Open AccessPrimary School Site Selection Research Based on Big Data of Population Density Jintang urban area of Chengdu as an example
Author(s) -
Huayun Xiao,
Linqin Fu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1654/1/012126
Subject(s) - geography , site selection , plan (archaeology) , research object , population , land use , selection (genetic algorithm) , service (business) , environmental planning , transport engineering , regional science , civil engineering , business , engineering , political science , computer science , sociology , archaeology , demography , marketing , artificial intelligence , law
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.