Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles

Jintao Ke; Xuekai Cen; Hai Yang; Xiqun Chen; Jieping Ye

doi:10.1016/j.tre.2019.03.010

Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles

Jintao Ke, Xuekai Cen, Hai Yang, Xiqun Chen, Jieping Ye

Research output: Journal article publication › Journal article › Academic research › peer-review

71 Citations (Scopus)

Abstract

Recently, electric vehicles (EVs) have been introduced to the ride-sourcing market, raising interesting issues on the interaction between EVs and the ride-sourcing market. This study proposes an analytical framework for understanding drivers’ behavior in the ride-sourcing market with both EVs and gasoline vehicles (GVs). A time-expanded network is established to sketch out the schedules of working periods of both EV and GV drivers, and recharging schedules of EV drivers under the user equilibrium. The impacts of operating strategies of ride-sourcing platforms and electrical power suppliers on the benefits of different stakeholders are investigated both analytically and numerically.

Original language	English
Pages (from-to)	160-180
Number of pages	21
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	125
DOIs	https://doi.org/10.1016/j.tre.2019.03.010
Publication status	Published - May 2019
Externally published	Yes

Keywords

Electric vehicle
Recharging schedule
Ride-sourcing market
Time-expanded network
Working schedule

ASJC Scopus subject areas

Business and International Management
Civil and Structural Engineering
Transportation

More information

10.1016/j.tre.2019.03.010

Cite this

@article{7845c805f01b45f6855abbb4e91f7481,

title = "Modelling drivers{\textquoteright} working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles",

abstract = "Recently, electric vehicles (EVs) have been introduced to the ride-sourcing market, raising interesting issues on the interaction between EVs and the ride-sourcing market. This study proposes an analytical framework for understanding drivers{\textquoteright} behavior in the ride-sourcing market with both EVs and gasoline vehicles (GVs). A time-expanded network is established to sketch out the schedules of working periods of both EV and GV drivers, and recharging schedules of EV drivers under the user equilibrium. The impacts of operating strategies of ride-sourcing platforms and electrical power suppliers on the benefits of different stakeholders are investigated both analytically and numerically.",

keywords = "Electric vehicle, Recharging schedule, Ride-sourcing market, Time-expanded network, Working schedule",

author = "Jintao Ke and Xuekai Cen and Hai Yang and Xiqun Chen and Jieping Ye",

note = "Funding Information: This research is financially supported by Hong Kong Research Grants Council (HKUST16222916), National Key Research and Development Program of China (2018YFB1600904), Zhejiang Provincial Natural Science Foundation of China (LR17E080002), National Natural Science Foundation of China (71771198, 7181101222), and Young Elite Scientists Sponsorship Program by CAST (2018QNRC001). Funding Information: This research is financially supported by Hong Kong Research Grants Council ( HKUST16222916 ), National Key Research and Development Program of China ( 2018YFB1600904 ), Zhejiang Provincial Natural Science Foundation of China ( LR17E080002 ), National Natural Science Foundation of China ( 71771198 , 7181101222 ), and Young Elite Scientists Sponsorship Program by CAST ( 2018QNRC001 ). Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

year = "2019",

month = may,

doi = "10.1016/j.tre.2019.03.010",

language = "English",

volume = "125",

pages = "160--180",

journal = "Transportation Research Part E: Logistics and Transportation Review",

issn = "1366-5545",

publisher = "Elsevier Ltd",

}

Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles. / Ke, Jintao; Cen, Xuekai; Yang, Hai et al.
In: Transportation Research Part E: Logistics and Transportation Review, Vol. 125, 05.2019, p. 160-180.

Research output: Journal article publication › Journal article › Academic research › peer-review

TY - JOUR

T1 - Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles

AU - Ke, Jintao

AU - Cen, Xuekai

AU - Yang, Hai

AU - Chen, Xiqun

AU - Ye, Jieping

N1 - Funding Information: This research is financially supported by Hong Kong Research Grants Council (HKUST16222916), National Key Research and Development Program of China (2018YFB1600904), Zhejiang Provincial Natural Science Foundation of China (LR17E080002), National Natural Science Foundation of China (71771198, 7181101222), and Young Elite Scientists Sponsorship Program by CAST (2018QNRC001). Funding Information: This research is financially supported by Hong Kong Research Grants Council ( HKUST16222916 ), National Key Research and Development Program of China ( 2018YFB1600904 ), Zhejiang Provincial Natural Science Foundation of China ( LR17E080002 ), National Natural Science Foundation of China ( 71771198 , 7181101222 ), and Young Elite Scientists Sponsorship Program by CAST ( 2018QNRC001 ). Publisher Copyright: © 2019 Elsevier Ltd

PY - 2019/5

Y1 - 2019/5

N2 - Recently, electric vehicles (EVs) have been introduced to the ride-sourcing market, raising interesting issues on the interaction between EVs and the ride-sourcing market. This study proposes an analytical framework for understanding drivers’ behavior in the ride-sourcing market with both EVs and gasoline vehicles (GVs). A time-expanded network is established to sketch out the schedules of working periods of both EV and GV drivers, and recharging schedules of EV drivers under the user equilibrium. The impacts of operating strategies of ride-sourcing platforms and electrical power suppliers on the benefits of different stakeholders are investigated both analytically and numerically.

AB - Recently, electric vehicles (EVs) have been introduced to the ride-sourcing market, raising interesting issues on the interaction between EVs and the ride-sourcing market. This study proposes an analytical framework for understanding drivers’ behavior in the ride-sourcing market with both EVs and gasoline vehicles (GVs). A time-expanded network is established to sketch out the schedules of working periods of both EV and GV drivers, and recharging schedules of EV drivers under the user equilibrium. The impacts of operating strategies of ride-sourcing platforms and electrical power suppliers on the benefits of different stakeholders are investigated both analytically and numerically.

KW - Electric vehicle

KW - Recharging schedule

KW - Ride-sourcing market

KW - Time-expanded network

KW - Working schedule

UR - http://www.scopus.com/inward/record.url?scp=85062883626&partnerID=8YFLogxK

U2 - 10.1016/j.tre.2019.03.010

DO - 10.1016/j.tre.2019.03.010

M3 - Journal article

AN - SCOPUS:85062883626

SN - 1366-5545

VL - 125

SP - 160

EP - 180

JO - Transportation Research Part E: Logistics and Transportation Review

JF - Transportation Research Part E: Logistics and Transportation Review

ER -

Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this