Vol16 No.3: 677-688
【Title】Seismic vulnerability assessment of urban buildings and traffic networks using fuzzy ordered weighted average
【Author】Yasaman ASADI1; Najmeh Neysani SAMANY1*; Keyvan EZIMAND2
【Addresses】1 Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran 33137-67464, Iran; 2 Remote Sensing and GIS Center, Faculty of Earth Science, University of Shahid Beheshti, Tehran 57451-36481, Iran
【Corresponding author】Najmeh Neysani SAMANY
【Citation】Asadi Y, Samany NN, Ezimand K (2019) Seismic vulnerability assessment of urban buildings and traffic networks using fuzzy ordered weighted average. Journal of Mountain Science 16(3). https://doi.org/10.1007/s11629-017-4802-4
【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 multi-criteria geographic information systems and decision-making 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 North-East of the study area are more vulnerable than South of it.
【Keywords】Earthquake; Vulnerability Assessment; Urban buildings; Traffic network; Multi-Criteria Decision Analysis (MCDA); Fuzzy-OWA