Fei Xie, Hua Lu
Urban emergency logistics capacity is critical for managing unexpected events and ensuring urban resilience. This study constructs a comprehensive evaluation index system to assess urban emergency logistics capacity using the Cloud Weight- Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. Beijing serves as the case study for this evaluation, covering the period from 2003 to 2022. The findings reveal a continuous annual improvement in Beijing's emergency logistics capacity, marked by five significant enhancements. By 2022, Beijing's emergency logistics capacity has reached a relatively high level, providing valuable insights for optimizing urban emergency logistics strategies. This research contributes a robust framework for evaluating and enhancing urban emergency logistics, offering practical guidance for other cities aiming to improve their emergency logistics capabilities.
Urban Emergency Logistics; Cloud Model; TOPSIS; Emergency Logistics; Capacity Evaluation