Analysis of the Influencing Factors of Urban Rail Transit Discounts Before Morning Peak Hours from the Perspective of Residents

Qiudie Luo (), Liudan Jiao, Xiangnan Song () and Yu Zhang
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Qiudie Luo: Chongqing Jiaotong University
Liudan Jiao: Chongqing Jiaotong University
Xiangnan Song: Guangzhou University
Yu Zhang: Chongqing Jiaotong University

A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 917-928 from Springer

Abstract: Abstract The time-sharing pricing strategy can effectively alleviate the congestion problem of urban rail transit. There have been many studies on price increases during peak hours and price reductions during off-peak hours. Some scholars have also suggested that adopting preferential fare policies before peak hours can effectively disperse passenger flow. From residents’ perspective, this article explores the influencing factors of urban rail transit discounted fares before the morning peak. Collect Chongqing residents’ characteristics, travel characteristics, and willingness to travel early through questionnaire surveys, perform descriptive statistics on the data collected by the questionnaire, analyze the relationship between influencing factors, and establish logit of whether residents are willing to travel early during the morning peak fare discount period Model to analyze the factors that affect the probability of residents travelling early. The results show that the travel time period is the main factor that affects whether residents are willing to travel in advance. The later the travel time period is, the less willing the residents to travel in advance.

Keywords: Rail transit; Ticket price; Questionnaire survey; Logit model; Travel time (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-19-5256-2_72

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DOI: 10.1007/978-981-19-5256-2_72

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