Xiaowei Shi , Zhiwei Chen , Xiaopeng Li , Xiaobo Qu
{"title":"模块化车辆可减少离港航班行李运输的温室气体排放","authors":"Xiaowei Shi , Zhiwei Chen , Xiaopeng Li , Xiaobo Qu","doi":"10.1016/j.jairtraman.2024.102633","DOIUrl":null,"url":null,"abstract":"<div><p>Rapid and on-time baggage transportation plays a crucial role in ensuring customer satisfaction and is an important source of greenhouse gas (GHG) emissions in the aviation sector. Modular Vehicle (MV) is an emerging transportation technology that allows vehicles to adjust their capacity flexibly by assembling or disassembling identical detachable units. This innovative technology offers a new perspective to decarbonize the aviation sector, as it holds promise for reducing GHG emissions in flight baggage transportation. To investigate this possibility, this study proposes an MV operation paradigm and a corresponding “greenest” MV scheduling problem that aims to minimize MV-relevant GHG emissions while transporting baggage from the terminal to the aircraft without delay. To solve the problem efficiently, a fast construction-merging heuristic is proposed based on the theoretical properties of the problem. A series of case studies at the Tampa International Airport were conducted to evaluate the performance of the proposed MV operation and the construction-merging heuristic. The results indicate that the proposed MV operation effectively reduces GHG emissions, and the heuristic solves near-optimal solutions to the investigated problem much faster than Gurobi, a state-of-the-art commercial solver for integer programs, without much loss of the optimality of the solutions. Results from this study provide important managerial and operational insights into decarbonizing baggage transportation for airport operators.</p></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"119 ","pages":"Article 102633"},"PeriodicalIF":3.9000,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modular vehicles can reduce greenhouse gas emissions for departure flight baggage transportation\",\"authors\":\"Xiaowei Shi , Zhiwei Chen , Xiaopeng Li , Xiaobo Qu\",\"doi\":\"10.1016/j.jairtraman.2024.102633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Rapid and on-time baggage transportation plays a crucial role in ensuring customer satisfaction and is an important source of greenhouse gas (GHG) emissions in the aviation sector. Modular Vehicle (MV) is an emerging transportation technology that allows vehicles to adjust their capacity flexibly by assembling or disassembling identical detachable units. This innovative technology offers a new perspective to decarbonize the aviation sector, as it holds promise for reducing GHG emissions in flight baggage transportation. To investigate this possibility, this study proposes an MV operation paradigm and a corresponding “greenest” MV scheduling problem that aims to minimize MV-relevant GHG emissions while transporting baggage from the terminal to the aircraft without delay. To solve the problem efficiently, a fast construction-merging heuristic is proposed based on the theoretical properties of the problem. A series of case studies at the Tampa International Airport were conducted to evaluate the performance of the proposed MV operation and the construction-merging heuristic. The results indicate that the proposed MV operation effectively reduces GHG emissions, and the heuristic solves near-optimal solutions to the investigated problem much faster than Gurobi, a state-of-the-art commercial solver for integer programs, without much loss of the optimality of the solutions. Results from this study provide important managerial and operational insights into decarbonizing baggage transportation for airport operators.</p></div>\",\"PeriodicalId\":14925,\"journal\":{\"name\":\"Journal of Air Transport Management\",\"volume\":\"119 \",\"pages\":\"Article 102633\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Air Transport Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S096969972400098X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Air Transport Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S096969972400098X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
Modular vehicles can reduce greenhouse gas emissions for departure flight baggage transportation
Rapid and on-time baggage transportation plays a crucial role in ensuring customer satisfaction and is an important source of greenhouse gas (GHG) emissions in the aviation sector. Modular Vehicle (MV) is an emerging transportation technology that allows vehicles to adjust their capacity flexibly by assembling or disassembling identical detachable units. This innovative technology offers a new perspective to decarbonize the aviation sector, as it holds promise for reducing GHG emissions in flight baggage transportation. To investigate this possibility, this study proposes an MV operation paradigm and a corresponding “greenest” MV scheduling problem that aims to minimize MV-relevant GHG emissions while transporting baggage from the terminal to the aircraft without delay. To solve the problem efficiently, a fast construction-merging heuristic is proposed based on the theoretical properties of the problem. A series of case studies at the Tampa International Airport were conducted to evaluate the performance of the proposed MV operation and the construction-merging heuristic. The results indicate that the proposed MV operation effectively reduces GHG emissions, and the heuristic solves near-optimal solutions to the investigated problem much faster than Gurobi, a state-of-the-art commercial solver for integer programs, without much loss of the optimality of the solutions. Results from this study provide important managerial and operational insights into decarbonizing baggage transportation for airport operators.
期刊介绍:
The Journal of Air Transport Management (JATM) sets out to address, through high quality research articles and authoritative commentary, the major economic, management and policy issues facing the air transport industry today. It offers practitioners and academics an international and dynamic forum for analysis and discussion of these issues, linking research and practice and stimulating interaction between the two. The refereed papers in the journal cover all the major sectors of the industry (airlines, airports, air traffic management) as well as related areas such as tourism management and logistics. Papers are blind reviewed, normally by two referees, chosen for their specialist knowledge. The journal provides independent, original and rigorous analysis in the areas of: • Policy, regulation and law • Strategy • Operations • Marketing • Economics and finance • Sustainability