Design of Electric Bus Transit Routes with Charging Stations under Demand Uncertainty
Xiaoqing Su,
Lanqing Jiang and
Yucheng Huang ()
Additional contact information
Xiaoqing Su: CCCC Second Highway Consultants Co., Ltd., 18 Chuangye Road, Caidian District, Wuhan 430100, China
Lanqing Jiang: Jiangsu Baisheng Engineering Consultants Co., Ltd., 12F, Block C, Fuying Building, 99 Tuanjie Road, Jianbei New District, Nanjin 210004, China
Yucheng Huang: School of Rail Transportation, Soochow University, Suzhou 215137, China
Energies, 2023, vol. 16, issue 4, 1-16
Abstract:
This paper investigates the design problem of an electric bus (E-bus) route with charging stations to smooth the operations between E-bus service and charging. The design variables include the locations of E-bus stops, number of charging piles at charging stations, fare, and headway. A mathematical programming model is proposed to maximize social welfare in consideration of the uncertain charging demand at charging stations. The model solution algorithm is also designed. The model and algorithm are demonstrated on the E-bus route 931 in the city of Suzhou, China. The results of the case studies show that (i) the right number of stops on a bus route can contribute to the highest social welfare; (ii) the pile–bus ratio decreases with the increase of E-bus fleet size, thereby improving the E-bus charging efficiency at charging stations; and (iii) deploying charging stations at one end of a bus route can achieve a shorter waiting time for E-bus compared with deployment at two ends.
Keywords: transportation planning; E-bus; charging facility; bus route design; social welfare (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:4:p:1848-:d:1066978
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