Design and Sustainable Strategies of Community Mobile Health Vehicle Service Systems Based on Factor Analysis and the Entropy Weight Method

Community Mobile Health Vehicles (CMHVs) represent an innovative healthcare delivery model that integrates medical services into residents’ daily community life. By extending healthcare coverage to underserved populations, CMHVs can improve access to health management services while enhancing the efficiency of healthcare resource utilization. However, existing studies have primarily focused on health outcomes or the adoption of digital health technologies, with limited attention paid to users’ willingness to utilize CMHVs and their relationship with sustainability dimensions, including social equity, economic efficiency, and environmental responsibility. Drawing on survey data collected from community residents in China, this study employs Exploratory Factor Analysis (EFA) to identify the key determinants influencing users’ willingness to use CMHVs. Furthermore, the Entropy Weight Method (EWM) is applied to prioritize both the identified factors and their corresponding design strategies according to their relative importance. The results reveal five principal determinants: Cognitive Ease, System Adaptability, Institutional Trustworthiness, Technical Reliability, and Environmental Compliance. These factors and their associated design strategies exhibit varying levels of importance in promoting user engagement, optimizing resource allocation, and facilitating community integration. Based on the findings, this study proposes a set of sustainability-oriented design prioritization strategies for CMHV service systems. The proposed framework provides both theoretical and empirical insights for urban healthcare service planning and supports the coordinated achievement of economic, social, and environmental sustainability goals. The study further offers evidence-based guidance for the implementation, continuous improvement, and long-term sustainability of CMHVs within urban healthcare and mobile health service systems.