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Are People from Households with Children More Likely to Travel by Car? An Empirical Investigation of Individual Travel Mode Choices in Shanghai, China

Author

Listed:
  • Nan Ye

    (School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Linjie Gao

    (School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Zhicai Juan

    (Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Anning Ni

    (School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

China is expected to have more children now that its family planning policy has been relaxed, and the influence of children on transportation and sustainability should not be neglected. This study uses econometric methods to explore the impact that the presence of children has on household car ownership, car-travel behavior of family members, and variability in their car-use frequency across weekdays and weekends. Models are estimated using multi-day travel patterns imputed from GPS-enabled smartphone data collected in Shanghai, China. Results indicate that: (1) households with children have more private cars than those without children, and the presence of preschoolers and pupils both increase families’ demand for car ownership; (2) travel behavior of people from households with children is influenced subtly by the children’s presence, which leads them to prefer to travel by car, although the presence of retired or unemployed household members can weaken that influence; and (3) car-travel frequency of individuals is significantly different between weekdays and weekends, with the presence of pupils in the household diminishing that variability and the presence of preschoolers enlarging it. Policymakers and transportation planners should be concerned about these issues and take appropriate measures.

Suggested Citation

  • Nan Ye & Linjie Gao & Zhicai Juan & Anning Ni, 2018. "Are People from Households with Children More Likely to Travel by Car? An Empirical Investigation of Individual Travel Mode Choices in Shanghai, China," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4573-:d:187618
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    as
    1. Jianchuan Xianyu & Soora Rasouli & Harry Timmermans, 2017. "Analysis of variability in multi-day GPS imputed activity-travel diaries using multi-dimensional sequence alignment and panel effects regression models," Transportation, Springer, vol. 44(3), pages 533-553, May.
    2. Yi Zhang & Wei Wu & Yuan Li & Qixing Liu & Chaoyang Li, 2014. "Does the Built Environment Make a Difference? An Investigation of Household Vehicle Use in Zhongshan Metropolitan Area, China," Sustainability, MDPI, vol. 6(8), pages 1-21, August.
    3. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    4. Wheatley, Daniel, 2014. "Travel-to-work and subjective well-being: A study of UK dual career households," Journal of Transport Geography, Elsevier, vol. 39(C), pages 187-196.
    5. Sigrun Beige & Kay Axhausen, 2012. "Interdependencies between turning points in life and long-term mobility decisions," Transportation, Springer, vol. 39(4), pages 857-872, July.
    6. Wells, Peter & Lin, Xiao, 2015. "Spontaneous emergence versus technology management in sustainable mobility transitions: Electric bicycles in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 371-383.
    7. Bhat, Chandra R., 1998. "Accommodating flexible substitution patterns in multi-dimensional choice modeling: formulation and application to travel mode and departure time choice," Transportation Research Part B: Methodological, Elsevier, vol. 32(7), pages 455-466, September.
    8. McLaren, Arlene Tigar, 2016. "Families and transportation: Moving towards multimodality and altermobility?," Journal of Transport Geography, Elsevier, vol. 51(C), pages 218-225.
    9. Shen, Qing & Chen, Peng & Pan, Haixiao, 2016. "Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 31-44.
    10. Delbosc, Alexa & Nakanishi, Hitomi, 2017. "A life course perspective on the travel of Australian millennials," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 319-336.
    11. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    12. Yibin Ao & Chuan Chen & Dujuan Yang & Yan Wang, 2018. "Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    13. Hensher, David A. & Rose, John M., 2007. "Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 428-443, June.
    14. Joachim Scheiner & Christian Holz-Rau, 2007. "Travel mode choice: affected by objective or subjective determinants?," Transportation, Springer, vol. 34(4), pages 487-511, July.
    15. Nolan, Anne, 2010. "A dynamic analysis of household car ownership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(6), pages 446-455, July.
    16. Jonathan Weinert & Chaktan Ma & Christopher Cherry, 2007. "The transition to electric bikes in China: history and key reasons for rapid growth," Transportation, Springer, vol. 34(3), pages 301-318, May.
    17. Jie Ma & Xin Ye & Cheng Shi, 2018. "Development of Multivariate Ordered Probit Model to Understand Household Vehicle Ownership Behavior in Xiaoshan District of Hangzhou, China," Sustainability, MDPI, vol. 10(10), pages 1-17, October.
    18. Ron Buliung & Matthew Roorda & Tarmo Remmel, 2008. "Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel-Activity Panel Survey (TTAPS)," Transportation, Springer, vol. 35(6), pages 697-722, November.
    19. Bhat, Chandra R., 1996. "A generalized multiple durations proportional hazard model with an application to activity behavior during the evening work-to-home commute," Transportation Research Part B: Methodological, Elsevier, vol. 30(6), pages 465-480, December.
    20. Laura McCarthy & Alexa Delbosc & Graham Currie & Andrew Molloy, 2017. "Factors influencing travel mode choice among families with young children (aged 0–4): a review of the literature," Transport Reviews, Taylor & Francis Journals, vol. 37(6), pages 767-781, November.
    21. Kang, Hejun & Scott, Darren M., 2010. "Exploring day-to-day variability in time use for household members," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 609-619, October.
    22. Giuliano, Genevieve & Dargay, Joyce, 2006. "Car ownership, travel and land use: a comparison of the US and Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 106-124, February.
    23. Elisabetta Cherchi & Cinzia Cirillo, 2014. "Understanding variability, habit and the effect of long period activity plan in modal choices: a day to day, week to week analysis on panel data," Transportation, Springer, vol. 41(6), pages 1245-1262, November.
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