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How Personal Accessibility and Frequency of Travel Affect Ownership Decisions on Mobility Resources

Author

Listed:
  • Vaclav Plevka

    (L-Mob Leuven Mobility Research Centre, KU Leuven, B-3000 Leuven, Belgium)

  • Paola Astegiano

    (L-Mob Leuven Mobility Research Centre, KU Leuven, B-3000 Leuven, Belgium)

  • Willem Himpe

    (L-Mob Leuven Mobility Research Centre, KU Leuven, B-3000 Leuven, Belgium)

  • Chris Tampère

    (L-Mob Leuven Mobility Research Centre, KU Leuven, B-3000 Leuven, Belgium)

  • Martina Vandebroek

    (Faculty of Economics and Business, KU Leuven, Naamsestraat 69, 3000 Leuven, Belgium
    Leuven Statistics Research Centre, KU Leuven, Celestijnenlaan 200B, 3001 Leuven, Belgium)

Abstract

This paper presents a mobility-resource ownership model. The model captures inter-related personal mobility decisions: which transport mode (out of those available to a decision-maker) to use for a particular trip and which mobility resources (e.g., car, bicycle, transit season ticket or a combination) should the decision-maker own to enable the most “appropriate” set of transport modes. Importantly, the mobility decisions are not evaluated only for a single trip or a single day. In fact, for each decision-maker, an entire set of trips, observed over multiple days, is evaluated. We call this personal accessibility to travel. We present a two-step discrete choice model that includes both mode choice and ownership decisions. The model is estimated based on household travel survey data from Germany. This paper also investigates the simulation of travel times for non-chosen modes that are required as an input. The estimation results show significant effects of the personal accessibility and travel frequency on mobility-resource ownership decisions. To further validate the estimation, the forecasting and sensitivity analysis of the model for different scenarios is evaluated. The proposed model offers an efficient solution to situations when the impact of transport sustainability measures on mobility behaviour needs to be plausibly predicted.

Suggested Citation

  • Vaclav Plevka & Paola Astegiano & Willem Himpe & Chris Tampère & Martina Vandebroek, 2018. "How Personal Accessibility and Frequency of Travel Affect Ownership Decisions on Mobility Resources," Sustainability, MDPI, vol. 10(4), pages 1-25, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:912-:d:137425
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    References listed on IDEAS

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    4. Linn, Joshua & Yang, Jun & Liu, Antung A. & Qin, Ping, 2016. "The Effect of Owning a Car on Travel Behavior: Evidence from the Beijing License Plate Lottery," RFF Working Paper Series dp-16-18, Resources for the Future.
    5. 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.
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    Cited by:

    1. Myung Ja Kim & C. Michael Hall & Mark Bonn, 2021. "Factors Affecting Pandemic Biosecurity Behaviors of International Travelers: Moderating Roles of Gender, Age, and Travel Frequency," Sustainability, MDPI, vol. 13(21), pages 1-17, November.
    2. Yifei Xie & Mazen Danaf & Carlos Lima Azevedo & Arun Prakash Akkinepally & Bilge Atasoy & Kyungsoo Jeong & Ravi Seshadri & Moshe Ben-Akiva, 2019. "Behavioral modeling of on-demand mobility services: general framework and application to sustainable travel incentives," Transportation, Springer, vol. 46(6), pages 2017-2039, December.

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