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Article

Determination of the Peak Hour Ridership of Metro Stations in Xi’an, China Using Geographically-Weighted Regression

Department of Traffic Engineering, College of Transportation Engineering, Chang’an University, Xi’an 710064, China
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Author to whom correspondence should be addressed.
Sustainability 2020, 12(6), 2255; https://doi.org/10.3390/su12062255
Submission received: 4 February 2020 / Revised: 10 March 2020 / Accepted: 11 March 2020 / Published: 13 March 2020
(This article belongs to the Collection Sustainable Rail and Metro Systems)

Abstract

The ridership of a metro station during a city’s peak hour is not always the same as that during the station’s own peak hour. To investigate this inconsistency, this study introduces the peak deviation coefficient to describe this phenomenon. Data from 88 metro stations in Xi’an, China, are used to analyze the peak deviation coefficient based on the geographically weighted regression model. The results demonstrate that when the land around a metro station is mainly land for work, primary and middle schools, and residences, its station’s peak hour is consistent with the city’s peak hour. Additionally, the station’s peak hour is more likely to deviate from the city’s peak hour for suburban stations. There are two ridership options when designing stations, namely the extra peak hour ridership during a city’s peak hour and that during a station’s peak hour, and the larger of the two is used to design metro stations. The mixed land use ratio must be considered in urban land use planning, because although non-commuting land can mitigate the traffic pressure of a city’s peak hour, it may cause the deviation of the station’s peak hours from that of the city.
Keywords: urban rail transit station; peak deviation coefficient; transportation and land use; geographically weighted regression; station design urban rail transit station; peak deviation coefficient; transportation and land use; geographically weighted regression; station design

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MDPI and ACS Style

Yu, L.; Cong, Y.; Chen, K. Determination of the Peak Hour Ridership of Metro Stations in Xi’an, China Using Geographically-Weighted Regression. Sustainability 2020, 12, 2255. https://doi.org/10.3390/su12062255

AMA Style

Yu L, Cong Y, Chen K. Determination of the Peak Hour Ridership of Metro Stations in Xi’an, China Using Geographically-Weighted Regression. Sustainability. 2020; 12(6):2255. https://doi.org/10.3390/su12062255

Chicago/Turabian Style

Yu, Lijie, Yarong Cong, and Kuanmin Chen. 2020. "Determination of the Peak Hour Ridership of Metro Stations in Xi’an, China Using Geographically-Weighted Regression" Sustainability 12, no. 6: 2255. https://doi.org/10.3390/su12062255

APA Style

Yu, L., Cong, Y., & Chen, K. (2020). Determination of the Peak Hour Ridership of Metro Stations in Xi’an, China Using Geographically-Weighted Regression. Sustainability, 12(6), 2255. https://doi.org/10.3390/su12062255

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