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新冠疫情下的人类流动行为:系统文献综述与文献计量分析

Human mobility behavior in COVID-19: A systematic literature review and bibliometric analysis.

作者信息

Benita Francisco

机构信息

Engineering Systems and Design, Singapore University of Technology and Design, 8 Somapah Road, 487372, Singapore.

出版信息

Sustain Cities Soc. 2021 Jul;70:102916. doi: 10.1016/j.scs.2021.102916. Epub 2021 Apr 13.

Abstract

This article maps the scientific literature in human mobility behavior in the context of the current pandemic. Through bibliometrics, we analyze the content of published scientific studies indexed on the Web of Science and Scopus during 2020. This enables us the detection of current hotspots and future directions of research. After a co-occurrence of keywords and evidence map analysis, four themes are identified, namely, Land Transport - Operations, Land Transport - Traffic Demand, Air Transport and Environment. We show how air transportation- and environmental-related studies tend to be more mature research whereas the understanding of changes in travel behavior (e.g., telecommuting, preventive measures or health protection behavior) tends to be immature. By using a topic modeling approach, we identify multiple sub-themes within each theme. Our framework adopts a smart literature review approach that can be constantly updated, enabling an analysis of many articles, with little investment of the researcher's time, but also provides high degree of transparency and replicability. We also put forth a research agenda that can help inform and shape transport policy and practice responses to COVID-19.

摘要

本文梳理了当前疫情背景下人类出行行为方面的科学文献。通过文献计量学方法,我们分析了2020年期间在科学网和Scopus上索引的已发表科学研究的内容。这使我们能够发现当前的研究热点和未来的研究方向。经过关键词共现和证据图谱分析,确定了四个主题,即陆路运输——运营、陆路运输——交通需求、航空运输和环境。我们展示了与航空运输和环境相关的研究往往更为成熟,而对出行行为变化(如远程办公、预防措施或健康保护行为)的理解则往往不够成熟。通过使用主题建模方法,我们在每个主题中识别出多个子主题。我们的框架采用了一种智能文献综述方法,该方法可以不断更新,能够分析大量文章,只需研究人员投入很少的时间,同时还具有高度的透明度和可重复性。我们还提出了一个研究议程,有助于为应对新冠疫情的交通政策和实践提供信息并塑造相关应对措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28ae/9187318/0457ce36984b/gr1_lrg.jpg

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