Cloud Model–Based Resilience Evaluation Method for Old Neighborhoods

Older areas in the city are now generally characterized by road congestion, obsolete facilities, low disaster prevention capability, and so on. To accurately and efficiently improve the quality of the living environment in the urban old settlements, this paper proposes a resilience evaluation method for old neighborhoods based on cloud modeling. Based on the toughness theory, this paper obtains 30 groups of representative characteristics data of old neighborhoods in Xi’an City, Shaanxi Province, China, through field research and determines 4 first-level indicators, 9 second-level indicators, and 30 third-level indicators of architectural toughness, facility toughness, environmental toughness, and personnel toughness by referring to relevant literature and combining with the suggestions of relevant experts to constitute the evaluation index system of the old neighborhoods. The analytic hierarchy process is used to determine the subjective weight of each indicator, the entropy weight method and maximum entropy relative entropy criterion combination method is used to determine the objective weight, the final weight is determined by the combination of the weighting method, and MATLAB (version R2018b) is used to construct a cloud model based on the evaluation of the toughness of the old neighborhood. Based on this model, this paper selects the old neighborhood in Xi’an City, Shaanxi Province–Wanqing Lane neighborhood, for toughness evaluation, and the results obtained can more accurately reflect the toughness of the neighborhood. At the same time, the study shows that the evaluation model established offers a certain degree of effectiveness and applicability.