Research on Dynamic Evaluation of Urban Community Livability Based on Multi-Source Spatio-Temporal Data

Abstract

With the rapid development of urban economy, urban residents pay more attention to their living environment, livability has become a hot spot of the current era. Community environment is the basis for the survival and development of residents. Its advantages and disadvantages are related not only to the physical and mental health of residents, but also to the level of urban economic development and community construction. From four aspects of life convenience, travel convenience, residential safety and environmental comfort, combined with taxi trajectory data, POI data, geographical conditions census data and other multi-source data, measure the equilibrium distribution of basic public service facilities within the community by spatial mean, construct dynamic assessment method of urban community livability based on time interval community hot spot and community activity, it overcomes the shortcomings of single data source and long evaluation time in the past community evaluation. The evaluation index system of community livability in Wuhan is determined, using entropy method to calculate the weight of indicators at all levels and livable index weight at each period, obtains community livable index, analyze and evaluate community livability in the main urban areas of Wuhan from time and space level. It can provide decision-making basis for urban construction department to build livable communities, so as to improve the quality of life of urban residents, and provide help for the daily life of residents, buying and renting a house.