Volume 40 Issue 4
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KONG Ao, XU Yaofang, DUAN Liwei, MA Qinglu. An Evaluation of Connectivity of Transfer in Comprehensive Passenger Transport Hubs Considering Social Distance[J]. Journal of Transport Information and Safety, 2022, 40(4): 167-176. doi: 10.3963/j.jssn.1674-4861.2022.04.018
Citation: KONG Ao, XU Yaofang, DUAN Liwei, MA Qinglu. An Evaluation of Connectivity of Transfer in Comprehensive Passenger Transport Hubs Considering Social Distance[J]. Journal of Transport Information and Safety, 2022, 40(4): 167-176. doi: 10.3963/j.jssn.1674-4861.2022.04.018
shu

An Evaluation of Connectivity of Transfer in Comprehensive Passenger Transport Hubs Considering Social Distance

doi: 10.3963/j.jssn.1674-4861.2022.04.018

  • School of Transportation, Chongqing Jiaotong University, Chongqing 400074, China

  • Received Date: 2022-03-07
    Abstract
  • In order to reduce the risk of the spread of the COVID-19 in comprehensive passenger transport hubs, passengers are required to maintain a certain social distance. In response to the lack of literatures regarding the influences of keeping social distance on connectivity of transfer in the transport hubs, an improved index systemis proposed to reflect the impacts of keeping social distance by introducing an index of riskof epidemic spreading (the higher the value of the index, the lower the risk of epidemic spreading). Specifically, the CRITIC-entropy weight method is used to calculate the weight of each index, and the TOPSIS evaluation model is used to analyze the connectivity of transfer in comprehensive passenger transport hubs with different social distances. Taking Chongqing West Railway Station as a case study, the corresponding connectivity of transfer is simulated by Anylogic software, then the value of each evaluation indexis output. The results reveal the following conclusions. First, indices including the number of over-density points of average passengers flow, queuing time atstation entrances, entry time, and entry rate have significant effects on the evaluation of passengers' transfer in comprehensive passenger transportation hubs. Second, thesocial distance for optimal connectivity of transfer is 1 m, comparing to the social distance of 2, 1.5, and 0 m, its comprehensive evaluation level of connectivity increases by 60.53%, 34.50%, and 25.71%, respectively. In detail, the values of indices of entry-exit time and efficiency averagely increase by 20.86% and 47.79%, respectively. The value of index ofrisk of epidemic spreading averagely increases by 53.74%. Third, when no social distance restriction is imposed, the comprehensive evaluation level of connectivity averagely decreases by 7.77%, and the values ofindices of entry-exit times and efficiencies increase by 47.08% and 60.00%, respectively, while the value of index of risk of epidemic spreading is 70.09% lower on average.

     

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