IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v66y2017icp2-11.html
   My bibliography  Save this article

Quantifying the explanatory power of mobility-related attributes in explaining vehicle ownership decisions

Author

Listed:
  • Astegiano, Paola
  • Akinc, Deniz
  • Himpe, Willem
  • Tampère, Chris M.J.
  • Vandebroek, Martina

Abstract

This paper shows the explanatory power of mobility-related attributes in explaining vehicle ownership decisions. In contrast with the state of the art, in which socio-demographic information is usually employed to explain vehicle ownership decisions, we highlight how the quality of travel offered by a given mode of transportation in serving one's activity pattern influences the ownership of a mode of transport. To implement this approach, we employ a two-level model: first, we estimate the mode choice for performing a set of activities, and second, we use the results of the mode choice calibration to estimate an ownership model. We also show the need to estimate this two-step model, originally modelled as a two-step multinomial logit, with more complex logit structures. With the aim to consider all possible correlations included in each step, a Mixed Logit model and a Cross-nested logit model are employed. Finally, the influence of the socio-demographic information on the quality of travel offered by a given transport mode in performing a particular activity is discussed.

Suggested Citation

  • Astegiano, Paola & Akinc, Deniz & Himpe, Willem & Tampère, Chris M.J. & Vandebroek, Martina, 2017. "Quantifying the explanatory power of mobility-related attributes in explaining vehicle ownership decisions," Research in Transportation Economics, Elsevier, vol. 66(C), pages 2-11.
    • Handle: RePEc:eee:retrec:v:66:y:2017:i:c:p:2-11
    DOI: 10.1016/j.retrec.2017.07.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885915301244
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2017.07.007?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. Abbe, E. & Bierlaire, M. & Toledo, T., 2007. "Normalization and correlation of cross-nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 795-808, August.
    2. Yuhong Yang, 2005. "Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation," Biometrika, Biometrika Trust, vol. 92(4), pages 937-950, December.
    3. Ennio Cascetta, 2009. "Transportation Systems Analysis," Springer Optimization and Its Applications, Springer, number 978-0-387-75857-2, September.
    4. Christopher Zegras, 2010. "The Built Environment and Motor Vehicle Ownership and Use: Evidence from Santiago de Chile," Urban Studies, Urban Studies Journal Limited, vol. 47(8), pages 1793-1817, July.
    5. 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.
    6. 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.
    7. Susan Handy & Yan Xing & Theodore Buehler, 2010. "Factors associated with bicycle ownership and use: a study of six small U.S. cities," Transportation, Springer, vol. 37(6), pages 967-985, November.
    8. Václav Plevka & Pieter Segaert & Chris M. J. Tampère & Mia Hubert, 2016. "Analysis of travel activity determinants using robust statistics," Transportation, Springer, vol. 43(6), pages 979-996, November.
    9. 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.
    10. Darren Scott & Kay Axhausen, 2006. "Household Mobility Tool Ownership: Modeling Interactions between Cars and Season Tickets," Transportation, Springer, vol. 33(4), pages 311-328, July.
    11. Kenneth Train, 1980. "A Structured Logit Model of Auto Ownership and Mode Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(2), pages 357-370.
    12. Cristian Domarchi & Alejandro Tudela & Angélica González, 2008. "Effect of attitudes, habit and affective appraisal on mode choice: an application to university workers," Transportation, Springer, vol. 35(5), pages 585-599, August.
    13. Dissanayake, Dilum & Morikawa, Takayuki, 2010. "Investigating household vehicle ownership, mode choice and trip sharing decisions using a combined revealed preference/stated preference Nested Logit model: case study in Bangkok Metropolitan Region," Journal of Transport Geography, Elsevier, vol. 18(3), pages 402-410.
    14. Baltas, George & Saridakis, Charalampos, 2013. "An empirical investigation of the impact of behavioural and psychographic consumer characteristics on car preferences: An integrated model of car type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 92-110.
    15. Le Vine, Scott & Lee-Gosselin, Martin & Sivakumar, Aruna & Polak, John, 2013. "A new concept of accessibility to personal activities: development of theory and application to an empirical study of mobility resource holdings," Journal of Transport Geography, Elsevier, vol. 31(C), pages 1-10.
    16. 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)

    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. 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.
    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. Groth, Sören, 2019. "Multimodal divide: Reproduction of transport poverty in smart mobility trends," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 56-71.
    4. Jochem, Patrick & Lisson, Christopher & Khanna, Arpita Asha, 2021. "The role of coordination costs in mode choice decisions: A case study of German cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 31-44.
    5. Zhou, Heng & Norman, Richard & Xia, Jianhong(Cecilia) & Hughes, Brett & Kelobonye, Keone & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 187-205.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Ton, Danique & Bekhor, Shlomo & Cats, Oded & Duives, Dorine C. & Hoogendoorn-Lanser, Sascha & Hoogendoorn, Serge P., 2020. "The experienced mode choice set and its determinants: Commuting trips in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 744-758.
    12. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Comparisons of observed and unobserved parameter heterogeneity in modeling vehicle-miles driven," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    13. 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.
    14. Kim, Sung Hoo & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "Identifying latent mode-use propensity segments in an all-AV era," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 192-207.
    15. Saxena, N. & Rashidi, T.H. & Dixit, V.V. & Waller, S.T., 2019. "Modelling the route choice behaviour under stop-&-go traffic for different car driver segments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 62-72.
    16. 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.
    17. Li, Zili & Washington, Simon P. & Zheng, Zuduo & Prato, Carlo G., 2023. "A Bayesian hierarchical approach to the joint modelling of Revealed and stated choices," Journal of choice modelling, Elsevier, vol. 47(C).
    18. Chenfeng Xiong & Lei Zhang, 2017. "Dynamic travel mode searching and switching analysis considering hidden model preference and behavioral decision processes," Transportation, Springer, vol. 44(3), pages 511-532, May.
    19. 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.
    20. 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.

    More about this item

    Keywords

    Mobility-related attributes; Vehicle ownership; Mode choice; Logit; Mixed logit; Cross-nested logit; Accessibility; Mobility resources; Travel needs; Discrete choice analysis; Activity pattern;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other

    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:retrec:v:66:y:2017:i:c:p:2-11. 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/620614/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.