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Quantitative Framework for Establishing Low-Risk Inter-District Travel Corridors During COVID-19
Raviraj Dave1, Tushar Choudhari2, Avijit Maji2
1Discipline of Civil Engineering, Indian Institute of Technology, Gandhinagar, Gujarat, India.
Assessing COVID-19 travel risk requires more than just origin-destination vulnerability. This study introduces a framework to evaluate en-route risks, ensuring safer travel corridors during the pandemic.
Area of Science:
- Public Health
- Transportation Science
- Epidemiology
Background:
- The COVID-19 pandemic necessitated global travel restrictions, severely impacting economies.
- Resuming transportation requires assessing commuter risks amid ongoing viral spread.
Purpose of the Study:
- To develop a quantitative framework for evaluating commute-related risks.
- To establish safer travel corridors by considering en-route pandemic risks.
Main Methods:
- Combined nonparametric data envelopment analysis for vulnerability assessment.
- Integrated transportation network analysis to evaluate travel corridors.
- Applied the model to inter-district and intra-district travel in Gujarat and Maharashtra, India.
Main Results:
- Solely assessing origin-destination vulnerability underestimates total travel risk.
- En-route travel risks significantly exacerbate overall risk, even for low-vulnerability districts.
- Identified specific examples where moderate origin-destination risk masked higher en-route threats.
Conclusions:
- A comprehensive framework is needed to account for en-route pandemic risks.
- Low-risk travel corridors must integrate social, health, and transit-time factors.
- The proposed model aids in establishing safer inter- and intra-state travel routes.
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