A Framework towards the Decision-Making of Public Service Facilities in Smart Cities: Fid-Bau Portal

A Framework towards the Decision-Making of Public Service Facilities in Smart Cities

Chen, Kaiwen / Reichard, Georg / Yuan, Jingfeng / Li, Qiming

Smart cities, here defined as cities utilizing big data along with information and communication technologies (ICT), such as the internet of things (IoT) and location based services (LBS), have provided opportunities for the development of personalized and accessible public services and experiences. Parts of public service facilities, such as schools, hospitals, or governmental buildings, which provide fundamental urban functions, may better satisfy public demands by promoting elements of smart cities. Although previous research efforts have looked at big data and ICT applications in public services, there is still a lack of automated integration of massive information records for optimizing the efficiency of public services. In order to support the decision-making process of planning and designing public service facilities in an urban context, this paper put forward a framework of decision-makings for public service facilities based on the management and processing of multi-sourced data. This framework proposed a GIS-based decision support platform with the access to reusable multi-sourced data and replicable professional analytical methods. The decision support platform has the potential to provide optimized implementation plans to improve the locational equity and timeliness of services, as well as increasing the satisfaction rates based on demand analysis.