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Mediation effect of diversity and availability of high transit service on transit oriented development and spread of COVID-19

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Listed:
  • Rupali Khare

    (GLA University)

  • Vasanta Govind Kumar Villuri

    (Indian Institute of Technology (Indian School of Mines))

  • Satish Kumar

    (Indian Institute of Technology (Indian School of Mines))

  • Devarshi Chaurasia

    (School of Planning and Architecture)

Abstract

The impact of the novel coronavirus disease (COVID-19) continues unabated. Still, it seems that apart from contact and respiratory transmission, the design and development pattern of an area does echoes to be a contributing factor in virus spreadability. The present study considers land use and transportation system parameters under TOD mode of 16 BRT station provinces in Bhopal, India, and COVID-19 cases data were collected from April 2020 to August 2020. Further, the Pearson correlation and mediational analysis were employed to determine the relationship between TODness and COVID-19 spread cases. The bootstrapping method was used to evaluate the mediation effect and describe why and under what conditions they are related. The study shows that TODness and COVID-19 spread cases are positively correlated. The results show a considerable correlation at (p

Suggested Citation

  • Rupali Khare & Vasanta Govind Kumar Villuri & Satish Kumar & Devarshi Chaurasia, 2023. "Mediation effect of diversity and availability of high transit service on transit oriented development and spread of COVID-19," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(12), pages 14063-14081, December.
  • Handle: RePEc:spr:endesu:v:25:y:2023:i:12:d:10.1007_s10668-022-02649-0
    DOI: 10.1007/s10668-022-02649-0
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    References listed on IDEAS

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    1. Singh, Yamini Jain & Lukman, Azhari & Flacke, Johannes & Zuidgeest, Mark & Van Maarseveen, M.F.A.M., 2017. "Measuring TOD around transit nodes - Towards TOD policy," Transport Policy, Elsevier, vol. 56(C), pages 96-111.
    2. Junsik Park & Gurjoong Kim, 2021. "Risk of COVID-19 Infection in Public Transportation: The Development of a Model," IJERPH, MDPI, vol. 18(23), pages 1-16, December.
    3. Marra, Alessio D. & Sun, Linghang & Corman, Francesco, 2022. "The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area," Transport Policy, Elsevier, vol. 116(C), pages 258-268.
    4. Marzena Cypryańska & John B Nezlek, 2020. "Anxiety as a mediator of relationships between perceptions of the threat of COVID-19 and coping behaviors during the onset of the pandemic in Poland," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-16, October.
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