Research on the Evaluation of Land Intensive Utilization in Universities Based on Population Location Big Data
The purpose of this paper is to apply big data of population location into the evaluation of land use intensity of campus scale,and provide a scientific basis for the rational evaluation of the degree of intensive use of educational land in universities.The study found that:1)There are obvious differences in the population gathering situation of each campus on working days and holidays.At different time points,the population gathering situation in different functional areas has difference.2)Although the old campus has a large built-up area and dense buildings,it has a low floor area ratio,fewer people,a more scattered distribution,and low overall utilization efficiency;The new campus has a large area and low building density,but a high floor area ratio,with a large number of people and a concentrated population distribution,the overall utilization efficiency is higher.In conclusion,the study demonstrates that population location big data plays an important role in the evaluation of intensive use of land in universities.To correctly evaluate the degree of intensive use of educational land in universities,it is necessary to specify the evaluation scale to the campus level and reveal the intensive use of land in different campuses according to the actual situation of different campuses.On this basis,universities should implement corresponding policies based on campus conditions to promote the intensive and effective use of land.
the land evaluation of intensive utilizationpopulation location big datacampusNanjing Normal University
万方数据
维普
