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Seismic vulnerability assessment of urban buildings and traffic networks using fuzzy ordered weighted average

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【作者】 Yasaman ASADINajmeh Neysani SAMANYKeyvan EZIMAND

【Author】 Yasaman ASADI;Najmeh Neysani SAMANY;Keyvan EZIMAND;Department of Remote Sensing and GIS,Faculty of Geography,University of Tehran;Remote Sensing and GIS Center,Faculty of Earth Science,University of Shahid Beheshti;

【通讯作者】 Najmeh Neysani SAMANY;

【机构】 Department of Remote Sensing and GIS,Faculty of Geography,University of TehranRemote Sensing and GIS Center,Faculty of Earth Science,University of Shahid Beheshti

【摘要】 Urban buildings and urban traffic network are considered as the vital arteries of cities which have particular effects especially after the crisis in the search and rescue operations. The aim of this study is to determine the vulnerability of urban areas especially, buildings and traffic networks using multicriteria geographic information systems and decisionmaking methods. As there are many effective criteria on the seismic vulnerability that they have uncertain and vague properties, the method of this paper is applying fuzzy ordered weighted average(OWA) to model the seismic vulnerability of urban buildings and traffic networks in the most optimistic and pessimistic states. The study area is district 6 of Tehran that is affected by the four major faults, and thus will be threatened by the earthquakes. The achieved results illustrated the vulnerability with different degrees of risk levels including very high, high, medium, low and very low. The results show that in the most optimistic case 14% and in the pessimistic case 1% of buildings tolerate in very low vulnerability. The vulnerability of urban street network also indicates that in the optimistic case 12% and in the pessimistic case at most 9% of the area are in appropriate condition and the North and NorthEast of the study area are more vulnerable than South of it.

【Abstract】 Urban buildings and urban traffic network are considered as the vital arteries of cities which have particular effects especially after the crisis in the search and rescue operations. The aim of this study is to determine the vulnerability of urban areas especially, buildings and traffic networks using multicriteria geographic information systems and decisionmaking methods. As there are many effective criteria on the seismic vulnerability that they have uncertain and vague properties, the method of this paper is applying fuzzy ordered weighted average(OWA) to model the seismic vulnerability of urban buildings and traffic networks in the most optimistic and pessimistic states. The study area is district 6 of Tehran that is affected by the four major faults, and thus will be threatened by the earthquakes. The achieved results illustrated the vulnerability with different degrees of risk levels including very high, high, medium, low and very low. The results show that in the most optimistic case 14% and in the pessimistic case 1% of buildings tolerate in very low vulnerability. The vulnerability of urban street network also indicates that in the optimistic case 12% and in the pessimistic case at most 9% of the area are in appropriate condition and the North and NorthEast of the study area are more vulnerable than South of it.

  • 【文献出处】 Journal of Mountain Science ,Journal of Mountain Science 山地科学学报(英文版) , 编辑部邮箱 ,2019年03期
  • 【分类号】TU984.116;P315.9
  • 【下载频次】36
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