Substituted Relationship Between Ride-hailing and Public Transit and Emission Reduction Potential

被引：0
|
作者：
Lv Y. [1 ]
He L.-L. [1 ]
Sun H.-J. [1 ]
Xu G.-T. [1 ]
机构：
[1] School of Systems Science, Beijing Jiaotong University, Beijing
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2023年 / 23卷 / 04期
基金：
中国国家自然科学基金;
关键词：
carbon emissions; data mining; ride-hailing; urban traffic; utility function;
D O I：
10.16097/j.cnki.1009-6744.2023.04.002
中图分类号：
学科分类号：
摘要：
As a popular travel mode, ride-hailing has changed people's travel choices to some extent, which makes some passengers who used to take public transit turn to ride-hailing. The resulting substituted relationship between ride-hailing and public transit will have a certain impact on urban transport carbon emissions, and it is necessary to conduct in-depth research. Based on the comparison of utility functions, this paper uses the ride-hailing order data in Chengdu to infer whether the ride-hailing service has the chance to be replaced by public transit. From the OD (Origin Destination) level, this paper analyzes the characteristics of replaceable and irreplaceable trips by public transit and the emission reduction potential of the urban public transit system. The results show that 54.16% of all ride-hailing orders have a potential substituted relationship with public transit. Travel time and travel cost are the main factors that affect passengers' choices. When the public transit travel plan only includes subway travel or subway travel distance accounts for a relatively high proportion, it is more likely to show that there is a potential substituted relationship between ride-hailing and public transit. If public transit has the opportunity to replace some ride-hailing trips, it will lead to a reduction of about 45.59% in carbon emissions. The periods and areas with the greatest emission reduction potential are between 10:00 and 17:00, as well as areas near urban centers and subway lines. This study can provide decision support for relevant government departments to improve the service level and utilization efficiency of public transit by implementing effective means, and thus reduce the carbon emissions of the urban transport system. © 2023 Science Press. All rights reserved.
引用
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页码：11 / 23
页数：12
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