Urban Public Safety Risk Assessment of 35 Cities in China Based on Context-Dependent DEA Approach And DEASort

Abstract

Urban public safety is the foundation of the urban development. Correct and reasonable assessment of urban public safety plays a vital role in the healthy development of cities. This paper establishes a context-dependent DEA model to divide 35 cities of China into three levels, and considers improved value of the low-level when different contexts are used as reference backgrounds. Then use the idea of DEASort proposed by Alessio Ishizaka to prioritize the high level in combination with the index weights in the Public Safety Blue Book: China Urban Public Safety Development Report (2016-2017). The research shows that there is a significant stepwise difference in urban public safety of China: the public security situation in the eastern cities is relatively optimistic; the levels in the northeastern cities are basically the same, and there is still room for improvement; the central cities are stratified, some cities are relatively good, and some cities have larger improve space; there are major hidden dangers in the public security problems in western cities.