论文标题
一个定量框架，用于建立Covid-19期间低风险的跨界旅行走廊
A Quantitative Framework for Establishing Low-risk Interdistrict Travel Corridors during COVID-19
论文作者
论文摘要
减缓新型冠状病毒（SARS-COV2）传播的愿望导致对全球各个国家的个人和工作相关旅行的前所未有的限制。结果，整个国家内部和整个国家的经济活动几乎停止了。随着限制松动，城市开始恢复公共和私人运输以改变经济，鉴于持续的大流行，评估通勤者与旅行有关的风险至关重要。我们开发了一个可推广的定量框架，以评估通过将非参数数据包络分析与运输网络分析相结合，以评估跨区域和分区内旅行的通勤风险。 We demonstrate the application of the proposed model for establishing travel corridors or travel bubbles within and across Gujarat and Maharashtra, two Indian states that have reported many SARS-CoV2 cases since early April 2020. Our findings suggest that establishing the travel bubble between a pair of districts solely based on the health vulnerability indices of origin-destination discards the en-route travel risks due to prevalent pandemic, hence underestimating the threat.例如，虽然纳尔默达（Narmada）和瓦多达拉（Vadodara）地区的社会和健康脆弱性的导致相对温和，但旅行风险加剧了总体旅行风险。我们的研究为用户提供了可行的见解，可以选择风险最小的替代路径，并可以为政治决定提供依据，以在各州内和各州建立低风险的旅行走廊，同时考虑到与运输时间相关的风险之外的社会和健康脆弱性。
Aspirations to slow down the spread of Novel Coronavirus (SARS-CoV2) resulted in unprecedented restrictions on personal and work-related travels in various nations across the globe. As a consequence, economic activities within and across the countries were almost halted. As restrictions loosen and cities start to resume public and private transport to revamp the economy, it becomes critical to assess the commuters' travel-related risk in light of the ongoing pandemic. We develop a generalizable quantitative framework to evaluate the commute-related risk arising from inter-district and intra-district travels by combining Nonparametric Data Envelopment analysis for vulnerability assessment with transportation network analysis. We demonstrate the application of the proposed model for establishing travel corridors or travel bubbles within and across Gujarat and Maharashtra, two Indian states that have reported many SARS-CoV2 cases since early April 2020. Our findings suggest that establishing the travel bubble between a pair of districts solely based on the health vulnerability indices of origin-destination discards the en-route travel risks due to prevalent pandemic, hence underestimating the threat. For example, while the resultant of social and health vulnerabilities of Narmada and Vadodara's districts is relatively moderate, the en-route travel risk exacerbates the overall travel risk. Our study provides actionable insights to users into choosing the alternate path with the least risk and can inform political decisions to establish low-risk travel corridors within and across the states while accounting for social and health vulnerabilities in addition to transit-time related risks.
