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 

机构地区：[1]Center for Energy and Environmental Policy Research,Beijing Institute of Technology,Beijing 100081,China [2]School of Management and Economics,Beijing Institute of Technology,Beijing 100081,China [3]Sustainable Development Research Institute for Economy and Society of Beijing,Beijing 100081,China [4]Beijing Key Lab of Energy Economics and Environmental Management,Beijing 100081,China

出　　处：《Frontiers of Engineering Management》2023年第2期262-284,共23页工程管理前沿（英文版）

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.

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 years.However,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 economy.Previous 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 BRP.This study then proposes a method for optimizing the CO_(2)emissions from BRP and takes the BSS of Beijing as a demonstration.We initially analyze the spatial and temporal characteristics of BSS,especially the flow between districts,and find that each district can be independently rebalanced.Afterward,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 node.We then employ the tabu search algorithm to solve the model.Results 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.

关 键 词：bike-sharing CO_(2)emissions environmental benefit partitioning strategy rebalancing problem 

分 类 号：X71[环境科学与工程—环境工程]