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Measuring the Relationship between Influence Factor and Urban Rail Transit Passenger Flow: Correlation or Causality?
| 题名： | Measuring the Relationship between Influence Factor and Urban Rail Transit Passenger Flow: Correlation or Causality? |
| 正文语种： | eng |
| 作者： | Wenbo Lu;Yong Zhang;Chaoqun Ma;Bojian Zhou;Ting Wang |
| 作者单位： | Southeast Univ.;Southeast Univ.;Chang’an Univ.;Southeast Univ.;Southeast Univ. |
| 摘要： | Abstract 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. |
| 出版年： | 2022 |
| 期刊名称： | Journal of Urban Planning and Development |
| 卷： | 148 |
| 期： | 3 |
| 页码： | 1-14 |
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