Analyses of the Imbalance of Urban Taxis’ High-Quality Customers Based on Didi Trajectory Data
Joint Authors
Hu, Beibei
Xia, Xuanxuan
Shen, Xinyi
Dong, Xianlei
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-03
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The distribution of high-quality customers (hereafter HQC) for taxis (including ride-hailing cars) has a significant impact on drivers’ revenue and taxis’ operation efficiency.
Based on the taxi global positioning system data, we construct an evaluation model of passengers to discuss the imbalance of consumption in taxi market.
The profit margin for each taxi order is calculated, and then a grid-based method is used to distinguish the HQC and the regions with potential higher benefits.
We analyze the HQC’s distribution of taxis (including ride-hailing cars) in different areas and in different time periods.
We find that the HQC are distributed mainly on the periphery of the main urban area, which indicates that traffic condition is even worse in the urban center because of factors such as congestion.
The HQC are more concentrated on workdays and more scattered on nonworkdays, which implies that the public have different travel habits and demands on workdays and nonworkdays.
The proportion of HQC in each administrative district or functional zone is not always positively correlated to either the proportion of total orders or the total HQC.
This indicates that the distribution of HQC in each administrative district or functional zone is imbalanced.
The proportion of orders and that of HQC are roughly the same in the temporal dimension, being higher in the morning and evening rush hours.
Compared with the distribution of the HQC of ride-hailing, that of taxis is more imbalanced in the temporal dimension.
Relevant departments should further coordinate taxi pricing, strengthen market control, and promote sustainable development in the taxi and ride-hailing markets.
American Psychological Association (APA)
Hu, Beibei& Xia, Xuanxuan& Shen, Xinyi& Dong, Xianlei. 2019. Analyses of the Imbalance of Urban Taxis’ High-Quality Customers Based on Didi Trajectory Data. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1169793
Modern Language Association (MLA)
Hu, Beibei…[et al.]. Analyses of the Imbalance of Urban Taxis’ High-Quality Customers Based on Didi Trajectory Data. Journal of Advanced Transportation No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1169793
American Medical Association (AMA)
Hu, Beibei& Xia, Xuanxuan& Shen, Xinyi& Dong, Xianlei. Analyses of the Imbalance of Urban Taxis’ High-Quality Customers Based on Didi Trajectory Data. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1169793
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169793