File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Analysis of the Relationship Between the Passenger Flow and Surrounding Land Use Types at the Subway Stations of the Batong Subway Line of Beijing Based on Remote Sensing Images

TitleAnalysis of the Relationship Between the Passenger Flow and Surrounding Land Use Types at the Subway Stations of the Batong Subway Line of Beijing Based on Remote Sensing Images
Authors
KeywordsLand use types
Liner regression analysis
Passenger flow prediction
Remote sensing images
Issue Date2022
Citation
Communications in Computer and Information Science, 2022, v. 1587 CCIS, p. 509-523 How to Cite?
AbstractTaking the Batong Line of Beijing subway as our research object, it includes nine stations, such as Communication Univ. of China Station, Shuang Qiao Station and soon on. The attraction range of passenger flow of the subway station is a circle which takes 800 m as the radius. The surrounding land use types of the subway station and its corresponding area within its attraction limit are determined based on the remote sensing images of each site. The prediction model of the passenger flow of each subway station and the area of different land use types surrounding it is established by using regression analysis. It is found that the average daily passenger flow on weekdays and the average daily passenger flow on weekends of each subway station are positively correlated with its surrounding total land use area. The passenger flow in and out of the subway station at different time periods has different relationship with the surrounding land use types and their corresponding area. Therefore, the average daily passenger flow and passenger flow in different time periods of the subway station can be predicted by its surrounding different land use types.
Persistent Identifierhttp://hdl.handle.net/10722/353055
ISSN
2023 SCImago Journal Rankings: 0.203

 

DC FieldValueLanguage
dc.contributor.authorDuan, Xuting-
dc.contributor.authorSun, Chen-
dc.contributor.authorTian, Daxin-
dc.contributor.authorXia, Shudong-
dc.contributor.authorRan, Xuejun-
dc.contributor.authorHan, Xu-
dc.contributor.authorSun, Yafu-
dc.date.accessioned2025-01-13T03:01:51Z-
dc.date.available2025-01-13T03:01:51Z-
dc.date.issued2022-
dc.identifier.citationCommunications in Computer and Information Science, 2022, v. 1587 CCIS, p. 509-523-
dc.identifier.issn1865-0929-
dc.identifier.urihttp://hdl.handle.net/10722/353055-
dc.description.abstractTaking the Batong Line of Beijing subway as our research object, it includes nine stations, such as Communication Univ. of China Station, Shuang Qiao Station and soon on. The attraction range of passenger flow of the subway station is a circle which takes 800 m as the radius. The surrounding land use types of the subway station and its corresponding area within its attraction limit are determined based on the remote sensing images of each site. The prediction model of the passenger flow of each subway station and the area of different land use types surrounding it is established by using regression analysis. It is found that the average daily passenger flow on weekdays and the average daily passenger flow on weekends of each subway station are positively correlated with its surrounding total land use area. The passenger flow in and out of the subway station at different time periods has different relationship with the surrounding land use types and their corresponding area. Therefore, the average daily passenger flow and passenger flow in different time periods of the subway station can be predicted by its surrounding different land use types.-
dc.languageeng-
dc.relation.ispartofCommunications in Computer and Information Science-
dc.subjectLand use types-
dc.subjectLiner regression analysis-
dc.subjectPassenger flow prediction-
dc.subjectRemote sensing images-
dc.titleAnalysis of the Relationship Between the Passenger Flow and Surrounding Land Use Types at the Subway Stations of the Batong Subway Line of Beijing Based on Remote Sensing Images-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-031-06761-7_41-
dc.identifier.scopuseid_2-s2.0-85135073854-
dc.identifier.volume1587 CCIS-
dc.identifier.spage509-
dc.identifier.epage523-
dc.identifier.eissn1865-0937-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats