Primary School Site Selection Research Based on Big Data of Population Density Jintang urban area of Chengdu as an example
Year: 2020
Type: conference-paper
Abstract: In recent years, big data has been increasingly used in the location of urban public service facilities. This paper takes Jintang urban area of Chengdu as the research object, based on big data of population density, and five factors that affect the site selection of primary schools are studied, including traffic safety, traffic accessibility, existing primary schools, land usage nature, and land price. Spatial analysis methods such as GIS nuclear density analysis are applied to analyze and process related factors. The results show that on the basis of the existing planning and layout of Jintang urban area, the land for education and scientific research on the east side of Jinyuan street, the land for primary and secondary schools on the east side of Jinying road, and the southwest corner of Hantan community are the most suitable plots for primary and secondary schools. Among them, the education and scientific research land on the east side of Jinyuan street serves the most residential sites, which is the optimal plan for site selection for primary schools.
Institution: Sichuan Agricultural University
Language: English
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W3095057729