Research on Time-Based Fare Discount Strategy for Urban Rail Transit Peak Congestion
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Published:2023-10-17
Issue:4
Volume:9
Page:352-367
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ISSN:2199-6687
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Container-title:Urban Rail Transit
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language:en
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Short-container-title:Urban Rail Transit
Author:
Ding Xiaobing,
Hong ChenORCID,
Wu Jinlong,
Zhao Lu,
Shi Gan,
Liu Zhigang,
Hong Haoyang,
Zhao Zhengyuan
Abstract
AbstractTo alleviate peak-hour congestion in urban rail transit, this study proposes a new off-peak fare discount strategy to incentivize passengers to shift their departure time from peak to off-peak hours. Firstly, a questionnaire survey of Shanghai metro passengers is conducted to analyze their willingness to change departure time under different fare strategies. Secondly, based on the survey results, a time-differentiated fare discount model is constructed, considering both the company’s revenue and passengers’ travel benefits, and with the optimization objective of achieving balanced peak-hour and off-peak-hour train loads throughout the day. Subsequently, a genetic algorithm with nested fmincon functions is designed and combined with the actual data of Shanghai rail transit line 9 for arithmetic analysis. Finally, the effectiveness of the model is validated using the survey data. The research results show that the off-peak fare discount strategy can incentivize 6.88% of passengers traveling in the morning peak and 6.66% of passengers traveling in the evening peak to shift to off-peak travel. This research provides theoretical support and decision-making guidance for implementing time-differentiated pricing in urban rail transit systems.
Funder
Shanghai Office of Philosophy and Social Science
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Urban Studies,Transportation,Automotive Engineering,Geography, Planning and Development,Civil and Structural Engineering
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