Based on relevant data and evaluation indicators, selection criteria were established to preliminarily design an evaluation indicator system for urban safety development. The Delphi method was used to refine and improve the evaluation indicator system proposed in this paper, ultimately determining the evaluation indicator system for this study. Subsequently, the entropy weight-TOPSIS algorithm was employed to design an evaluation model for urban safety development. Under the influence of the evaluation model, an assessment and analysis of urban safety development levels from 2014 to 2023 was conducted. It was found that the urban safety development level was optimal in 2018 and the worst in 2023, with values of 0.6492 and 0.2489, respectively, comprehensively showcasing the urban safety development levels from 2014 to 2023.