Measuring the Relationship between Influence Factor and Urban Rail Transit Passenger Flow: Correlation or Causality?
The analysis of factors influencing urban rail transit (URT) passenger flow is often a precondition for establishing prediction models. Much past analysis has focused on correlation analysis and does not draw on research on causal mechanisms. In this paper, a novel causal inference method based on transfer information entropy (TIE) is proposed to determine the causality between influence factor and URT passenger flow. As a comparison, the matrix correlation coefficient (RV₂ coefficient) is used to analyze the correlation. Taking the URT system in Xi’an, Shaanxi, China, as an example, the factors that may affect passenger flow are introduced and the causality and correlation are calculated. Compared with correlation analysis, the causal inference method can be used to derive the interactive relationship between influencing factors and passenger flow. At the same time, the causal inference method has greater adaptability to the type of passenger flow and the scope of influence. The result can be used for the theoretical support of transit-oriented development (TOD), and can also provide a reference for road traffic planning.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/07339488
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Supplemental Notes:
- © 2022 American Society of Civil Engineers
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Authors:
- Lu, Wenbo
- Zhang, Yong
- Ma, Chaoqun
- Zhou, Bojian
- Wang, Ting
- Publication Date: 2022-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 05022025
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Serial:
- Journal of Urban Planning and Development
- Volume: 148
- Issue Number: 3
- Publisher: American Society of Civil Engineers
- ISSN: 0733-9488
- EISSN: 1943-5444
- Serial URL: http://ascelibrary.org/journal/jupddm
Subject/Index Terms
- TRT Terms: Correlation analysis; Passenger traffic; Predictive models; Rail transit; Urban transit
- Geographic Terms: Xi'an (China)
- Subject Areas: Operations and Traffic Management; Passenger Transportation; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01855109
- Record Type: Publication
- Files: TRIS, ASCE
- Created Date: Aug 19 2022 5:13PM