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Toward using social media to support ridesharing services: challenges and opportunities

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  • Lei Tang
  • Zongtao Duan
  • Yaling Zhao

Abstract

Ridesharing has been attracting increasing attention from both academia and industry. One of the challenges posed by the study of ridesharing is to identify the most valuable information for improving the ridesharing decisions taken by participants. Another challenge is to use harvesting techniques to extract specific types of travel-related information. Many methods have been developed by the community in order to solve these issues. However, due to a lack of information sharing between different transit authorities and the difficulty of identifying subjective perceptions of the experience of ridesharing, understanding and evaluating how social media data might support or obstruct goals for mobility, safety and environmental sustainability in ridesharing is a difficult task. In this survey, we first analyze the literature on ridesharing with a focus on the properties and model of service, and introduce a framework to describe the major components required for a ridesharing service. Then, we illustrate the potential value of information extracted from social media and present the rationale for harvesting travel-related data. Finally, we detail some possible directions and different approaches for using social media data, and highlight their assets and drawbacks.

Suggested Citation

  • Lei Tang & Zongtao Duan & Yaling Zhao, 2019. "Toward using social media to support ridesharing services: challenges and opportunities," Transportation Planning and Technology, Taylor & Francis Journals, vol. 42(4), pages 355-379, May.
  • Handle: RePEc:taf:transp:v:42:y:2019:i:4:p:355-379
    DOI: 10.1080/03081060.2019.1600242
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    Cited by:

    1. Sumitkumar, Rathor & Al-Sumaiti, Ameena Saad, 2024. "Shared autonomous electric vehicle: Towards social economy of energy and mobility from power-transportation nexus perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    2. Yan, Pengyu & Lee, Chung-Yee & Chu, Chengbin & Chen, Cynthia & Luo, Zhiqin, 2021. "Matching and pricing in ride-sharing: Optimality, stability, and financial sustainability," Omega, Elsevier, vol. 102(C).
    3. Anastasia Nikolaidou & Aristomenis Kopsacheilis & Nikolaos Gavanas & Ioannis Politis, 2024. "Assessing the EU Climate and Energy Policy Priorities for Transport and Mobility through the Analysis of User-Generated Social Media Content Based on Text-Mining Techniques," Sustainability, MDPI, vol. 16(10), pages 1-27, May.
    4. Muhamad Rizki & Tri Basuki Joewono & Dimas Bayu Endrayana Dharmowijoyo & Dwi Prasetyanto, 2021. "The Effects of On- and Before- Journey Advantages Using Ride-Sourcing in Indonesia," Sustainability, MDPI, vol. 13(19), pages 1-20, October.

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