach to understand the impact of Internet use upon personal travel and activity participation. Journal of Transport Geography, 14(2), 123–134.

    Article  Google Scholar 

  • Kim, H. S., & Kim, E. (2004). Effects of public transit on automobile ownership and use in households of the USA. Review of Urban & Regional Development Studies., 16(3), 245–262.

    Article  Google Scholar 

  • Kitamura, R., Mokhtarian, P. L., & Laidet, L. (1997). A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area. Transportation, 24(2), 125–158.

    Article  Google Scholar 

  • Knowles, R. D. (1996). Transport impacts of greater Manchester’s metrolink light rail system. Journal of Transport Geography, 4(1), 1–14.

    Article  Google Scholar 

  • Ko, J., Lee, S., & Byun, M. (2019). Exploring factors associated with commute mode choice: An application of city-level general social survey data. Transport Policy, 75, 36–46.

    Article  Google Scholar 

  • Koizumi, N., & McCann, P. (2006). Living on a plot of land as a tenure choice: The case of Panama. Journal of Housing Economics, 15(4), 349–371.

    Article  Google Scholar 

  • Kurzhanskiy, A. A., & Varaiya, P. (2015). Traffic management: An outlook. Economics of Transportation., 4(3), 135–146.

    Article  Google Scholar 

  • Li, M. M. (1977). A Logit Model of Homeownership. Econometrica., 45(5), 1081–1097.

    Google Scholar 

  • Li, S., & Zhao, P. (2017). Exploring car ownership and car use in neighborhoods near metro stations in Beijing: Does the neighborhood built environment matter? Transportation Research Part D: Transport and Environment., 56, 1–17.

    Article  Google Scholar 

  • Limanond, T., & Niemeier, D. A. (2003). Accessibility and mode-destination choice decisions: Exploring travel in three neighborhoods in Puget Sound, WA. Environment and Planning B-Planning & Design., 30(2), 219–238.

    Article  Google Scholar 

  • Lin, X., Zhou, M., Le, X., & Yang, J. (2016). Assessing motor vehicle quota policies in China: Social welfare perspective. Transportation Research Record, 2581(1), 1–8.

    Article  Google Scholar 

  • Loo, B. P. Y., & Chow, A. S. Y. (2008). Changing urban form in Hong Kong: What are the challenges on sustainable transportation? International Journal of Sustainable Transportation., 2(3), 177–193.

    Article  Google Scholar 

  • Madden, J. F., & Chiu, L. (1990). The wage effects of residential location and commuting constraints on employed married-women. Urban Studies., 27(3), 353–369.

    Article  Google Scholar 

  • Manoj, M., Verma, A., & Navyatha, M. (2015). Commute travel and its effect on housing tenure choice of males and females living in the urban and rural areas of Bangalore city in India. Journal of Transport Geography, 45, 62–69.

    Article  Google Scholar 

  • Marshall, S., & Banister, D. (2000). Travel reduction strategies: intentions and outcomes. Transportation Research Part A: Policy and Practice., 34(5), 321–338.

    Google Scholar 

  • Martínez, L., & Viegas, J. (2009). Effects of transportation accessibility on residential property values. Transportation Research Record: Journal of the Transportation Research Board., 2115, 127–137.

    Article  Google Scholar 

  • Mavoa, S., Witten, K., McCreanor, T., & O Sullivan, D. (2012). GIS based destination accessibility via public transit and walking in Auckland, New Zealand. Journal of Transport Geography, 20(1), 15–22.

    Article  Google Scholar 

  • Ortalo-Magné, F., & Rady, S. (2002). Tenure choice and the riskiness of non-housing consumption. Journal of Housing Economics, 11(3), 266–279.

    Article  Google Scholar 

  • O’Sullivan, D., Morrison, A., & Shearer, J. (2000). Using desktop GIS for the investigation of accessibility by public transport: An isochrone approach. International Journal of Geographical Information Science, 14(1), 85–104.

    Article  Google Scholar 

  • Pickvance, C. G. (1973). Life-cycle, housing tenure and intra-urban residential mobility: A causal model. The Sociological Review., 21(2), 279–297.

    Article  Google Scholar 

  • Potoglou, D., & Kanaroglou, P. S. (2008). Modelling car ownership in urban areas: A case study of Hamilton, Canada. Journal of Transport Geography, 16(1), 42–54.

    Article  Google Scholar 

  • Ringle, C. M., Wende, S., & Becker, J. (2015). SmartPLS 3. Germany: Boenningstedt.

    Google Scholar 

  • Saghapour, T., Moridpour, S., & Thompson, R. G. (2016). Public transport accessibility in metropolitan areas: A new approach incorporating population density. Journal of Transport Geography, 54, 273–285.

    Article  Google Scholar 

  • Silva, J. D. A. E., Golob, T. F., & Goulias, K. G. (2006). Effects of land use characteristics on residence and employment location and travel behavior of urban adult workers. Transportation Research Record, 1977(1), 121–131.

    Article  Google Scholar 

  • Skaburskis, A. (1999). Modelling the choice of tenure and building type. Urban Studies., 36(13), 2199–2215.

    Article  Google Scholar 

  • Stevens, M. R. (2017). Does compact development make people drive less? Journal of the American Planning Association., 83(1), 7–18.

    Article  Google Scholar 

  • Stigell, E., & Schantz, P. (2011). Methods for determining route distances in active commuting—Their validity and reproducibility. Journal of Transport Geography, 19(4), 563–574.

    Article  Google Scholar 

  • Sun, Z. (2015). Transport equity of suburbanizing Beijing. Beijing: Peking University. (in Chinese).

    Google Scholar 

  • Sun, B., Ermagun, A., & Dan, B. (2017). Built environmental impacts on commuting mode choice and distance: Evidence from Shanghai. Transportation Research Part D: Transport and Environment, 52, 441–453.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Wang, D., & Li, S. (2004). Housing preferences in a transitional housing system: The case of Beijing, China. Environment and Planning A: Economy and Space., 36(1), 69–87.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Yi, C., & Lee, S. (2014). An empirical analysis of the characteristics of residential location choice in the rapidly changing Korean housing market. Cities, 39, 156–163.

    Article  Google Scholar 

  • Younes, B. (1995). The benefits of improving public transport: A myth or reality? Transport Reviews, 15(4), 333–356.

    Article  Google Scholar 

  • Zegras, C. (2010). The built environment and motor vehicle ownership and use: Evidence from Santiago de Chile. Urban Studies., 47(8), 1793–1817.

    Article  Google Scholar 

  • Zhang, L., Long, R., & Chen, H. (2019). Do car restriction policies effectively promote the development of public transport? World Development, 119, 100–110.

    Article  Google Scholar 

  • Zhao, F., Chow, L., Li, M., Ubaka, I., & Gan, A. (2003). Forecasting transit walk accessibility: Regression model alternative to buffer method. Transportation Research Record: Journal of the Transportation Research Board, 1835, 34–41.

    Article  Google Scholar 

  • Zhao, P. J., & Lu, B. (2011). Managing urban growth to reduce motorised travel in Beijing: one method of creating a low-carbon city. Journal of Environmental Planning and Management, 54(7), 959–977.

    Article  Google Scholar 

  • Zhao, P., Lu, B., & de Roo, G. (2011). The impact of urban growth on commuting patterns in a restructuring city: Evidence from Beijing. Papers in Regional Science., 90(4), 735–754.

    Article  Google Scholar 

  • Zhou, J., Wang, Y., & Schweitzer, L. (2012). Jobs/housing balance and employer-based travel demand management program returns to scale: Evidence from Los Angeles. Transport Policy, 20, 22–35.

    Article  Google Scholar 

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Acknowledgements

The authors thank the anonymous reviewers for their comments and suggestions to improve the quality of this paper. The financial support from Social Science Foundation of Beijing (No. 19GLC065) and the State Administration for Foreign Experts Affairs, People’s Republic of China are gratefully acknowledged.

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Sun, Z., Zacharias, J. Do housing tenure and public transport provision matter in automobile use in bedroom suburban communities? Evidence from Beijing. J Hous and the Built Environ 36, 241–262 (2021). https://doi.org/10.1007/s10901-020-09748-2

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