Sustainable Emergency Management Based on Intelligent Information Processing
In this paper, we introduce how to identify, rank, evaluate, and respond to risks based on intelligent information processing, providing new ideas and research directions for sustainable emergency management. First, we discuss the contributions and deficiencies of the existing research that have inf...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-02-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | https://www.mdpi.com/2071-1050/12/3/1081 |
id |
doaj-420117176a4b45c29c53184bfaa2117c |
---|---|
record_format |
Article |
spelling |
doaj-420117176a4b45c29c53184bfaa2117c2020-11-25T01:38:34ZengMDPI AGSustainability2071-10502020-02-01123108110.3390/su12031081su12031081Sustainable Emergency Management Based on Intelligent Information ProcessingYu-Meng Luo0Wei Liu1Xiao-Guang Yue2Marc A. Rosen3Business School, Qingdao University, Qingdao 266100, ChinaBusiness School, Qingdao University, Qingdao 266100, ChinaRattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology, Rattanakosin 10700, ThailandFaculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, ON L1G 0C5, CanadaIn this paper, we introduce how to identify, rank, evaluate, and respond to risks based on intelligent information processing, providing new ideas and research directions for sustainable emergency management. First, we discuss the contributions and deficiencies of the existing research that have informed the development and launch of this Special Issue and, second, we provide an overview of the three articles included. In addition, this article introduces this particular Special Issue, not only to complement the somewhat lacking body of related literature, but also to help contemporary companies deal with issues related to sustainable emergency management based on intelligent information processing.https://www.mdpi.com/2071-1050/12/3/1081emergency managementartificial intelligenceinformationsustainability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yu-Meng Luo Wei Liu Xiao-Guang Yue Marc A. Rosen |
spellingShingle |
Yu-Meng Luo Wei Liu Xiao-Guang Yue Marc A. Rosen Sustainable Emergency Management Based on Intelligent Information Processing Sustainability emergency management artificial intelligence information sustainability |
author_facet |
Yu-Meng Luo Wei Liu Xiao-Guang Yue Marc A. Rosen |
author_sort |
Yu-Meng Luo |
title |
Sustainable Emergency Management Based on Intelligent Information Processing |
title_short |
Sustainable Emergency Management Based on Intelligent Information Processing |
title_full |
Sustainable Emergency Management Based on Intelligent Information Processing |
title_fullStr |
Sustainable Emergency Management Based on Intelligent Information Processing |
title_full_unstemmed |
Sustainable Emergency Management Based on Intelligent Information Processing |
title_sort |
sustainable emergency management based on intelligent information processing |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-02-01 |
description |
In this paper, we introduce how to identify, rank, evaluate, and respond to risks based on intelligent information processing, providing new ideas and research directions for sustainable emergency management. First, we discuss the contributions and deficiencies of the existing research that have informed the development and launch of this Special Issue and, second, we provide an overview of the three articles included. In addition, this article introduces this particular Special Issue, not only to complement the somewhat lacking body of related literature, but also to help contemporary companies deal with issues related to sustainable emergency management based on intelligent information processing. |
topic |
emergency management artificial intelligence information sustainability |
url |
https://www.mdpi.com/2071-1050/12/3/1081 |
work_keys_str_mv |
AT yumengluo sustainableemergencymanagementbasedonintelligentinformationprocessing AT weiliu sustainableemergencymanagementbasedonintelligentinformationprocessing AT xiaoguangyue sustainableemergencymanagementbasedonintelligentinformationprocessing AT marcarosen sustainableemergencymanagementbasedonintelligentinformationprocessing |
_version_ |
1725052972304433152 |