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Addressing the Bike Repositioning Problem in Bike Sharing System: A Two-Stage Stochastic Programming Model

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成果类型:
期刊论文
作者:
Tang, Qiong;Fu, Zhuo*;Zhang, Dezhi;Guo, Hao;Li, Minyi
通讯作者:
Fu, Zhuo
作者机构:
[Tang, Qiong; Fu, Zhuo; Zhang, Dezhi] Cent South Univ, Sch Traff & Transportat Engn, Changsha 410075, Peoples R China.
[Tang, Qiong] Hengyang Normal Univ, Coll Econ & Management, Hengyang 421002, Peoples R China.
[Tang, Qiong; Fu, Zhuo; Zhang, Dezhi] Smart Transport Key Lab Hunan Prov, Changsha 410075, Peoples R China.
[Guo, Hao] Jinan Univ, Sch Management, Guangzhou 510632, Peoples R China.
[Li, Minyi] RMIT Univ, Sch Sci, Melbourne, Vic 3000, Australia.
通讯机构:
[Fu, Zhuo] C
[Fu, Zhuo] S
Cent South Univ, Sch Traff & Transportat Engn, Changsha 410075, Peoples R China.
Smart Transport Key Lab Hunan Prov, Changsha 410075, Peoples R China.
语种:
英文
期刊:
Scientific Programming
ISSN:
1058-9244
年:
2020
卷:
2020
页码:
8868892:1-8868892:12
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71271220]; Project of Social Science Achievement Review Committee of Hunan Province [XSP20YBZ165]
机构署名:
本校为其他机构
院系归属:
经济与管理学院
摘要:
In this paper, a bike repositioning problem with stochastic demand is studied. The problem is formulated as a two-stage stochastic programming model to optimize the routing and loading/unloading decisions of the repositioning truck at each station and depot under stochastic demands. The goal of the model is to minimize the expected total sum of the transportation costs, the expected penalty costs at all stations, and the holding cost of the depot. A simulated annealing algorithm is developed to solve the model. Numerical experiments are conducted on a set of instances from 20 to 90 stations to...

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