Comprehensive disaster-bearing capacity assessment of the urban area using grid cells based on an evidential reasoning method

doi:10.16511/j.cnki.qhdxxb.2018.22.024

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Abstract Most studies on regional comprehensive disaster-bearing capacity have been based on large city scenarios with few for urban scenarios with most based on large administrative units, which leads to rough assessment results. This paper describes an index system for urban disaster-bearing capacity assessments based on the actual characteristics of an urban area in eastern China. Evidential reasoning is combined with an analytic hierarchy process to deal with qualitative and quantitative data with 1 km×1 km scale grids to assess the disaster-bearing capacity of this urban area. This paper describes the method to accurately assess the disaster-bearing capacity of the urban area with high resolution assessment results. The index of "anti-disaster ability→spatial factors→major hazard sources" plays a very important role in the whole assessment. These results are in accord with the actual situation in this area. Thus, this assessment method can be used for urban-level emergency management and to improve disaster prevention and mitigation capacities.

Keywords comprehensive disaster-bearing capacity evidential reasoning (ER) analytic hierarchy process (AHP) gridding urbanization

Issue Date: 15 June 2018

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	CHEN Tao
	CHEN Zhichao

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CHEN Tao,CHEN Zhichao. Comprehensive disaster-bearing capacity assessment of the urban area using grid cells based on an evidential reasoning method[J]. Journal of Tsinghua University(Science and Technology), 2018, 58(6): 570-575.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2018.22.024 OR http://jst.tsinghuajournals.com/EN/Y2018/V58/I6/570

[1] 向衍荪, 王志勇. 城市公共安全:一道不容忽视的难题[J/OL]. 人民网, 2005(6).[2017-12-02]. http://www.people.com.cn/GB/paper2515/15174/1345908.html.XIANG Y S, WANG Z Y. City public safety:A problem cannot be ignored[J/OL]. People.com.cn, 2005(6).[2017-12-02]. http://www.people.com.cn/GB/paper2515/15174/1345908.html. (in Chinese)
[2] 陈国华, 梁韬, 张华文. 城域承灾能力评估研究及其应用[J]. 安全与环境学报, 2008, 8(2):156-162. CHEN G H, LIANG T, ZHANG H W. Evaluation model for urban-regional disaster-bearing capacity and its application[J]. Journal of Safety and Environment, 2008, 8(2):156-162. (in Chinese)
[3] 张明媛, 袁永博, 周晶. 城市综合承灾能力评价[J]. 自然灾害学报, 2010, 19(1):90-96. ZHANG M Y, YUAN Y B, ZHOU J. Assessment of urban integrated disaster-bearing capacity[J]. Journal of Natural Disasters, 2010, 19(1):90-96. (in Chinese)
[4] 王威, 田杰, 王志涛, 等. 城市综合承灾能力评价的分形模型[J]. 中国安全科学学报, 2011, 21(5):171-176. WANG W, TIAN J, WANG Z T, et al. Fractal model for evaluating urban comprehensive disaster-carrying capability[J]. China Safety Science Journal, 2011, 21(5):171-176. (in Chinese)
[5] 李晓娟. 城市综合承灾能力评价研究[J]. 西安建筑科技大学学报(自然科学版), 2012, 44(4):489-494.LI X J. Study on assessment of urban composite disaster-bearing capacity[J]. Journal of Xi'an University of Architecture & Technology (Natural Science Edition), 2012, 44(4):489-494. (in Chinese)
[6] 马孝先. 中国城镇化的关键影响因素及其效应分析[J]. 中国人口·资源与环境, 2014, 24(12):117-124. MA X X. Analysis on the key influence factors of urbanization and its effects in China[J]. China Population, Resources and Environment, 2014, 24(12):117-124. (in Chinese).
[7] 湛孔星, 王树坤, 陈国华. 区域承灾能力评估方法及应用研究[J]. 中国安全生产科学技术, 2010, 6(1):35-39. ZHAN K X, WANG S K, CHEN G H. Study on evaluation method of regional disaster-bearing capability and application[J]. Journal of Safety Science and Technology, 2010, 6(1):35-39. (in Chinese)
[8] CHEN M K, WANG S C. The critical factors of success for information service industry in developing international market:Using analytic hierarchy process (AHP) approach[J]. Expert Systems with Applications, 2010, 37(1):694-704.
[9] VIDAL L A, SAHIN E, MARTELLI N, et al. Applying AHP to select drugs to be produced by anticipation in a chemotherapy compounding unit[J]. Expert Systems with Applications, 2010, 37(2):1528-1534.
[10] YANG J B, XU D L. On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty[J]. IEEE Transactions on Systems, Man, and Cybernetics-Part A:Systems and Humans, 2002, 32(3):289-304.
[11] YANG Z L, WANG J, BONSALL S, et al. Use of fuzzy evidential reasoning in maritime security assessment[J]. Risk Analysis, 2009, 29(1):95-120.
[12] CHIN K S, XU D L, YANG J B, et al. Group-based ER-AHP system for product project screening[J]. Expert Systems with Applications, 2008, 35(4):1909-1929.
[13] ZHANG D, YAN X P, ZHANG J F, et al. Use of fuzzy rule-based evidential reasoning approach in the navigational risk assessment of inland waterway transportation systems[J]. Safety Science, 2016, 82:352-360.