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Application of mobility related data during pandemic: opportunities, issues and challenges in India

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  • Parashar, Laghu
  • Cheriyan, Christy Ann

Abstract

Data is already recognized as an essential piece for unlocking maximum value within a transportation system and it has the potential to create more efficient passenger mobility. The aim of this research is to critically assess the ecosystem for mobility data including policies and regulations in India to administer the pandemic and post-pandemic scenario. The paper identified various data sources based on a typical public transport journey, further summarizing strategies adopted world-wide during COVID-19. The application of data during and post pandemic scenario is discussed to identify that contact tracing and development of digital payment systems as most necessary for same. The paper concludes with a critical evaluation of current ecosystem of data policies putting forward the recommendations to current data policies in India.

Suggested Citation

  • Parashar, Laghu & Cheriyan, Christy Ann, 2021. "Application of mobility related data during pandemic: opportunities, issues and challenges in India," Transport Policy, Elsevier, vol. 111(C), pages 74-81.
    • Handle: RePEc:eee:trapol:v:111:y:2021:i:c:p:74-81
    DOI: 10.1016/j.tranpol.2021.07.009
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    References listed on IDEAS

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    1. Itf, 2016. "Data-Driven Transport Policy," International Transport Forum Policy Papers 20, OECD Publishing.
    2. Luyu Liu & Harvey J Miller & Jonathan Scheff, 2020. "The impacts of COVID-19 pandemic on public transit demand in the United States," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
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