气候变化领域集成服务门户(CCPortal): Coupling coordination analysis with data-driven technology for disaster–economy–ecology system: an empirical study in China

CCPortal

DOI	10.1007/s11069-021-04787-6
	Coupling coordination analysis with data-driven technology for disaster–economy–ecology system: an empirical study in China
	Gan L.; Wang Y.; Wang Y.; Lev B.; Shen W.; Jiang W.
发表日期	2021
ISSN	0921030X
起始页码	2123
结束页码	2153
卷号	107 期号:3
英文摘要	Nowadays, frequent meteorological disasters that cause huge economic losses and ecological damages have swept the world. Thus, research investigates how to overcome the adverse impacts of storm debris flow by exploring sustainable interaction among disaster, economy, and ecology. To achieve this goal, the study analyzes coupling coordination for disaster–economy–ecology system through data-driven technology named Scrapy engine. To be specific, a comprehensive index system of disaster–economy–ecology is established. Accordingly, a projection pursuit method is used to reduce the dimensions of data involved in the system. Then, an integrated weighting method of interval-valued hesitant fuzzy entropy and maximum deviation of weight is utilized. For further analysis of the internal laws in disaster–economy–ecology system, a coupling coordination model based on order preference by similarity to ideal solution is proposed. Moreover, a back-propagation artificial neural network is designed to identify the key influencing factors in disaster–economy–ecology system. Finally, an empirical study is carried out using the panel data related to storm debris flow of 31 provincial areas in China within 11 years to illustrate the study. The study results show that the overall sustainable development of disaster, economy, and ecology in China does not achieve an ideal status. Various measures based on local conditions are required to improve the imbalanced development of disaster–economy–ecology system in different areas of China. At last, strategic suggestions for sustainable development of disaster–economy–ecology system are provided. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	Coupling coordination degree Data-driven technology Disaster–economy–ecology system Multi-attribute decision Storm debris flow Sustainable development
英文关键词	debris flow; decision analysis; disaster management; empirical analysis; sustainable development; technology adoption; China
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206227
作者单位	College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Dujiangyan, 611830, China; School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China; LeBow College of Business, Drexel University, Philadelphia, PA 19104, United States
推荐引用方式 GB/T 7714	Gan L.,Wang Y.,Wang Y.,等. Coupling coordination analysis with data-driven technology for disaster–economy–ecology system: an empirical study in China[J],2021,107(3).
APA	Gan L.,Wang Y.,Wang Y.,Lev B.,Shen W.,&Jiang W..(2021).Coupling coordination analysis with data-driven technology for disaster–economy–ecology system: an empirical study in China.Natural Hazards,107(3).
MLA	Gan L.,et al."Coupling coordination analysis with data-driven technology for disaster–economy–ecology system: an empirical study in China".Natural Hazards 107.3(2021).