Tan Zhijia, Shao Shuai, Zhang Xiaofeng, Shang Wen-Long
School of Management, HuaZhong University of Science and Technology, Wuhan 430074, PR China.
School of Maritime Economics and Management, Dalian Maritime University, Dalian 116016, PR China.
Sustain Cities Soc. 2023 Oct;97:104702. doi: 10.1016/j.scs.2023.104702. Epub 2023 Jun 12.
The excessive traffic congestion in vehicles lowers the service quality of urban bus system, reduces the social distance of bus passengers, and thus, increases the spread speed of epidemics, such as coronavirus disease. In the post-pandemic era, it is one of the main concerns for the transportation agency to provide a sustainable urban bus service to balance the travel convenience in accessibility and the travel safety in social distance for bus passengers, which essentially reduces the in-vehicle passenger congestion or smooths the boarding-alighting unbalance of passengers. Incorporating the route choice behavior of passengers, this paper proposes a sustainable service network design strategy by selecting one subset of the stops to maximize the total passenger-distance (person kilometers) with exogenously given loading factor and stop-spacing level, which can be captured by constrained non-linear programming model. The loading factor directly determines the in-vehicle social distance, and the stop-spacing level can efficiently reduce the ridership with short journey distance. Therefore, the sustainable service network design can be used to help the government minimize the spread of the virus while guaranteeing the service quality of transport patterns in the post-pandemic era. A real-world case study is adopted to illustrate the validity of the proposed scheme and model.
车辆过度拥堵降低了城市公交系统的服务质量，减小了公交乘客之间的社交距离，进而增加了诸如新冠病毒疾病等流行病的传播速度。在疫情后时代，交通部门的主要关注点之一是提供可持续的城市公交服务，以平衡公交乘客在可达性方面的出行便利性和社交距离方面的出行安全性，这实质上是减少车内乘客拥堵或缓解乘客上下车的不均衡情况。本文考虑乘客的路线选择行为，通过在给定的外生载客率和站点间距水平下选择一部分站点来最大化总乘客里程（人公里），提出了一种可持续服务网络设计策略，该策略可由约束非线性规划模型来描述。载客率直接决定车内社交距离，而站点间距水平能够有效减少短途出行的客流量。因此，可持续服务网络设计可用于帮助政府在疫情后时代保证交通模式服务质量的同时，最大限度地减少病毒传播。通过一个实际案例研究来说明所提方案和模型的有效性。
