Reducing CO_(2)emissions from the rebalancing operation of the bike-sharing system in Beijing

作     者：Meng QIN Jiayu WANG Wei-Ming CHEN Ke WANG Meng QIN;Jiayu WANG;Wei-Ming CHEN;Ke WANG

作者机构：Center for Energy and Environmental Policy ResearchBeijing Institute of TechnologyBeijing 100081China School of Management and EconomicsBeijing Institute of TechnologyBeijing 100081China Sustainable Development Research Institute for Economy and Society of BeijingBeijing 100081China Beijing Key Lab of Energy Economics and Environmental ManagementBeijing 100081China 

出 版 物：《Frontiers of Engineering Management》 (工程管理前沿（英文版）)

年 卷 期：2023年第10卷第2期

页      面：262-284页

核心收录：

学科分类：082803[工学-农业生物环境与能源工程] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0828[工学-农业工程] 09[农学] 0903[农学-农业资源与环境] 

基　　金：This work was supported by the National Natural Science Foundation of China(Grant Nos.71871022,71828401 and 71521002) the Joint Development Program of Beijing Municipal Commission of Education,the Fok Ying Tung Education Foundation(Grant No.161076) the National Key R&D Program(Grant No.2016YFA0602603) the National Program for Support of Top-notch Young Professionals 

主　　题：bike-sharing CO_(2)emissions environmental benefit partitioning strategy rebalancing problem 

摘      要：With the development of the bike-sharing system(BSS)and the introduction of green and low carbon development,the environmental impacts of BSS had received increasing attention in recent ***,the emissions from the rebalancing of BSS,where fossil-fueled vehicles are commonly used,are usually neglected,which goes against the idea of green travel in a sharing *** studies on the bike-sharing rebalancing problem(BRP),which is considered NP-hard,have mainly focused on algorithm innovation instead of improving the solution model,thereby hindering the application of many existing models in large-scale *** study then proposes a method for optimizing the CO_(2)emissions from BRP and takes the BSS of Beijing as a *** initially analyze the spatial and temporal characteristics of BSS,especially the flow between districts,and find that each district can be independently ***,we develop a rebalancing optimization model based on a partitioning strategy to avoid deciding the number of bikes being loaded or unloaded at each parking *** then employ the tabu search algorithm to solve the *** show that(i)due to over launch and lack of planning in rebalancing,the BSS in Beijing shows great potential for optimization,such as by reducing the number of vehicle routes,CO_(2)emissions,and unmet demands;(ii)the CO_(2)emissions of BSS in Beijing can be reduced by 57.5%by forming balanced parking nodes at the end of the day and decreasing the repetition of vehicle routes and the loads of vehicles;and(iii)the launch amounts of bikes in specific districts,such as Shijingshan and Mentougou,should be increased.