Urban security sense evaluation and optimization strategy based on multi-source big data:A case study of the main urban area of Nanjing
Under the requirements of refined urban governance strategy,not only the construc-tion of physical space security defense system,but also fully creating residents'sense for daily life security should be emphasized in urban security research,so as to improve the quality of the city and enhance its attractiveness.Firstly,this research fully considers the interaction among residents'activities,natural disasters,social risks and the built environment,and then constructs the urban security sense mechanism model.Secondly,the indicator system of urban security sense is established from three dimensions of personal sense,built environment and behavioral activities.Furthermore,it uses multi-source big data to synthetically measure residents'security sense,taking the main urban area of Nanjing as an example.Finally,this research evaluates the security sense in Nanjing City,explores its spatial distribution pattern,and puts forward the cor-responding spatial optimization path.The results show that:the spatial pattern of residents'secu-rity sense in Nanjing City is wholly'higher in the center and lower in the north & south,with ob-vious group distribution',although there are some differences in the three dimensions.The secu-rity sense is higher in the important business districts and their surrounding residential areas de-veloped early,and it is lower in the developing new towns and the industrial supporting residen-tial areas.Many optimization strategies can promote the security level of the low-security sense areas,including function implantation,transportation system design,public service facility lay-out,environmental feature restoration,community space design,planning policy guidance,orga-nization system design and smart management platform construction.
urban security sensemulti-source big datamachine learningthe main urban area of Nanjingspatial optimization
NETL
NSTL
万方数据
