Mapping the knowledge domain of soft computing applications for emergency evacuation studies

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

Liang, Benbu (TU Delft System Engineering; TU Delft Multi Actor Systems; Wuhan University of Technology)
van der Wal, C.N. (TU Delft Multi Actor Systems; TU Delft System Engineering)
Xie, Kefan (Wuhan University of Technology)
Chen, Y. (TU Delft Materials and Environment; Wuhan University of Technology)
Brazier, F.M. (TU Delft Multi Actor Systems; TU Delft System Engineering)
Dulebenets, Maxim A. (Florida State University)
Liu, Zimei (Huazhong Agricultural University)

Multi Actor Systems

2022

Emergency evacuation is viewed as a common strategy adopted during the disaster preparedness stage of evacuation to ensure the safety of potentially affected populations. In emergency evacuation studies, soft computing approaches and methodologies have been widely used to support effective decision-making, providing robust and low-cost solutions. To understand the current status and trends of research on soft computing applications for emergency evacuation studies, 778 related studies published in the core database of Web of Science from 2000 to 2020 were considered in this study. A scientometric analysis and a comprehensive review were performed using a scientific mapping of the knowledge domain. This paper presents a set of analyses with the following primary objectives: (1) to explore and visualize the bibliometric characteristics and contents of the academic field concerned with the soft computing approaches for emergency evacuation; and (2) to review and analyze the knowledge, hotspots, and future outlooks related to soft computing approaches for emergency evacuation. The results provide some important insights regarding the existing soft computing methods that have been used in the emergency evacuation field over the past 20 years. Based on the conducted review, this paper proposes that future studies should concentrate on exploring the potential of innovative soft computing approaches for crowd modelling and enabling more accurate evacuation simulation and optimization.

Disaster management
Emergency evacuation
Knowledge domain
Scientometric analysis
Soft computing

http://resolver.tudelft.nl/uuid:5c3e052f-9f99-4052-8e77-e01b42b4f1a7

https://doi.org/10.1016/j.ssci.2022.105955

2023-04-15

0925-7535

Safety Science, 158

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

review

© 2022 Benbu Liang, C.N. van der Wal, Kefan Xie, Y. Chen, F.M. Brazier, Maxim A. Dulebenets, Zimei Liu