Predicting the spatial distribution of direct economic losses from typhoon storm surge disasters using case-based reasoning

International Journal of Disaster Risk Reduction - Tập 68 - Trang 102704 - 2022
Ke Wang1,2, Yongsheng Yang1,2, Genserik Reniers3,4,5, Jian Li1, Quanyi Huang1
1Institute of Public Safety Research/Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
2Beijing Key Laboratory of City Integrated Emergency Response Science, Tsinghua University, Beijing, 100084, China
3CEDON, KU Leuven, Brussels 1000, Belgium
4Safety and Security Science Group, Faculty of Technology Policy and Management, TU Delft, Delft, 2628 BX, the Netherlands
5Faculty of Applied Economics, Antwerp Research Group on Safety and Security (ARGoSS), University of Antwerp, Antwerp, 2000, Belgium

Tài liệu tham khảo

Fang, 2014, Assessment and Mapping of potential storm surge impacts on global population and Economy, Int. J. Disaster Risk Sci., 5, 323, 10.1007/s13753-014-0035-0 Helderop, 2019, Streets, storm surge, and the frailty of urban transport systems: a grid-based approach for identifying informal street network connections to facilitate mobility, Transport. Res. Part Transp. Environ., 77, 337, 10.1016/j.trd.2018.12.024 Pan, 2020, Study on the decision-making behavior of evacuation for coastal residents under typhoon storm surge disaster, Int. J. Disaster Risk Reduct., 45, 10.1016/j.ijdrr.2020.101522 2017 Resio, 2008, Modeling the physics of storm surges, Phys. Today, 61, 33, 10.1063/1.2982120 Yi-Chiang, 2019, Assessing the potential highest storm tide hazard in Taiwan based on 40-year historical typhoon surge Hindcasting, Atmosphere, 10 Shih, 2018, Generating potential risk maps for typhoon-induced waves along the coast of Taiwan, Ocean Eng., 163, 1, 10.1016/j.oceaneng.2018.05.045 Chang, 2018, Hazard assessment of typhoon-Driven storm waves in the nearshore waters of Taiwan, Water, 10, 10.3390/w10070926 2020 de Scally, 2014, Evaluation of storm surge risk: a case study from Rarotonga, Cook Islands, Int. J. Disaster Risk Reduct., 7, 9, 10.1016/j.ijdrr.2013.12.002 Simpson, 1982 Fang Le, 2000, An analysis of the recent severe storm surge disaster Events in China, Nat. Hazards, 21, 215, 10.1023/A:1008077621186 Su, 2015, Categorizing social vulnerability patterns in Chinese coastal cities, Ocean Coast Manag., 116, 1, 10.1016/j.ocecoaman.2015.06.026 Yang, 2019, Improved estimates of population exposure in low-Elevation coastal zones of China, Int. J. Environ. Res. Publ. Health, 16, 10.3390/ijerph16204012 Hou, 2016, Characteristics of coastline changes in mainland China since the early 1940s, Sci. China Earth Sci., 59, 1791, 10.1007/s11430-016-5317-5 Shi, 2015, Spatial-temporal distribution of storm surge damage in the coastal areas of China, Nat. Hazards, 79, 237, 10.1007/s11069-015-1838-z Yang, 2016, A storm surge projection and disaster risk assessment model for China coastal areas, Nat. Hazards, 84, 649, 10.1007/s11069-016-2447-1 Yasuda, 2014, Evaluation of future storm surge risk in East Asia based on state-of-the-art climate change projection, Coast. Eng., 83, 65, 10.1016/j.coastaleng.2013.10.003 Lin, 2012, Physically based assessment of hurricane surge threat under climate change, Nat. Clim. Change, 2, 462, 10.1038/nclimate1389 Overpeck, 2006, Paleoclimatic Evidence for future ice-Sheet Instability and rapid sea-level rise, Science, 311, 1747, 10.1126/science.1115159 Rahmstorf, 2007, A semi-Empirical approach to Projecting future sea-level rise, Science, 315, 368, 10.1126/science.1135456 Helderop, 2019, Social, geomorphic, and climatic factors driving U.S. coastal city vulnerability to storm surge flooding, Ocean Coast Manag., 181, 10.1016/j.ocecoaman.2019.104902 Gao, 2020, The trends of migration in China, 1949–2019, China Popul, Dev. Stud., 3, 154 He, 2014, Economic development and coastal ecosystem change in China, Sci. Rep., 4, 10.1038/srep05995 Zhou, 2019, Research on the driving factors of urban Immigration in coastal and Inland cities in China (In Chinese), Reform Econ. Syst., 62 Fang, 2017, Spatial-temporal changes of coastal and marine disasters risks and impacts in Mainland China, Ocean Coast Manag., 139, 125, 10.1016/j.ocecoaman.2017.02.003 Hadj-Mabrouk, 2020, Application of Case-Based Reasoning to the safety assessment of critical software used in rail transport, Saf. Sci., 131, 10.1016/j.ssci.2020.104928 Schank, 2013 An, 1997, Integrating rule induction and case-based reasoning to enhance problem solving, 499 Chuang, 2013, Application of hybrid case-based reasoning for enhanced performance in bankruptcy prediction, Inf. Sci., 236, 174, 10.1016/j.ins.2013.02.015 Bentaiba-Lagrid, 2020, A case-based reasoning system for supervised classification problems in the medical field, Expert Syst. Appl., 150, 10.1016/j.eswa.2020.113335 Fan, 2011, A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification, Appl. Soft Comput., 11, 632, 10.1016/j.asoc.2009.12.023 Watson, 1994, Case-based reasoning: a review, Knowl. Eng. Rev., 9, 327, 10.1017/S0269888900007098 Koton, 1988 El-Sappagh, 2015, Case based reasoning: case representation methodologies, Int. J. Adv. Comput. Sci. Appl., 6, 192 Bergmann, 1998, Similarity measures for object-oriented case representations, 25 Salem, 2007, Case based reasoning technology for medical diagnosis, World Acad. Sci. Eng. Technol., 31, 9 Sartori, 2016, Bankruptcy forecasting using case-based reasoning: the CRePERIE approach, Expert Syst. Appl., 64, 400, 10.1016/j.eswa.2016.07.033 Feng, 2018, Improving emergency response to cascading disasters: applying case-based reasoning towards urban critical infrastructure, Int. J. Disaster Risk Reduct., 30, 244, 10.1016/j.ijdrr.2018.04.012 Chazara, 2016, Flexible knowledge representation and new similarity measure: application on case based reasoning for waste treatment, Expert Syst. Appl., 58, 143, 10.1016/j.eswa.2016.03.014 Yu, 2018, Risk response for urban water supply network using case-based reasoning during a natural disaster, Saf. Sci., 106, 121, 10.1016/j.ssci.2018.03.003 Aamodt, 1994, Case-based reasoning: Foundational issues, methodological Variations, and system Approaches, AI Commun, 7, 39, 10.3233/AIC-1994-7104 Amailef, 2013, Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services, Decis. Support Syst., 55, 79, 10.1016/j.dss.2012.12.034 Hu, 2016, The application of case-based reasoning in construction management research: an overview, Autom. ConStruct., 72, 65, 10.1016/j.autcon.2016.08.023 Lu, 2013, Case-based reasoning for automated safety risk analysis on subway operation: case representation and retrieval, Saf. Sci., 57, 75, 10.1016/j.ssci.2013.01.020 Kuo, 2010, Combination of case-based reasoning and analytical hierarchy process for providing intelligent decision support for product recycling strategies, Expert Syst. Appl., 37, 5558, 10.1016/j.eswa.2010.02.057 Mantaras, 2005, Retrieval, reuse, revision and retention in case-based reasoning, Knowl. Eng. Rev., 20, 215, 10.1017/S0269888906000646 Xiong, 2011, Learning fuzzy rules for similarity assessment in case-based reasoning, Expert Syst. Appl., 38, 10780, 10.1016/j.eswa.2011.01.151 Li, 2009, A study of mutual information based feature selection for case based reasoning in software cost estimation, Expert Syst. Appl., 36, 5921, 10.1016/j.eswa.2008.07.062 Kumar, 2009, Hybrid approach using case-based reasoning and rule-based reasoning for domain independent clinical decision support in ICU, Expert Syst. Appl., 36, 65, 10.1016/j.eswa.2007.09.054 Wang, 2012, A recommender mechanism based on case-based reasoning, Expert Syst. Appl., 39, 4335, 10.1016/j.eswa.2011.09.161 Kim, 2001, The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases, Expert Syst. Appl., 21, 147, 10.1016/S0957-4174(01)00036-7 Pal, 2004 Roldan Reyes, 2015, Improvement of online adaptation knowledge acquisition and reuse in case-based reasoning: application to process engineering design, Eng. Appl. Artif. Intell., 41, 1, 10.1016/j.engappai.2015.01.015 Richter, 2013 Hu, 2015, New CBR adaptation method combining with problem–solution relational analysis for mechanical design, Comput. Ind., 66, 41, 10.1016/j.compind.2014.08.004 Qi, 2012, A new adaptation method based on adaptability under k-nearest neighbors for case adaptation in case-based design, Expert Syst. Appl., 39, 6485, 10.1016/j.eswa.2011.12.055 Zhong, 2015, Two-layer random forests model for case reuse in case-based reasoning, Expert Syst. Appl., 42, 9412, 10.1016/j.eswa.2015.08.005 Silva, 2020, An artificial immune systems approach to Case-based Reasoning applied to fault detection and diagnosis, Expert Syst. Appl., 140 Lao, 2012, Achieving quality assurance functionality in the food industry using a hybrid case-based reasoning and fuzzy logic approach, Expert Syst. Appl., 39, 5251, 10.1016/j.eswa.2011.11.014 Jin, 2012, MRA-based revised CBR model for cost prediction in the early stage of construction projects, Expert Syst. Appl., 39, 5214, 10.1016/j.eswa.2011.11.018 Veloso, 1994 Smyth, 1996, The utility problem analysed, 392 Salamó, 2011, Adaptive case-based reasoning using retention and forgetting strategies, Knowl.-Based Syst., 24, 230, 10.1016/j.knosys.2010.08.003 Yan, 2014, Memory and forgetting: an improved dynamic maintenance method for case-based reasoning, Inf. Sci., 287, 50, 10.1016/j.ins.2014.07.040 Fang, 2007, The evaluation on economic loss caused by storm tide in Tianjin (In Chinese), Mar. Environ. Sci., 23, 271 Xu, 1998, Research on the method of evaluating the economic loss caused by storm surge disaster (In Chinese), Mar. Sci. Bull., 17, 1 Jin, 2018, Evaluation of loss due to storm surge disasters in China based on Econometric model groups, Int. J. Environ. Res. Publ. Health, 15, 10.3390/ijerph15040604 Feng, 2017, Pre-assessment for the loss caused by storm surge based on the SVM-BP neural network (In Chinese), Mar. Environ. Sci., 36, 615 Sun, 2021, A data Augmentation-based evaluation system for regional direct economic losses of storm surge disasters, Int. J. Environ. Res. Publ. Health, 18 Hsu, 2018, A hurricane surge risk assessment framework using the joint probability method and surge response functions, Nat. Hazards, 91, 7 Wang, 2016 Xie, 2010 Yin, 2010 Guo, 2018, Research progress on pre-assessment of economic losses before storm surge disasters (In Chinese), J. Catastrophol., 33, 164 Deng, 2020, Spatial case revision in case-based reasoning for risk assessment of geological disasters, Geomatics, Nat. Hazards Risk, 11, 1052, 10.1080/19475705.2020.1774427 San Pedro, 2005, A case-based fuzzy multicriteria decision support model for tropical cyclone forecasting, Eur. J. Oper. Res., 160, 308, 10.1016/j.ejor.2003.09.003 Linghu, 2014, An intelligent Multi-agent approach for flood disaster forecasting utilizing case based reasoning, 182 Chen, 2011, Predicting the economic loss of typhoon by case base reasoning and fuzzy theory, 254 Lai, 2020 Liu, 2018 Feng, 2013 Yu, 2015 Lu, 2021, Western North Pacific tropical cyclone database created by the China Meteorological Administration, Adv. Atmos. Sci., 38, 690, 10.1007/s00376-020-0211-7 Ying, 2014, An overview of the China Meteorological Administration tropical cyclone database, J. Atmos. Ocean. Technol., 31, 287, 10.1175/JTECH-D-12-00119.1 2020 Wang, 2021, An attribute-based model to retrieve storm surge disaster cases Guo, 2020, Study on methods to identify the impact factors of economic losses due to typhoon storm surge based on confirmatory factor analysis, Nat. Hazards, 100, 515, 10.1007/s11069-019-03823-w Zhao, 2013, Classification and prediction of economic losses - storm surge disasters in Guangdong province of China, Adv. Mater. Res., 709, 928, 10.4028/www.scientific.net/AMR.709.928 Gao, 2014, Risk assessment of tropical storm surges for coastal regions of China, J. Geophys. Res. Atmos., 119, 5364, 10.1002/2013JD021268 Liu, 2020, Fine-scale coastal storm surge disaster vulnerability and risk assessment model: a case study of Laizhou Bay, China, Rem. Sens., 12 Wang, 2021, A study into the spatiotemporal distribution of typhoon storm surge disasters in China, Nat. Hazards Li, 2018 Cao, 2003, A fuzzy-rough approach for the maintenance of distributed case-based reasoning systems, Soft Comput., 7, 491, 10.1007/s00500-002-0233-3 Jung, 2009, Integrating radial basis function networks with case-based reasoning for product design, Expert Syst. Appl., 36, 5695, 10.1016/j.eswa.2008.06.099 Zhu, 2015, An integrated feature selection and cluster analysis techniques for case-based reasoning, Eng. Appl. Artif. Intell., 39, 14, 10.1016/j.engappai.2014.11.006 Zhuang, 2009, Combining data mining and case-based reasoning for intelligent decision support for pathology ordering by general practitioners, Eur. J. Oper. Res., 195, 662, 10.1016/j.ejor.2007.11.003 Liu, 2018, Risk assessment of storm surge disaster based on numerical models and remote sensing, Int. J. Appl. Earth Obs. Geoinf., 68, 20 Genovese, 2013, Storm surge disaster risk management: the Xynthia case study in France, J. Risk Res., 16, 825, 10.1080/13669877.2012.737826 Lee, 2006, Neural network prediction of a storm surge, Ocean Eng., 33, 483, 10.1016/j.oceaneng.2005.04.012