fa بررسی فضایی انعطاف پذیری مناطق شهری پس از زلزله با استفاده از روش OWA در منطقه 12 تهران تخصصي Special پژوهشي Research <p dir="RTL" style="text-align: justify;"><span style="font-size:16px;"><span style="font-family: nasimyw;"><strong>افزایش حوادث طبیعی تعمیق آنمتاثر از فعالیتهای انسانی، خسارتهای متعددی را&nbsp; مخصوصاَ در کشورهای در حال توسعه اموجب شده است.خسارت های مالی و جانی ناشی از حوادث طبیعی در جهان و مخصوصا در کشورهای کمتر توسعه یافته، متاثر از زیرساخت های ضعیف اجتماعی و اقتصادی، روز به روز در حال افزایش می باشد. در میان حوادث طبیعی،&nbsp; زلزله،&nbsp; به دلیل غیرقابل پیش بینی بودن، یکی از مخربترین این حوادث به شمار می رود.ایران </strong><strong>یکی از زلزله خیزترین کشورهای جهان است و شهرهای آن بر اثر این پدیده بسیار آسیب دیده اند. در بین شهرهای ایران، تهران به عنوان کلانشهر اول کشوربا توجه به جمعیت متراکم، توسعه فیزیکی نامناسب، تراکم سازه ای،&nbsp; و عدم رعایت استانداردها، با خطر جدی تری روبه رو است.هدف از این پژوهش، بررسی فضایی انعطاف پذیری منطقه 12 تهران پس از زلزله می باشد. در این مطالعه، ابتدا&nbsp; داده ها ی منطقه 12تهرانآماده و استانداردسازی گردید. سپس با استفاده از روش</strong><span dir="LTR">AHP</span><strong>،</strong><strong> میزان ریسک پذیری&nbsp; منطقه 12 تهران تحلیل شد. در نهایت با توجه به نقشه میزان ریسک پذیری منطقه،&nbsp; به کمک روش </strong><span dir="LTR">&nbsp;OWA</span><strong>نقشه نهایی میزان انعطاف پذیری آن پس از زلزله حاصل گردید. نتایج به دست آمده نشان داد که محلات شماره 2و12 (بهارستان و دروازه غار شوش) کمترین انعطاف پذیری را پس از زلزله دارند.</strong></span></span></p> <p style="text-align: justify;"><span style="font-size:16px;"><span style="font-family: times new roman;">Resilience are concepts that are finding increasing currency in several fields of research as well as in various policy and practitioner communities engaged in global environmental change science, climate change, sustainability science, disaster risk-reduction and famine interventions (Vogel, <em>et.al,</em> 2007). Where the risk is a probability of damage, injury, liability, loss, or any other negative occurrence that is caused by external or internal vulnerabilities, and that may be avoided through preemptive action (Benson, et.al, 2004). Among natural disasters, earthquakes, due to the unpredictable nature of these events, are one of the most destructive. Iran is one of the most earthquake-prone countries in the world that its cities most affected by this phenomenon. Among the cities of Iran, Tehran, as the country&#39;s first metropolis, due to dense population, poor physical development, structural density, and lack of standards, is potentially facing a serious threat. The purpose of this study is to investigate the spatial flexibility of Tehran over the region 12 after the earthquake incidence.</span></span></p> <p style="text-align: justify;"><span style="font-size:16px;"><span style="font-family: times new roman;">The present study is dealt with the data preparing and analysis using geospatial methods. The several geospatial data such as Peak Ground Acceleration (AGA) map, urban structure, infrastructure and population collected from Tehran Disaster Management Center were provided and analysis based some GIS known algorithms. In other to urban spatial resilience zonation the AHP (analytical Hierarchy Process) was implemented to generation risk map. Finally OWA (Ordered Weighted Average) method was implemented in order to Production spatial flexibility map of earthquake incidence over the District 12 of Tehran. AHP model uses of priorities straight experts, but OWA provides of control the level of compensation and risk-taking in a decision. Using the conceptual of fuzzy quantifier with OWA makes the qualitative data analysis enter to decision.</span></span></p> <p style="text-align: justify;"><span style="font-size:16px;"><span style="font-family: times new roman;">&nbsp;&nbsp;&nbsp; According to flexibility of the final map with fuzzy operator (All) equivalent to the operator MIN, the worst result Was obtained and resulting the highest risk and lowest flexibility respectively (Districts Nos. 2,12,7,8 and 11).By taking all the criteria of a criterion without compensation by other criteria as &quot;non-risk&quot; is obtained .</span></span></p> <p style="text-align: justify;"><span style="font-size:16px;"><span style="font-family: times new roman;">Map obtained with fuzzy operator (Half) has the high potential to provide suitable options,&nbsp; because in addition to integration criteria the importance of each parameter based on the weight given to the criteria are considered. In this map Districts Nos.2.6 and 8 (Baharestan, Emamzadeyahya and Sanglajedarkhangah) respectively were most Risk to earthquakes and therefore less flexibility to the earthquake. The map obtained with the fuzzy operator &quot;Atleast one&quot; is equivalent to MAX operator districts Nos. 2,12,7 and 8 (Baharestan ,DarvazehGhar of Shush,Abshardardar and Sanglajedarkhangah) &nbsp;respectively were most Risk to earthquakes and therefore less flexibility to the earthquake.</span></span></p> <p style="text-align: justify;"><span style="font-size:16px;"><span style="font-family: times new roman;">The fuzzy conceptual map quantifier showed that districts Nos. 2 and 12 (Baharestan and DarvazehGhar of Shush) were most vulnerable and therefore less flexibility to the earthquake as final results.</span></span></p> زلزله, انعطاف پذیری, منطقه 12 تهران,روش AHP,OWA Earthquake, Resilience, AHP,OWA method, Area12 Tehran 23 34 http://jsaeh.khu.ac.ir/browse.php?a_code=A-10-3-45&slc_lang=fa&sid=1 Jalal Karami جلال کرمی jl.karami@modares.ac.ir 10031947532846001128 10031947532846001128 Yes Aminah Mohamadi امینه محمدی 10031947532846001129 10031947532846001129 No Mohammad SharifiKia محمد شریفی کیا 10031947532846001130 10031947532846001130 No