The air transport research society world conference:A data science-based literature review on the years 2014-2024  

作　　者：Anming Zhang Yulai Wan 

机构地区：[1]Sauder School of Business,University of British Columbia,Vancouver,BC,Canada [2]Department of Logistics and Maritime Studies,Faculty of Business,Hong Kong Polytechnic University,Hong Kong,China

出　　处：《Journal of the Air Transport Research Society》2024年第2期188-202,共15页航空交通(英文)

摘　　要：The Air Transport Research Society(ATRS)World Conference is one of the major venues for air transport research.The conference covers a wide range of research talks,practice/industrial sessions,and research workshop activities.In this paper,we perform a data-driven analysis of the research abstracts that have been accepted and presented at the conference since 2014.We have grouped the abstracts from the ten annual conferences using t-distributed stochastic neighbor embedding to map high-dimensional keyword vectors into a two-dimensional plane for clustering,analysis,and visualization.The major focus of our study concerns three directions.First,we provide a formal description of the actual research presented at the ATRS World Conference series by using methods from natural language processing and machine learning,leading to a data-driven classification consisting of 35 major subject categories.Second,we analyze the origin of main authors/presenters and their background,including their institutions and countries of origin.Third,we perform a network-driven analysis of co-authorships across abstracts to identify the role and importance of key researchers in the community.Finally,we provide an analysis of popular research topics indicated by authors when submitting their abstracts,and a set of major recommendations for future work,based on the insights obtained from our study.

关 键 词：ATRS world conference series Literature review Data-driven classification Network-driven co-authorship analysis Air transportation research 

分 类 号：Z89[文化科学]