@phdthesis{oai:kitakyu.repo.nii.ac.jp:02000045,
 author = {王　迪},
 month = {2024-01-16},
 note = {With the rapid development of urban rail transit systems around the world, the station realm has become an important urban spatial place that carries various categories of functional facilities and people's daily life. Taking Xi'an Metro Line 2 as a case study, this study combines big data analysis technology and geographic information system, and applies multiple spatial analysis methods and regression models to systematically analyze the spatial distribution pattern of population activities and functional facilities within station realm, and further reveals the interaction mechanism between the them. The research results will provide a reliable basis for improving the allocation of public resources and enhancing spatial efficiency in the station realm.},
 school = {北九州市立大学},
 title = {Research on spatial distribution pattern and interaction mechanism within rail transit station realm},
 year = {}
}