Enhancing Urban Resilience Through Spatial Interaction-Based City Management Zoning

Abstract

Good city management is essential in mitigating the impact of various crisis events and thus enhances urban resilience. The current zoning system that underlies China’s city management system, however, hardly meets the resilient requirements in failing to appropriately and flexibly allocate patrol personnel under normal and various crisis scenarios. We propose an optimization method that gives rise to a resilient city management zoning system by introducing spatial interaction. We realize this through community detection in a spatially embedded patrol passage cost network. Illustrated by a case in Jiangbei District, Ningbo, China, we show that the optimized zoning system has significant advantages in terms of event coverage, response efficiency, and workload balance in the normal scenario as compared to the status quo with up to 3.6 percent, 5.9 percent, and 34.0 percent performance improvement, respectively. Moreover, the method also achieves similar performance improvement in three typical shock scenarios in city management: epidemic, typhoon, and crowd gathering. We conclude the article with discussions on the findings’ significance in urban resilience building and their methodological and theoretical implications in applied urban sciences.