IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v126y2019icp342-359.html
   My bibliography  Save this article

Lifestyles, residential location, and transport mode use: A hierarchical latent class choice model

Author

Listed:
  • Ardeshiri, Ali
  • Vij, Akshay

Abstract

This study develops a hierarchical latent class choice model that captures the concurrent influence of lifestyles on household residential neighbourhood location and individual transport mode use decisions. The model is empirically evaluated using data from the 2010–12 California Household Travel Survey. The model identifies six household-level classes that differ in terms of their preferences for different neighbourhood attributes when deciding where to live and their household characteristics. Coincidentally, the model also identifies six individual-level classes that differ in terms of the travel modes that they consider when deciding how to travel, their sensitivity to different level-of-service attributes, and their individual characteristics. Household preferences for neighbourhood types and individual preferences for travel modes show expected patterns of correlation. In general, households that prefer to live in suburban neighbourhoods are more likely to consist of individuals that are car-dependent, and households that prefer to live in inner-city neighbourhoods are more likely to consist of individuals that are multimodal. However, our analysis also reveals interesting patterns of deviation. For example, high-income migrant households and median-income white households display strong preferences for suburban neighbourhoods, but individuals belonging to these households also have a high likelihood of being multimodal, with a strong preference for bicycling. We discuss how these patterns of correlation can be used to inform transport and land use policy in novel ways.

Suggested Citation

  • Ardeshiri, Ali & Vij, Akshay, 2019. "Lifestyles, residential location, and transport mode use: A hierarchical latent class choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 342-359.
    • Handle: RePEc:eee:transa:v:126:y:2019:i:c:p:342-359
    DOI: 10.1016/j.tra.2019.06.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856418312126
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2019.06.016?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. Simma, A. & Axhausen, K. W., 2001. "Structures of commitment in mode use: a comparison of Switzerland, Germany and Great Britain," Transport Policy, Elsevier, vol. 8(4), pages 279-288, October.
    2. Scheiner, Joachim, 2010. "Social inequalities in travel behaviour: trip distances in the context of residential self-selection and lifestyles," Journal of Transport Geography, Elsevier, vol. 18(6), pages 679-690.
    3. Marlon Boarnet, 2011. "A Broader Context for Land Use and Travel Behavior, and a Research Agenda," Journal of the American Planning Association, Taylor & Francis Journals, vol. 77(3), pages 197-213.
    4. Susan Handy, 2005. "Smart Growth and the Transportation-Land Use Connection: What Does the Research Tell Us?," International Regional Science Review, , vol. 28(2), pages 146-167, April.
    5. McFadden, Daniel, 1980. "Econometric Models for Probabilistic Choice among Products," The Journal of Business, University of Chicago Press, vol. 53(3), pages 13-29, July.
    6. Ryuichi Kitamura, 2009. "Life-style and travel demand," Transportation, Springer, vol. 36(6), pages 679-710, November.
    7. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "Normative beliefs and modality styles: a latent class and latent variable model of travel behaviour," Transportation, Springer, vol. 45(3), pages 789-825, May.
    8. Marco Diana & Patricia Mokhtarian, 2009. "Grouping travelers on the basis of their different car and transit levels of use," Transportation, Springer, vol. 36(4), pages 455-467, July.
    9. Rao, Vithala R & Steckel, Joel H, 1991. "A Polarization Model for Describing Group Preferences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(1), pages 108-118, June.
    10. Cervero, Robert, 1994. "Transit Villages: From Idea to Implementation," University of California Transportation Center, Working Papers qt3f8600n9, University of California Transportation Center.
    11. 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.
    12. Vij, Akshay & Gorripaty, Sreeta & Walker, Joan L., 2017. "From trend spotting to trend ’splaining: Understanding modal preference shifts in the San Francisco Bay Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 238-258.
    13. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7nq9p0cv, University of California Transportation Center.
    14. Kuhnimhof, Tobias & Buehler, Ralph & Wirtz, Matthias & Kalinowska, Dominika, 2012. "Travel trends among young adults in Germany: increasing multimodality and declining car use for men," Journal of Transport Geography, Elsevier, vol. 24(C), pages 443-450.
    15. Menasco, Michael B & Curry, David J, 1989. "Utility and Choice: An Empirical Study of Wife/Husband Decision Makin g," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(1), pages 87-97, June.
    16. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7ng2z24q, University of California Transportation Center.
    17. Hensher, David A. & Stanley, John, 2008. "Transacting under a performance-based contract: The role of negotiation and competitive tendering," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(9), pages 1143-1151, November.
    18. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
    19. Brett Smith & Doina Olaru, 2013. "Lifecycle Stages and Residential Location Choice in the Presence of Latent Preference Heterogeneity," Environment and Planning A, , vol. 45(10), pages 2495-2514, October.
    20. Chenfeng Xiong & Xiqun Chen & Xiang He & Wei Guo & Lei Zhang, 2015. "The analysis of dynamic travel mode choice: a heterogeneous hidden Markov approach," Transportation, Springer, vol. 42(6), pages 985-1002, November.
    21. Zhang, Junyi, 2014. "Revisiting residential self-selection issues: A life-oriented approach," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 29-45.
    22. Giuliano, Genevieve, 1991. "Is Jobs-Housing Balance a Transportation Issue?," University of California Transportation Center, Working Papers qt4874r4hg, University of California Transportation Center.
    23. Bagley, Michael N. & Mokhtarian, Patricia L., 1999. "The Role of Lifestyle and Attitudinal Characteristics in Residential Neighborhood Choice," University of California Transportation Center, Working Papers qt74w7537j, University of California Transportation Center.
    24. I Salomon & M Ben-Akiva, 1983. "The Use of the Life-Style Concept in Travel Demand Models," Environment and Planning A, , vol. 15(5), pages 623-638, May.
    25. Cao, Xinyu (Jason) & Xu, Zhiyi & Fan, Yingling, 2010. "Exploring the connections among residential location, self-selection, and driving: Propensity score matching with multiple treatments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 797-805, December.
    26. Rose, J. & Hensher, D. A., 2004. "Modelling agent interdependency in group decision making," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(1), pages 63-79, January.
    27. Joan Walker & Jieping Li, 2007. "Latent lifestyle preferences and household location decisions," Journal of Geographical Systems, Springer, vol. 9(1), pages 77-101, April.
    28. Felix Haifeng Liao & Steven Farber & Reid Ewing, 2015. "Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 314-337, February.
    29. Timo Ohnmacht & Konrad Götz & Helmut Schad, 2009. "Leisure mobility styles in Swiss conurbations: construction and empirical analysis," Transportation, Springer, vol. 36(2), pages 243-265, March.
    30. Vij, Akshay & Carrel, André & Walker, Joan L., 2013. "Incorporating the influence of latent modal preferences on travel mode choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 164-178.
    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. Pot, Felix Johan & Koster, Sierdjan & Tillema, Taede, 2023. "Perceived accessibility and residential self-selection in the Netherlands," Journal of Transport Geography, Elsevier, vol. 108(C).
    2. Xuemei Fu, 2021. "How habit moderates the commute mode decision process: integration of the theory of planned behavior and latent class choice model," Transportation, Springer, vol. 48(5), pages 2681-2707, October.
    3. Sahu, Saransh & Verma, Ashish, 2022. "Quantifying wider economic impacts of high-speed connectivity and accessibility: The case of the Karnataka high-speed rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 141-155.
    4. Gao, Ya & Pan, Haixiao & Xie, Zhilin & Habib, Khandker Nurul, 2023. "Understanding patients heterogeneity in healthcare travel and hospital choice - A latent class analysis with covariates," Journal of Transport Geography, Elsevier, vol. 110(C).
    5. Ardeshiri, Ali & Safarighouzhdi, Farshid & Hossein Rashidi, Taha, 2021. "Measuring willingness to pay for shared parking," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 186-202.
    6. León, Carmelo J. & Hernández-Alemán, Anastasia & Fernández-Hernández, Carlos & Araña, Jorge E., 2023. "Are rural residents willing to trade-off higher noise for lower air pollution? Evidence from revealed preferences," Ecological Economics, Elsevier, vol. 207(C).
    7. Lu, Ying & Prato, Carlo G. & Sipe, Neil & Kimpton, Anthony & Corcoran, Jonathan, 2022. "The role of household modality style in first and last mile travel mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 95-109.
    8. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    9. Xue, Fei & Yao, Enjian & Jin, Fanglei, 2020. "Exploring residential relocation behavior for families with workers and students; a study from Beijing, China," Journal of Transport Geography, Elsevier, vol. 89(C).
    10. Mohammed M. Gomaa, 2023. "Macro-Level Factors Shaping Residential Location Choices: Examining the Impacts of Density and Land-Use Mix," Land, MDPI, vol. 12(4), pages 1-18, March.
    11. Lu, Ying & Prato, Carlo G. & Corcoran, Jonathan, 2021. "Disentangling the behavioural side of the first and last mile problem: the role of modality style and the built environment," Journal of Transport Geography, Elsevier, vol. 91(C).
    12. Wang, Lisha & Miwa, Tomio & Jiang, Meilan & Morikawa, Takayuki, 2021. "Heterogeneous residential distribution changes and spillover effects by railway projects: The case study of Nagoya, Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 145-163.
    13. Ardeshiri, Ali & Rashidi, Taha Hossein, 2020. "Willingness to pay for fast charging station for electric vehicles with limited market penetration making," Energy Policy, Elsevier, vol. 147(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. Ali Ardeshiri & Akshay Vij, 2019. "A lifestyle-based model of household neighbourhood location and individual travel mode choice behaviours," Papers 1902.01986, arXiv.org, revised Nov 2019.
    2. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "Normative beliefs and modality styles: a latent class and latent variable model of travel behaviour," Transportation, Springer, vol. 45(3), pages 789-825, May.
    3. Carlo Giacomo Prato & Katrín Halldórsdóttir & Otto Anker Nielsen, 2017. "Latent lifestyle and mode choice decisions when travelling short distances," Transportation, Springer, vol. 44(6), pages 1343-1363, November.
    4. Vij, Akshay & Gorripaty, Sreeta & Walker, Joan L., 2017. "From trend spotting to trend ’splaining: Understanding modal preference shifts in the San Francisco Bay Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 238-258.
    5. Lu, Ying & Prato, Carlo G. & Corcoran, Jonathan, 2021. "Disentangling the behavioural side of the first and last mile problem: the role of modality style and the built environment," Journal of Transport Geography, Elsevier, vol. 91(C).
    6. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    7. Große, Juliane & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Fertner, Christian, 2018. "Exploring the role of daily “modality styles” and urban structure in holidays and longer weekend trips: Travel behaviour of urban and peri-urban residents in Greater Copenhagen," Journal of Transport Geography, Elsevier, vol. 69(C), pages 138-149.
    8. Lu, Ying & Prato, Carlo G. & Sipe, Neil & Kimpton, Anthony & Corcoran, Jonathan, 2022. "The role of household modality style in first and last mile travel mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 95-109.
    9. Xuemei Fu, 2021. "How habit moderates the commute mode decision process: integration of the theory of planned behavior and latent class choice model," Transportation, Springer, vol. 48(5), pages 2681-2707, October.
    10. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    11. Keskisaari, Ville & Ottelin, Juudit & Heinonen, Jukka, 2017. "Greenhouse gas impacts of different modality style classes using latent class travel behavior model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 155-164.
    12. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    13. Scheiner, Joachim, 2018. "Transport costs seen through the lens of residential self-selection and mobility biographies," Transport Policy, Elsevier, vol. 65(C), pages 126-136.
    14. Kim, Sung Hoo & Mokhtarian, Patricia L., 2018. "Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modelin," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 130-150.
    15. Klinger, Thomas, 2017. "Moving from monomodality to multimodality? Changes in mode choice of new residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 221-237.
    16. Nash, Sean & Mitra, Raktim, 2019. "University students' transportation patterns, and the role of neighbourhood types and attitudes," Journal of Transport Geography, Elsevier, vol. 76(C), pages 200-211.
    17. Molin, Eric & Mokhtarian, Patricia & Kroesen, Maarten, 2016. "Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 14-29.
    18. Zhang, Junyi, 2014. "Revisiting residential self-selection issues: A life-oriented approach," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 29-45.
    19. Alemi, Farzad & Circella, Giovanni & Mokhtarian, Patricia & Handy, Susan, 2018. "Exploring the latent constructs behind the use of ridehailing in California," Journal of choice modelling, Elsevier, vol. 29(C), pages 47-62.
    20. Vij, Akshay & Souza, Flavio F. & Barrie, Helen & Anilan, V. & Sarmiento, Sergio & Washington, Lynette, 2023. "Employee preferences for working from home in Australia," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 782-800.

    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:transa:v:126:y:2019:i:c:p:342-359. 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/547/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.