Bike sharing rebalancing problem with variable demand

被引：16

作者：

Wang, Xu ^{[1
]}

Sun, Huijun ^{[2
]}

Zhang, Si ^{[2
]}

Lv, Ying ^{[2
]}

Li, Tongfei ^{[3
]}

机构：

[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China

[2] Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Minist Transport, Beijing, Peoples R China

[3] Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2022年 / 591卷

基金：

中国国家自然科学基金;

关键词：

Routing; Free-floating bike-sharing; Variable demand; REPOSITIONING PROBLEM; SYSTEMS; RELOCATION; ALGORITHM;

D O I：

10.1016/j.physa.2021.126766

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This paper investigates an extended bike-sharing rebalancing problem called the bike sharing rebalancing problem with variable demand (BRPVD), which considers the influence of the number of bikes distributed by the operator on users' demand. The solutions to the BRPVD aim at maximizing the profit of bike-sharing operators by making routing plans of transport vehicles and determining the target number of bikes at each station after redistribution operation. The problem is modeled as a mixed-integer non-linear programming model and is linearized into a mixed-inter linear programming model. The model is tested in cases adopting real Beijing Mobike data, revealing that the rebalancing behavior significantly impacts users' demand, hence guiding the operator. (C) 2021 Published by Elsevier B.V.

引用

页数：14

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