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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

  • Xuting Duan*
  • , Chen Sun
  • , Daxin Tian
  • , Shudong Xia
  • , Xuejun Ran
  • , Xu Han
  • , Yafu Sun
  • *Corresponding author for this work
  • Beihang University
  • Ltd
  • University of Sussex

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Taking 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.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence and Security - 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, Proceedings
EditorsXingming Sun, Xiaorui Zhang, Zhihua Xia, Elisa Bertino
PublisherSpringer Science and Business Media Deutschland GmbH
Pages509-523
Number of pages15
ISBN (Print)9783031067600
DOIs
StatePublished - 2022
Event8th International Conference on Artificial Intelligence and Security , ICAIS 2022 - Qinghai, China
Duration: 15 Jul 202220 Jul 2022

Publication series

NameCommunications in Computer and Information Science
Volume1587 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference8th International Conference on Artificial Intelligence and Security , ICAIS 2022
Country/TerritoryChina
CityQinghai
Period15/07/2220/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Land use types
  • Liner regression analysis
  • Passenger flow prediction
  • Remote sensing images

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