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Interdependence in active mobility adoption: Joint modelling and motivational spill-over in walking, cycling and bike-sharing

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  • M Said
  • A Biehl
  • A Stathopoulos

Abstract

Active mobility offers an array of physical, emotional, and social wellbeing benefits. However, with the proliferation of the sharing economy, new nonmotorized means of transport are entering the fold, complementing some existing mobility options while competing with others. The purpose of this research study is to investigate the adoption of three active travel modes; namely walking, cycling and bikesharing, in a joint modeling framework. The analysis is based on an adaptation of the stages of change framework, which originates from the health behavior sciences. Multivariate ordered probit modeling drawing on U.S. survey data provides well-needed insights into individuals preparedness to adopt multiple active modes as a function of personal, neighborhood and psychosocial factors. The research suggests three important findings. 1) The joint model structure confirms interdependence among different active mobility choices. The strongest complementarity is found for walking and cycling adoption. 2) Each mode has a distinctive adoption path with either three or four separate stages. We discuss the implications of derived stage-thresholds and plot adoption contours for selected scenarios. 3) Psychological and neighborhood variables generate more coupling among active modes than individual and household factors. Specifically, identifying strongly with active mobility aspirations, experiences with multimodal travel, possessing better navigational skills, along with supportive local community norms are the factors that appear to drive the joint adoption decisions. This study contributes to the understanding of how decisions within the same functional domain are related and help to design policies that promote active mobility by identifying positive spillovers and joint determinants.

Suggested Citation

  • 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.
    • Handle: RePEc:arx:papers:2006.16920
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    References listed on IDEAS

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    1. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204.
    2. Pucher, John & Garrard, Jan & Greaves, Stephen, 2011. "Cycling down under: a comparative analysis of bicycling trends and policies in Sydney and Melbourne," Journal of Transport Geography, Elsevier, vol. 19(2), pages 332-345.
    3. Clark, Andrew F. & Scott, Darren M., 2013. "Does the social environment influence active travel? An investigation of walking in Hamilton, Canada," Journal of Transport Geography, Elsevier, vol. 31(C), pages 278-285.
    4. Ruiz, Tomás & Bernabé, José C., 2014. "Measuring factors influencing valuation of nonmotorized improvement measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 195-211.
    5. Chorus, Caspar G., 2015. "Models of moral decision making: Literature review and research agenda for discrete choice analysis," Journal of choice modelling, Elsevier, vol. 16(C), pages 69-85.
    6. Rachel Copperman & Chandra Bhat, 2007. "An analysis of the determinants of children’s weekend physical activity participation," Transportation, Springer, vol. 34(1), pages 67-87, January.
    7. Evangelia Anagnostopoulou & Efthimios Bothos & Babis Magoutas & Johann Schrammel & Gregoris Mentzas, 2018. "Persuasive Technologies for Sustainable Mobility: State of the Art and Emerging Trends," Sustainability, MDPI, vol. 10(7), pages 1-22, June.
    8. Sangho Choo & Patricia Mokhtarian, 2008. "How do people respond to congestion mitigation policies? A multivariate probit model of the individual consideration of three travel-related strategy bundles," Transportation, Springer, vol. 35(2), pages 145-163, March.
    9. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    10. Stathopoulos, Amanda & Cirillo, Cinzia & Cherchi, Elisabetta & Ben-Elia, Eran & Li, Yeun-Touh & Schmöcker, Jan-Dirk, 2017. "Innovation adoption modeling in transportation: New models and data," Journal of choice modelling, Elsevier, vol. 25(C), pages 61-68.
    11. Corinne Mulley, 2017. "Mobility as a Services (MaaS) – does it have critical mass?," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 247-251, May.
    12. Parkes, Stephen D. & Jopson, Ann & Marsden, Greg, 2016. "Understanding travel behaviour change during mega-events: Lessons from the London 2012 Games," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 104-119.
    13. Gatersleben, Birgitta & Appleton, Katherine M., 2007. "Contemplating cycling to work: Attitudes and perceptions in different stages of change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(4), pages 302-312, May.
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