Journal article
Coupling coordination analysis with data-driven technology for disaster-economy-ecology system: an empirical study in China
Natural hazards (Dordrecht), v 107(3), pp 2123-2153
01 Jul 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
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Details
- Title
- Coupling coordination analysis with data-driven technology for disaster-economy-ecology system: an empirical study in China
- Creators
- LuE Gan - Sichuan Agr Univ, Coll Architecture & Urban Rural Planning, Dujiangyan 611830, Peoples R ChinaYuanyuan Wang - Sichuan Agr Univ, Coll Architecture & Urban Rural Planning, Dujiangyan 611830, Peoples R ChinaYusheng Wang - Nanjing University of Information Science and TechnologyBenjamin Lev - Drexel UniversityWenjing Shen - Drexel UniversityWen Jiang - Sichuan Agricultural University
- Publication Details
- Natural hazards (Dordrecht), v 107(3), pp 2123-2153
- Publisher
- Springer Nature
- Number of pages
- 31
- Grant note
- BK20180792 / Natural Science Foundation of Jiangsu Province 2019L12 / Chengdu Philosophy and Social Science Planning Research Funds 71801135 / National Natural Science Foundation of China (NSFC) 19YJC630063 / MOE (Ministry of Education in China) Project of Humanities and Social Sciences 2020YJ0365; 2020JDR0209 / Sichuan Science and Technology Program 2019-RK00-00311-ZF / Chengdu Science and Technology
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000655837800002
- Scopus ID
- 2-s2.0-85106764572
- Other Identifier
- 991019168408504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Geosciences, Multidisciplinary
- Meteorology & Atmospheric Sciences
- Water Resources