中文版 | English
Title

Analyzing detour behavior of metro passengers based on mobile phone data

Author
Corresponding AuthorYu,Qing
Publication Years
2022-07-01
DOI
Source Title
ISSN
0308-1060
EISSN
1029-0354
Volume45Pages:289-309
Abstract

In this paper, a method of metro-passenger path extraction based on mobile phone data is presented. Paths that differ from theoretical optimal paths derived from the shortest-path model are identified as detours. According to transfer times or the effect on passenger flow of the metro network, two classification methods for detours are proposed. Based on analysis of one-month mobile phone data in Shanghai, China, 10.45% of trips are identified as detours. Without considering detours, the accuracy of the theoretical model in predicting passenger flow by segment is only 69.43%. Detours with as equal transfers as on theoretically optimal paths (ETs) occur mainly at the stations far away from the city center. Detours with more transfers (MTs) occur in the center city. Detours with fewer transfers (FTs) occur in stations on the loop line. To alleviate congestion on the metro network, FTs should be encouraged and others should be discouraged.

Keywords
URL[Source Record]
Indexed By
SCI ; EI
Language
English
SUSTech Authorship
Corresponding
Funding Project
Science and Technology Commission of Shanghai Municipality[20dz1202903]
WOS Research Area
Transportation
WOS Subject
Transportation Science & Technology
WOS Accession No
WOS:000829917300001
Publisher
EI Accession Number
20223012409819
EI Keywords
Metropolitan Area Networks ; Subways
ESI Classification Code
Passenger Railroad Transportation:433.2 ; Railway Plant And Structures, General:681.1 ; Telephone Systems And Equipment:718.1
Scopus EID
2-s2.0-85134681879
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/359582
DepartmentDepartment of Computer Science and Engineering
Affiliation
1.Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai,China
2.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,China
Corresponding Author AffilicationDepartment of Computer Science and Engineering
Recommended Citation
GB/T 7714
Duan,Zhengyu,Liu,Xiaolei,Yu,Qing,et al. Analyzing detour behavior of metro passengers based on mobile phone data[J]. TRANSPORTATION PLANNING AND TECHNOLOGY,2022,45:289-309.
APA
Duan,Zhengyu,Liu,Xiaolei,Yu,Qing,&Li,Yi.(2022).Analyzing detour behavior of metro passengers based on mobile phone data.TRANSPORTATION PLANNING AND TECHNOLOGY,45,289-309.
MLA
Duan,Zhengyu,et al."Analyzing detour behavior of metro passengers based on mobile phone data".TRANSPORTATION PLANNING AND TECHNOLOGY 45(2022):289-309.
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