Chapter
Dec 14, 2021
A Classification Method of Rail Transit Stations Based on POI Data and TF-IDF Index
Authors: Shichen Zhong [email protected], Xinyue Xu [email protected], Chao Yu [email protected], and Linqi Xia [email protected]Author Affiliations
Publication: CICTP 2021
ABSTRACT
With the expansion of its service scope, the complexity of the subway network continues to increase. The most obvious feature is the increase in the number of stations. Understanding the similarity of land use around subway stations, the development degree of surrounding areas and the distribution of supporting facilities is of great significance for future planning and construction of stations. POI data is an important basis for analyzing land use around subway stations. This paper proposes a method for quantifying the POI indicators of stations based on the TF-IDF algorithm, and on this basis, performs cluster analysis to find stations with similar land use properties. Finally, taking the Beijing subway network as an example, the classification results of different types of stations are explained.
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Published In
CICTP 2021
Pages: 2337 - 2346
History
Published online: Dec 14, 2021
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1School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing. Email: [email protected]
2State Key Laboratory of Railway Traffic Control and Safety, Beijing Jiaotong Univ., Beijing. Email: [email protected]
3School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing. Email: [email protected]
4School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing. Email: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.