Assessment of child-friendly spatial environment in urban communities based on fuzzy Analytic Hierarchy Process

Abstract

Urban development is progressively integrating the concept of child-friendly cities to foster inclusive and sustainable environments prioritizing children's needs and rights. This study contributes to the discourse on child-friendly urban spaces by leveraging the fuzzy Analytic Hierarchy Process (AHP) to assess these environments systematically. The methodology begins by compiling key factors influencing child-friendly environments. Using the AHP and expert scoring, judgment matrices are created to determine the weight of these factors, forming a structured assessment index system. The system is further refined through the development of specific rating items for each second-level factor, employing the fuzzy comprehensive assessment method integrated with membership functions. This approach enables a detailed, quantifiable analysis of factors contributing to child-friendly environments. To illustrate the practical application of this methodology, it was applied to Zengjiayan Community in Yuzhong District, a densely populated area of Chongqing, China, known for its mountainous terrain, thus navigating the distinctive challenges posed by this unique urban landscape. Extensive field research and interviews aligned second-level rating items with specific community features. Results yield a 'Good' rating for the community’s child-friendly environment, highlighting achievements and spatial constraints. These insights underscore the impact of urban design and policies on child-friendliness in challenging settings. The study provides a vital tool for urban planners and policymakers, presenting a model to assess and improve child-friendly spaces in complex urban settings.