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A joint analysis of residential location, work location and commuting mode choices in Hanoi, Vietnam

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  • Tran, Minh Tu
  • Zhang, Junyi
  • Chikaraishi, Makoto
  • Fujiwara, Akimasa

Abstract

The influence of land use policy on people's residential and travel choices may be overestimated because of self-selection effects. In the context of commuting, neighborhood and travel preferences may induce self-selection effects in choices about residential location, work location, and commuting mode. Presumably, such self-selection effects may vary across different job markets. To date, however, no study has been done in developing countries. Therefore, this study aims to fill this research gap by using data collected in Hanoi, Vietnam. A joint model with the above three choices is built by incorporating self-selection effects, where effects of land use attributes are emphasized. Choices of labor-intensive workers (11,344) and knowledge-intensive workers (12,360) are compared. The statistical significance of multiple self-selection effects is confirmed, which suggests that the joint estimation of the above three choices is a useful approach. As for the magnitude of influence of self-selection effects, self-selection seems to be more influential in knowledge-intensive workers' residential location and work location choices. As for land use attributes, different types of households, and labor-intensive and knowledge-intensive workers show different responses to different types of land in location choices (especially the work location choice). Effects of land use diversity and population density on the commuting mode choice are mixed. Additionally, the centralization of knowledge-intensive employment and decentralization of labor-intensive employment are captured. These findings may be useful for city planners in Hanoi in designing land use patterns in the future in order to keep knowledge-intensive workers working and living close together.

Suggested Citation

  • Tran, Minh Tu & Zhang, Junyi & Chikaraishi, Makoto & Fujiwara, Akimasa, 2016. "A joint analysis of residential location, work location and commuting mode choices in Hanoi, Vietnam," Journal of Transport Geography, Elsevier, vol. 54(C), pages 181-193.
  • Handle: RePEc:eee:jotrge:v:54:y:2016:i:c:p:181-193
    DOI: 10.1016/j.jtrangeo.2016.06.003
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    References listed on IDEAS

    as
    1. Simpson, Wayne, 1980. "A simultaneous model of workplace and residential location incorporating job search," Journal of Urban Economics, Elsevier, vol. 8(3), pages 330-349, November.
    2. Xinyu (Jason) Cao & Patricia L. Mokhtarian & Susan L. Handy, 2008. "Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings," Transport Reviews, Taylor & Francis Journals, vol. 29(3), pages 359-395, October.
    3. Makoto Chikaraishi & Akimasa Fujiwara & Junyi Zhang & Kay Axhausen, 2011. "Identifying variations and co-variations in discrete choice models," Transportation, Springer, vol. 38(6), pages 993-1016, November.
    4. Abdul Pinjari & Ram Pendyala & Chandra Bhat & Paul Waddell, 2007. "Modeling residential sorting effects to understand the impact of the built environment on commute mode choice," Transportation, Springer, vol. 34(5), pages 557-573, September.
    5. Cao, Jason, 2014. "Residential self-selection in the relationships between the built environment and travel behavior: Introduction to the special issue," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 1-3.
    6. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    7. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(1), pages 1-2, May.
    8. Gordon, Peter & Kumar, Ajay & Richardson, Harry W., 1989. "The influence of metropolitan spatial structure on commuting time," Journal of Urban Economics, Elsevier, vol. 26(2), pages 138-151, September.
    9. Connie Zheng & David Lamond, 2010. "Organisational determinants of employee turnover for multinational companies in Asia," Asia Pacific Journal of Management, Springer, vol. 27(3), pages 423-443, September.
    10. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    11. Cao, Xinyu & Mokhtarian, Patricia & Handy, Susan, 2008. "Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings," Institute of Transportation Studies, Working Paper Series qt08x1k476, Institute of Transportation Studies, UC Davis.
    12. Loo, Becky P.Y. & Chow, Alice S.Y., 2011. "Jobs-housing balance in an era of population decentralization: An analytical framework and a case study," Journal of Transport Geography, Elsevier, vol. 19(4), pages 552-562.
    13. Abdul Pinjari & Ram Pendyala & Chandra Bhat & Paul Waddell, 2011. "Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions," Transportation, Springer, vol. 38(6), pages 933-958, November.
    14. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    15. Biying, Yu & Zhang, Junyi & Fujiwara, Akimasa, 2012. "Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects," Energy Policy, Elsevier, vol. 46(C), pages 319-334.
    16. Zhao, Pengjun & Lü, Bin & Roo, Gert de, 2011. "Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era," Journal of Transport Geography, Elsevier, vol. 19(1), pages 59-69.
    17. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(2), pages 109-110, August.
    18. Cervero, Robert B., 2013. "Linking urban transport and land use in developing countries," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 7-24.
    19. Kim, Chansung, 2008. "Commuting time stability: A test of a co-location hypothesis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 524-544, March.
    20. Siegel, Jay, 1975. "Intrametropolitan migration: A simultaneous model of employment and residential location of white and black households," Journal of Urban Economics, Elsevier, vol. 2(1), pages 29-47, January.
    21. Wang, Donggen & Chai, Yanwei, 2009. "The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei," Journal of Transport Geography, Elsevier, vol. 17(1), pages 30-38.
    22. Bert van Wee, 2009. "Self‐Selection: A Key to a Better Understanding of Location Choices, Travel Behaviour and Transport Externalities?," Transport Reviews, Taylor & Francis Journals, vol. 29(3), pages 279-292, January.
    23. Potoglou, Dimitris & Kanaroglou, Pavlos S., 2008. "Modelling car ownership in urban areas: a case study of Hamilton, Canada," Journal of Transport Geography, Elsevier, vol. 16(1), pages 42-54.
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    3. Andani, I Gusti Ayu & La Paix Puello, Lissy & Geurs, Karst, 2021. "Modelling effects of changes in travel time and costs of toll road usage on choices for residential location, route and travel mode across population segments in the Jakarta-Bandung region, Indonesia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 81-102.
    4. Ding, Chuan & Cao, Xinyu & Wang, Yunpeng, 2018. "Synergistic effects of the built environment and commuting programs on commute mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 104-118.
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    6. Chandrasekhar, S & Sharma, Ajay & Mishra, Sumit, 2017. "Transport Mode Choice for Commuting: Evidence from India," SocArXiv qh8m5, Center for Open Science.
    7. Le Yu & Binglei Xie & Edwin H. W. Chan, 2018. "How does the Built Environment Influence Public Transit Choice in Urban Villages in China?," Sustainability, MDPI, vol. 11(1), pages 1-15, December.
    8. Zhang, Lihong & Liu, Yan & Lieske, Scott N. & Corcoran, Jonathan, 2022. "Using modality styles to understand cycling dissonance: The role of the street-scale environment in commuters' travel mode choice," Journal of Transport Geography, Elsevier, vol. 103(C).
    9. Thi Mai Chi Nguyen & Hironori Kato & Le Binh Phan, 2020. "Is Built Environment Associated with Travel Mode Choice in Developing Cities? Evidence from Hanoi," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    10. Thanousorn Vongpraseuth & Eun Yeong Song & Chang Gyu Choi, 2022. "Mode of Transport and Inequity in a Least Developed Country: The Case of Vientiane, Lao PDR," Sustainability, MDPI, vol. 14(10), pages 1-13, May.
    11. Alejandro Sánchez-Atondo & Leonel García & Julio Calderón-Ramírez & José Manuel Gutiérrez-Moreno & Alejandro Mungaray-Moctezuma, 2020. "Understanding Public Transport Ridership in Developing Countries to Promote Sustainable Urban Mobility: A Case Study of Mexicali, Mexico," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
    12. Jia Guo & Tao Feng & Harry J. P. Timmermans, 2020. "Modeling co-dependent choice of workplace, residence and commuting mode using an error component mixed logit model," Transportation, Springer, vol. 47(2), pages 911-933, April.
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