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Smartphone Applications to Influence Travel Choices: Practices and Policies

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  • Shaheen, Susan
  • Cohen, Adam
  • Zohdy, Ismail
  • Kock, Beaudry

Abstract

This primer provides an overview of current practices in this emerging field and looks toward the future in the evolution and development of smartphone applications for the transportation sector. The primer provides an introduction and overview smartphone applications (known as “apps”); discusses the background, evolution, and development of smartphone apps; reviews the types of smartphone applications promoting transportation efficiency and congestion reduction; discusses transportation apps and their impacts on traveler behavior; examines current challenges; and concludes with guiding principles for public agencies.

Suggested Citation

  • Shaheen, Susan & Cohen, Adam & Zohdy, Ismail & Kock, Beaudry, 2016. "Smartphone Applications to Influence Travel Choices: Practices and Policies," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8dq801g7, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt8dq801g7
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    1. Metcalfe, Robert & Dolan, Paul, 2012. "Behavioural economics and its implications for transport," Journal of Transport Geography, Elsevier, vol. 24(C), pages 503-511.
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    1. Francesca Cellina & Dominik Bucher & José Veiga Simão & Roman Rudel & Martin Raubal, 2019. "Beyond Limitations of Current Behaviour Change Apps for Sustainable Mobility: Insights from a User-Centered Design and Evaluation Process," Sustainability, MDPI, vol. 11(8), pages 1-26, April.
    2. Yuntao Guo & Srinivas Peeta & Shubham Agrawal & Irina Benedyk, 2022. "Impacts of Pokémon GO on route and mode choice decisions: exploring the potential for integrating augmented reality, gamification, and social components in mobile apps to influence travel decisions," Transportation, Springer, vol. 49(2), pages 395-444, April.
    3. Zou, Zhenpeng & Cirillo, Cinzia, 2021. "Does ridesourcing impact driving decisions: A survey weighted regression analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 1-12.
    4. Shaheen, Susan & Cohen, Adam, 2020. "Chapter 3 - Mobility on demand (MOD) and mobility as a service (MaaS): early understanding of shared mobility impacts and public transit partnerships," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5030f0cd, Institute of Transportation Studies, UC Berkeley.
    5. Sohani Liyanage & Hussein Dia, 2020. "An Agent-Based Simulation Approach for Evaluating the Performance of On-Demand Bus Services," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    6. Sylwia Kolodziej & Monika Ziolko, 2025. "Analysis of Mobile Applications Supporting Public Transport in Smart Cities on the Example of Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 807-824.
    7. Mallidis, Ioannis & Aguilera-García, Álvaro & Salanova Grau, Josep Maria & Siomos, Alexandros & Vassallo, José Manuel, 2026. "Optimizing fleet size for on-demand taxi and ridehailing services: application to the case of Madrid," Transport Policy, Elsevier, vol. 175(C).
    8. Liu, Zhiyong & Li, Ruimin & Dai, Jingchen, 2022. "Effects and feasibility of shared mobility with shared autonomous vehicles: An investigation based on data-driven modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 206-226.
    9. Hu, Songhua & Xiong, Chenfeng & Ji, Ya & Wu, Xin & Liu, Kailun & Schonfeld, Paul, 2024. "Understanding factors influencing user engagement in incentive-based travel demand management program," Transportation Research Part A: Policy and Practice, Elsevier, vol. 186(C).
    10. Shaheen, Susan PhD & Cohen, Adam, 2018. "Equity and Shared Mobility," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1k71f2vv, Institute of Transportation Studies, UC Berkeley.
    11. María del Carmen Rey-Merchán & Antonio López-Arquillos & Manuela Pires Rosa & Jesús Manuel Gómez-de-Gabriel, 2022. "Proposal for an Institutional Carpooling System among Workers from the Public-Education Sector," Sustainability, MDPI, vol. 14(21), pages 1-10, November.
    12. Sohani Liyanage & Hussein Dia & Rusul Abduljabbar & Saeed Asadi Bagloee, 2019. "Flexible Mobility On-Demand: An Environmental Scan," Sustainability, MDPI, vol. 11(5), pages 1-39, February.
    13. Pengfei Lin & Jiancheng Weng & Quan Liang & Dimitrios Alivanistos & Siyong Ma, 2020. "Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing," Networks and Spatial Economics, Springer, vol. 20(1), pages 1-17, March.
    14. Francesca Cellina & Dominik Bucher & Francesca Mangili & José Veiga Simão & Roman Rudel & Martin Raubal, 2019. "A Large Scale, App-Based Behaviour Change Experiment Persuading Sustainable Mobility Patterns: Methods, Results and Lessons Learnt," Sustainability, MDPI, vol. 11(9), pages 1-23, May.
    15. Xu, Yiming & Yan, Xiang & Liu, Xinyu & Zhao, Xilei, 2021. "Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 170-188.
    16. Virginie Boutueil, 2018. "New Mobility Services," Post-Print hal-01981277, HAL.
    17. Neoh, Jun Guan & Chipulu, Maxwell & Marshall, Alasdair & Tewkesbury, Adam, 2018. "How commuters’ motivations to drive relate to propensity to carpool: Evidence from the United Kingdom and the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 128-148.
    18. Ma. Janice J. Gumasing & Frances Jeann Charlize S. Bermejo & Keisha Taranee C. Elpedes & Lady Fatima E. Gonzales & Aaron Chastine V. Villajin, 2023. "Antecedents of Waze Mobile Application Usage as a Solution for Sustainable Traffic Management among Gen Z," Sustainability, MDPI, vol. 15(13), pages 1-18, June.

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