{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T04:10:23Z","timestamp":1741666223436,"version":"3.38.0"},"reference-count":17,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IDT"],"published-print":{"date-parts":[[2020,9,29]]},"abstract":"<jats:p>Natural disaster that contributes to the economic crisis all over the world has a crucial role in emergency management. The assessment of regional risk to natural disasters is normally studied as a multi-criteria decision making (MCDM) problem in the literature. However little effort was devoted into the comparison of temporary disaster risk of regions. In this paper, a hybrid approach is proposed integrating MCDM and clustering for evaluating and comparing the regional risk to natural disasters. Our two-stage method is applied to thirty-one Chinese regions over the past two consecutive years. In the first stage MCDM is used to prioritize the regions yearly yielding a set of risk vectors over the given period. In the second stage, K-means clustering is applied to divide the regions into a number of clusters characterized by different risk variation patterns. The derived patterns reveal the variation of regions in perspective of natural disaster risk and therefore offer valuable suggestions for disaster risk reduction.<\/jats:p>","DOI":"10.3233\/idt-190086","type":"journal-article","created":{"date-parts":[[2020,8,18]],"date-time":"2020-08-18T16:12:06Z","timestamp":1597767126000},"page":"349-357","source":"Crossref","is-referenced-by-count":2,"title":["Risk assessment and comparison of regional natural disasters in China using clustering"],"prefix":"10.1177","volume":"14","author":[{"given":"Ning","family":"Chen","sequence":"first","affiliation":[{"name":"Beijing Municipal Institute of Labor Protection, Beijing, China"}]},{"given":"Yingchao","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Economics, Wuhan University of Technology, Wuhan, Hubei, China"},{"name":"Safety and Emergency Management, Research Center Henan Polytechnic University, Jiaozuo, Henan, China"}]},{"given":"Chaosheng","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan, China"}]},{"given":"An","family":"Chen","sequence":"additional","affiliation":[{"name":"Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China"},{"name":"University of Chinese Academy of Sciences, Beijing, China"}]},{"given":"Xiaohui","family":"Yao","sequence":"additional","affiliation":[{"name":"Beijing Municipal Institute of Labor Protection, Beijing, China"}]}],"member":"179","reference":[{"issue":"2","key":"10.3233\/IDT-190086_ref1","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1007\/s11069-012-0180-y","article-title":"Flood loss analysis and quantitative risk assessment in China","volume":"63","author":"Li","year":"2012","journal-title":"Natural Hazards"},{"issue":"11","key":"10.3233\/IDT-190086_ref2","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.3390\/ijerph14111330","article-title":"Research on storm-tide disaster losses in China using a new grey relational analysis model with the dispersion of panel data","volume":"14","author":"Yin","year":"2017","journal-title":"International Journal of Environmental Research & Public Health"},{"issue":"2","key":"10.3233\/IDT-190086_ref3","first-page":"L1","article-title":"Assessment of disaster emergency management ability based on the interval-valued fuzzy TOPSIS method","volume":"145","author":"Jing","year":"2009","journal-title":"Communications in Computer & Information Science"},{"issue":"5","key":"10.3233\/IDT-190086_ref4","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1016\/j.asoc.2014.05.035","article-title":"A new flexible and reliable IVF-TOPSIS method based on uncertainty risk reduction in decision making process","volume":"23","author":"Mokhtarian","year":"2014","journal-title":"Applied Soft Computing"},{"issue":"17","key":"10.3233\/IDT-190086_ref5","doi-asserted-by":"crossref","first-page":"17277","DOI":"10.1007\/s11356-016-6911-y","article-title":"A triangular fuzzy TOPSIS-based approach for the application of water technologies in different emergency water supply scenarios","volume":"23","author":"Qu","year":"2016","journal-title":"Environ Sci Pollut Res Int"},{"issue":"9","key":"10.3233\/IDT-190086_ref6","doi-asserted-by":"crossref","first-page":"461","DOI":"10.5194\/nhessd-2-5903-2014","article-title":"GIS modelling of seismic vulnerability of residential fabrics considering geotechnical, structural, social and physical distance indicators in Tehran City using multi-criteria decision-making (MCDM) techniques","volume":"2","author":"Rezaie","year":"2014","journal-title":"Natural Hazards & Earth System Sciences Discussions"},{"key":"10.3233\/IDT-190086_ref7","first-page":"1992","article-title":"Assessment of social vulnerability to natural disasters of cities based on TOPSIS: A case study of shanghai city","volume":"163","author":"Zhang","year":"2014","journal-title":"Journal of Catastrophology"},{"issue":"2","key":"10.3233\/IDT-190086_ref8","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1007\/s11069-017-2984-2","article-title":"Regional disaster risk evaluation of China based on the universal risk model","volume":"89","author":"Chen","year":"2017","journal-title":"Natural Hazards"},{"key":"10.3233\/IDT-190086_ref9","unstructured":"Bach DE, Mechler R, Hochrainer S, et al. 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