بکار گیری مدل شبکه عصبی پرسپترون چند لایه (M .L.P) در پهنه بندی آسیب پذیری شهری با تاکید بر زلزله(مورد مطالعه منطقه۲۰ شهرداری تهران)

District ۲۰ (Shahr-e-Ray), as the southernmost urban area among the municipal districts of Tehran, has a population of ۴۵۵۳۷۴۰ individuals and an area of ۲۲km۲ within the urban zone and ۱۷۸km۲ outside this zone. The earthquake risk is estimated to be very high in this region due to the tectonic and geographical position, presence of numerous faults around the region, the occurrence of several historical destructive earthquakes within this area, as well as other tectonic and geological evidence. In the present study, by investigating the current status, analyzing and classifying the vulnerability of the habitats in this region, and using the MLP model, a new strategy is presented. The results of the model based on the input models indicated the higher accuracy and efficiency of the standard classification method compared to the standard max/min method. By taking a look at the map of the standard classification method in the applied model, it can be found that the orange and nearly blue spots, which are mostly scattered in the central part of the region, have the highest correlation with the worn texture and the highest vulnerability. According to the results of the model in terms of vulnerability expansion and zone, out of the total area of the region, ۲۱% has the high and very high vulnerability, ۶۱% medium vulnerability, and ۱۸% low vulnerability. Also, the results of the population layers indicated high, medium, and low vulnerability intensities for ۵۶.۸%, ۲۷.۹%, and ۱۴.۱% of the total population, representing the population density in worn-out buildings with narrow pathways. Moreover, the results concerning the layers of material type and important places showed that the material types including metals, bricks, semi-metallic, …, respectively, and the important places such as educational centers, clinics, and medical centers have the highest vulnerability intensities

Keywords:

مدل MLP , روش استاندارد حداکثر- حداقل , سکونتگاههای شهری , بافت فرسوده