The construction of the dynamic index system of livable cities based on big data——taking the construction of livable cities in Zhuhai as an example

Based on the theoretical elaboration of livable cities, this essay found that the traditional livable city evaluation methods are mainly based on statistical indicators through research on the livable city evaluation index system proposed by domestic and foreign scholars. However, in the era of big data, the construction of smart cities requires Realize high-dimensional breakthroughs with the help of "Internet +". Taking the evaluation indicators of Zhuhai's livable city as an example, 49 of the 70 indicators released by the Zhuhai City Science Association are based on data reported by departmental statistics, 7 are data from the research group's questionnaire survey, and 14 are data calculated through the city's basic information. Based on the big data such as cell phones, cabs and network information, together with the basic urban information data such as urban land use and planning management, this study focuses on the calculation method of dynamic livability index based on urban spatial big data, providing a new perspective and method for livability evaluation, and realizing the change of urban livability index from "one number for the whole city, one number for the whole year" to "one number for the whole year". It will provide support for the construction of a livable city in Zhuhai by changing from "one number for the whole city and one number for the whole year" to "different from place to place and different from time to time". This study focuses on building a system of ten livelihood indicators for citizens in four aspects: ecology, space, travel and services, including pleasant natural environment, close green space, convenient neighborhood activities, reasonable functional layout, comfortable commuting distance, smooth road travel, convenient public transportation use, convenient compulsory education, convenient medical services, and satisfactory housing prices. Considering the typicality of indicators and data availability, 2-3 representative sub-indicators were selected for each aspect, and the sub-indicators were calculated separately based on big data, and then the livelihood-related single indicators and Zhuhai comprehensive livability index were calculated through the steps of standardization of indicators, determination of indicator weights, and spatial superposition of multiple elements of indicators. By evaluating the results, it will serve as an important basis for evaluating the existing planning and construction of the city and point out the direction for the subsequent construction of a livable city in Zhuhai. On the other hand, by exploring a personalized platform that regularly announces Zhuhai's dynamic livability indicators to the public, individual indicators related to people's livelihood and Zhuhai's comprehensive livability index will be released to the public on a regular basis to provide support for the city's refined governance and intelligent management.