IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt53s553tn.html
   My bibliography  Save this paper

How do people respond to congestion mitigation policies? A multivariate probit model of the individual consideration of three travel-related strategy bundles

Author

Listed:
  • Choo, Sangho
  • Mokhtarian, Patricia L

Abstract

This study explores the relationships between adoption and consideration of three travel-related strategy bundles (travel maintaining/increasing, travel reducing, and major location/lifestyle change), linking them to a variety of explanatory variables. The data for this study are the responses to a fourteen-page survey returned by nearly 1,300 commuting workers living in three distinct San Francisco Bay area neighborhoods in May 1998. We first identified patterns of adoption and consideration among the bundles, using pairwise correlation tests. The test results indicate that those who have adopted coping strategies continue to seek for improvements across the spectrum of generalized cost, but perhaps most often repeating the consideration of a previously-adopted bundle. Furthermore, we developed a multivariate probit model for individuals’ simultaneous consideration of the three bundles. It is found that in addition to the previous adoption of the bundles, qualitative and quantitative Mobility-related variables, Travel Attitudes, Personality, Lifestyle, Travel Liking, and Sociodemographics significantly affect individual consideration of the strategy bundles. Overall, the results of this study give policy makers and planners insight into understanding the dynamic nature of individuals’ responses to travel-related strategies, as well as differences between the responses to congestion that are assumed by policy makers and those that are actually adopted by individuals.

Suggested Citation

  • Choo, Sangho & Mokhtarian, Patricia L, 2008. "How do people respond to congestion mitigation policies? A multivariate probit model of the individual consideration of three travel-related strategy bundles," University of California Transportation Center, Working Papers qt53s553tn, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt53s553tn
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/53s553tn.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David T. Ory & Patricia L. Mokhtarian & Lothlorien S. Redmond & Ilan Salomon & Gustavo O. Collantes & Sangho Choo, 2004. "When is Commuting Desirable to the Individual?," Growth and Change, Wiley Blackwell, vol. 35(3), pages 334-359, September.
    2. Oude Lansink, Alfons & van den Berg, Mirella & Huirne, Ruud, 2003. "Analysis of strategic planning of Dutch pig farmers using a multivariate probit model," Agricultural Systems, Elsevier, vol. 78(1), pages 73-84, October.
    3. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "How do individuals adapt their personal travel? A conceptual exploration of the consideration of travel-related strategies," Transport Policy, Elsevier, vol. 12(3), pages 199-206, May.
    4. Noland, Robert B., 2001. "Relationships between highway capacity and induced vehicle travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 47-72, January.
    5. Sangho Choo & Gustavo Collantes & Patricia Mokhtarian, 2005. "Wanting to travel, more or less: Exploring the determinants of the deficit and surfeit of personal travel," Transportation, Springer, vol. 32(2), pages 135-164, March.
    6. Salomon, Ilan & Mokhtarian, Patricia L., 1997. "Coping with Congestion: Understanding the Gap Between Policy Assumptions and Behavior," University of California Transportation Center, Working Papers qt4bh3b670, University of California Transportation Center.
    7. Stopher, Peter R., 2004. "Reducing road congestion: a reality check," Transport Policy, Elsevier, vol. 11(2), pages 117-131, April.
    8. Giuliano, Genevieve & Small, Kenneth A., 1995. "Alternative Strategies for Coping with Traffic Congestion," University of California Transportation Center, Working Papers qt8nw1480v, University of California Transportation Center.
    9. David Levinson & Ajay Kumar, 1994. "The Rational Locator: Why Travel Times Have Remained Stable," Working Papers 199402, University of Minnesota: Nexus Research Group.
    10. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "How do individuals adapt their personal travel? Objective and subjective influences on the consideration of travel-related strategies for San Francisco Bay Area commuters," Transport Policy, Elsevier, vol. 12(4), pages 291-302, July.
    11. Mokhtarian, Patricia L. & Raney, Elizabeth A. & Salomon, Ilan, 1997. "Behavioral response to congestion: identifying patterns and socio-economic differences in adoption," Transport Policy, Elsevier, vol. 4(3), pages 147-160, July.
    12. Choo, Sangho & Mokhtarian, Patricia L, 2004. "Modeling the Individual Consideration of Travel-Related Strategy Bundles," Institute of Transportation Studies, Working Paper Series qt3123v46c, Institute of Transportation Studies, UC Davis.
    13. Patricia L. Mokhtarian, 2002. "Telecommunications and Travel: The Case for Complementarity," Journal of Industrial Ecology, Yale University, vol. 6(2), pages 43-57, April.
    14. Rouwendal, Jan & Verhoef, Erik T., 2006. "Basic economic principles of road pricing: From theory to applications," Transport Policy, Elsevier, vol. 13(2), pages 106-114, March.
    15. Arentze, Theo & Hofman, Frank & Timmermans, Harry, 2004. "Predicting multi-faceted activity-travel adjustment strategies in response to possible congestion pricing scenarios using an Internet-based stated adaptation experiment," Transport Policy, Elsevier, vol. 11(1), pages 31-41, January.
    16. Taylor, Brian D., 2002. "Rethinking Traffic Congestion," University of California Transportation Center, Working Papers qt2fb4t8wd, University of California Transportation Center.
    17. Michael J. Clay * & Patricia L. Mokhtarian, 2004. "Personal travel management: the adoption and consideration of travel-related strategies," Transportation Planning and Technology, Taylor & Francis Journals, vol. 27(3), pages 181-209, June.
    18. Lyons, Glenn & Urry, John, 2005. "Travel time use in the information age," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 257-276.
    19. Gärling, Tommy & Eek, Daniel & Loukopoulos, Peter & Fujii, Satoshi & Johansson-Stenman, Olof & Kitamura, Ryuichi & Pendyala, Ram & Vilhelmson, Bertil, 2002. "A conceptual analysis of the impact of travel demand management on private car use," Transport Policy, Elsevier, vol. 9(1), pages 59-70, January.
    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. Watanabe, Hajime & Maruyama, Takuya, 2023. "A Bayesian instrumental variable model for multinomial choice with correlated alternatives," Journal of choice modelling, Elsevier, vol. 46(C).
    2. Zhang, Zheng & Fujii, Hidemichi & Managi, Shunsuke, 2014. "How does Commuting Behavior Change Due to Incentives? An Empirical Study of the Beijing Subway System," MPRA Paper 54691, University Library of Munich, Germany.
    3. Auld, Joshua & Mohammadian, Abolfazl(Kouros), 2012. "Activity planning processes in the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1386-1403.
    4. Zhou, Fan & Zheng, Zuduo & Whitehead, Jake & Perrons, Robert K. & Washington, Simon & Page, Lionel, 2020. "Examining the impact of car-sharing on private vehicle ownership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 322-341.
    5. M Said & A Biehl & A Stathopoulos, 2020. "Interdependence in active mobility adoption: Joint modelling and motivational spill-over in walking, cycling and bike-sharing," Papers 2006.16920, arXiv.org, revised Oct 2020.
    6. Punyabeet Sarangi & M. Manoj, 2022. "Analysis of activity participation and time use decisions of partners: the context of low-and high-income households," Transportation, Springer, vol. 49(3), pages 1017-1058, June.
    7. Milioti, Christina P. & Karlaftis, Matthew G. & Akkogiounoglou, Eleni, 2015. "Traveler perceptions and airline choice: A multivariate probit approach," Journal of Air Transport Management, Elsevier, vol. 49(C), pages 46-52.
    8. Chen, Peng & Yang, Xiankui, 2023. "Revisit employer-based travel demand management: A longitudinal analysis," Transport Policy, Elsevier, vol. 131(C), pages 22-31.
    9. Russell Triplett & Chiradip Chatterjee & Christopher K. Johnson & Parvez Ahmed, 2019. "Perceptions of Quality and Household Water Usage: A Representative Study in Jacksonville, FL," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(2), pages 195-208, May.
    10. Morrison, Geoffrey M. & Lin Lawell, C.-Y. Cynthia, 2016. "Does employment growth increase travel time to work?: An empirical analysis using military troop movements," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 180-197.
    11. José Holguín-Veras & Iván Sánchez-Díaz & Benjamin Reim, 2016. "ETC adoption, time-of-travel choice, and comprehensive policies to enhance time-of-day pricing: a stated preference investigation," Transportation, Springer, vol. 43(2), pages 273-299, March.
    12. Oparinde, Adewale & Hodge, Ian, 2011. "Building livelihood resilience: a case study of factors affecting farm households’ adoption of coping and adaptive strategies in rural Nigeria," MPRA Paper 39162, University Library of Munich, Germany.
    13. Taff, Derrick & Newman, Peter & Pettebone, David & White, Dave D. & Lawson, Steven R. & Monz, Christopher & Vagias, Wade M., 2013. "Dimensions of alternative transportation experience in Yosemite and Rocky Mountain National Parks," Journal of Transport Geography, Elsevier, vol. 30(C), pages 37-46.

    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. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "How do individuals adapt their personal travel? A conceptual exploration of the consideration of travel-related strategies," Transport Policy, Elsevier, vol. 12(3), pages 199-206, May.
    2. Choo, Sangho & Mokhtarian, Patricia L, 2004. "Modeling the Individual Consideration of Travel-Related Strategy Bundles," Institute of Transportation Studies, Working Paper Series qt3123v46c, Institute of Transportation Studies, UC Davis.
    3. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "How do individuals adapt their personal travel? Objective and subjective influences on the consideration of travel-related strategies for San Francisco Bay Area commuters," Transport Policy, Elsevier, vol. 12(4), pages 291-302, July.
    4. Carlton Basmajian, 2010. "“Turn on the radio, bust out a song”: the experience of driving to work," Transportation, Springer, vol. 37(1), pages 59-84, January.
    5. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 52-64.
    6. Natalia Presman & Arie Arnon, 2006. "Commuting patterns in Israel 1991-2004," Bank of Israel Working Papers 2006.04, Bank of Israel.
    7. Cristina Pronello & Jean-Baptiste Gaborieau, 2018. "Engaging in Pro-Environment Travel Behaviour Research from a Psycho-Social Perspective: A Review of Behavioural Variables and Theories," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    8. Irene Casas & Mei‐Po Kwan, 2007. "The Impact of Real‐Time Information on Choices During the Commute Trip: Evidence from a Travel Simulator," Growth and Change, Wiley Blackwell, vol. 38(4), pages 523-543, December.
    9. Páez, Antonio & Whalen, Kate, 2010. "Enjoyment of commute: A comparison of different transportation modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(7), pages 537-549, August.
    10. Natalia Presman & Arie Arnon, 2000. "Commuting Patterns in Israel," Regional and Urban Modeling 283600076, EcoMod.
    11. Le, Huyen T.K. & Buehler, Ralph & Fan, Yingling & Hankey, Steve, 2020. "Expanding the positive utility of travel through weeklong tracking: Within-person and multi-environment variability of ideal travel time," Journal of Transport Geography, Elsevier, vol. 84(C).
    12. Michael J. Clay * & Patricia L. Mokhtarian, 2004. "Personal travel management: the adoption and consideration of travel-related strategies," Transportation Planning and Technology, Taylor & Francis Journals, vol. 27(3), pages 181-209, June.
    13. Mokhtarian, Patricia L & Ory, David T, 2005. "Don't Work, Work at Home, or Commute? Discrete Choice Models of the Decision for San Francisco Bay Area Residents," Institute of Transportation Studies, Working Paper Series qt5cs0q85s, Institute of Transportation Studies, UC Davis.
    14. Whalen, Kate E. & Páez, Antonio & Carrasco, Juan A., 2013. "Mode choice of university students commuting to school and the role of active travel," Journal of Transport Geography, Elsevier, vol. 31(C), pages 132-142.
    15. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Activity-travel adaptations in response to a tradable driving credits scheme," Transport Policy, Elsevier, vol. 72(C), pages 79-88.
    16. Ory, David T. & Mokhtarian, Patricia L., 2005. "Modeling the Joint Labor-Commute Engagement Decisions of San Francisco Bay Area Residents," University of California Transportation Center, Working Papers qt7600m6qv, University of California Transportation Center.
    17. Patricia Mokhtarian & Francis Papon & Matthieu Goulard & Marco Diana, 2015. "What makes travel pleasant and/or tiring? An investigation based on the French National Travel Survey," Transportation, Springer, vol. 42(6), pages 1103-1128, November.
    18. Taylor, Brian & Osman, Taner & Thomas, Trevor & Mondschein, Andrew, 2016. "Not So Fast: A Study of Traffic Delays, Access, and Economic Activity in the San Francisco Bay Area," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9qf2481r, Institute of Transportation Studies, UC Berkeley.
    19. van Wee, Bert & Bohte, Wendy & Molin, Eric & Arentze, Theo & Liao, Feixiong, 2014. "Policies for synchronization in the transport–land-use system," Transport Policy, Elsevier, vol. 31(C), pages 1-9.
    20. Aguiléra, Anne & Guillot, Caroline & Rallet, Alain, 2012. "Mobile ICTs and physical mobility: Review and research agenda," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 664-672.

    More about this item

    Keywords

    Engineering;

    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:cdl:uctcwp:qt53s553tn. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    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.