fa ارزیابی تاب‌آوری کالبدی-اقتصادی منطقه 12 شهر تهران در مواجه با زلزله جغرافيای شهری Urban Geography پژوهشی اصیل Original Research <span style="font-size:14px;"><span style="direction:rtl"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><b><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">اهداف:</span></span></span></b> <span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">بهترین راه مقابله با مخاطرات طبیعی و در راس آن زلزله، ارتقای تاب‌‌آوری سکونتگاهی در ابعاد مختلف است. بنابراین شناخت تاب&shy;آوری وضع موجود </span></span></span><span lang="AR-SA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">نقشی</span></span></span> <span lang="AR-SA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">حیاتی در کاهش آسیب&shy;پذیری شهرها به همراه دارد. هدف از این پژوهش، ارزیابی تاب‌آوری کالبدی-اقتصادی منطقه 12 شهر تهران در مواجه با زلزله بود. </span></span></span>&nbsp;<span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d"></span></span></span></span></span></span><br> <span style="direction:rtl"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><b><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">روش‌</span></span></span></b><b><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">شناسی</span></span></span></b><b><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">:</span></span></span></b><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d"> این </span></span></span><span lang="AR-SA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">مطالعه </span></span></span><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">به صورت </span></span></span><span lang="AR-SA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">توصیفی- تحلیلی انجام شد. برای جمع‌آوری داده‌ها از روش کتابخانه‌‌ای-اسنادی و برای تجزیه و تحلیل داده‌ها از نرم&shy;افزارهای </span></span></span><span dir="LTR"><span cambria="" style="font-family:"><span style="color:#0d0d0d">ArcGIS</span></span></span> <span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">و </span></span></span><span dir="LTR"><span cambria="" style="font-family:"><span style="color:#0d0d0d">Super Decision</span></span></span><span iransharp="" style="font-family:"><span style="color:#0d0d0d"> و </span></span><span lang="AR-SA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">مدل‌های </span></span></span><span dir="LTR"><span cambria="" style="font-family:"><span style="color:#0d0d0d">FANP</span></span></span><b><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d"> و</span></span></span></b> <span lang="AR-SA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">‌</span></span></span><span dir="LTR"><span cambria="" style="font-family:"><span style="color:#0d0d0d">Anselin Local Morans</span></span></span> <span lang="AR-SA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">استفاده شد.</span></span></span> <b><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d"></span></span></span></b></span></span></span><br> <span style="direction:rtl"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><b><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">یافته‌ها: </span></span></span></b><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">بیشترین ضریب در بین شاخص‌های موثر بر تاب&shy;آوری منطقه به ترتیب مربوط به شبکه حرکت و دسترسی (261/4)، وضعیت ساختمان (925/3)، کاربری‌ها (218/3)، پایداری اقتصادی (211/3)، تراکم (3.002)، خصوصیات زمین بستر (544/1) بود. وضعیت تاب‌آوری بسیار کم با بیشترین میزان، 8895457مترمربع از مساحت منطقه را دربرگرفت و 522081مترمربع (19/7%) در وضعیت تاب&shy;آوری بسیار زیاد قرار داشت. </span></span></span><span lang="AR-SA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">تفاوت معنی&shy;داری از لحاظ تاب&shy;آوری بین نواحی شش&shy;گانه منطقه 12 وجود داشت. در بعد تاب&shy;آوری کالبدی، ناحیه شش و یک، بیشترین میزان تاب‌آوری و ناحیه سه کمترین میزان تاب&shy;آوری را داشتند. در بعد تاب</span></span></span><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">‌</span></span></span><span lang="AR-SA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">آوری اقتصادی، </span></span></span><span lang="AR-SA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">محلات بازار، بهارستان و مختاری بهترین وضعیت و محلات پامنار و هرندی بدترین وضعیت را داشتند.</span></span></span><span lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d"></span></span></span></span></span></span><br> <b><span dir="RTL" lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d">نتیجه‌گیری:</span></span></span></b><span dir="RTL" lang="FA"><span iransharp="" style="font-family:"><span style="color:#0d0d0d"> نواحی جنوبی منطقه نسبت به نواحی شمالی در وضعیت تاب&shy;آوری بسیار کم قرار دارند که نیازمند برنامه&shy;ریزی سریع به&shy;منظور افزایش تاب&shy;آوری است.</span></span></span></span> <span style="font-size:10pt"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><b><span cambria="" style="font-family:"><span style="color:black">Aims:</span></span></b><span cambria="" style="font-family:"><span style="color:black"> The best way to deal with natural hazards, especially earthquakes, is to improve residential resilience in different dimensions. Therefore, understanding the resilience of the current situation has a vital role in reducing the vulnerability of cities. The purpose of this research was to evaluate the physical and economic resilience of the 12^th district of Tehran in the face of an earthquake.</span></span></span></span></span><br> <span style="font-size:10pt"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><b><span cambria="" style="font-family:"><span style="color:black">Methodology: </span></span></b><span cambria="" style="font-family:"><span style="color:black">This descriptive-analytical study was conducted. The attribute library method was used for data collection and ArcGIS and Super Decision software and FANP and Anselin Local Morans models were used for data analysis.</span></span></span></span></span><br> <span style="font-size:10pt"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><b><span cambria="" style="font-family:"><span style="color:black">Findings:</span></span></b><b> </b><span cambria="" style="font-family:"><span style="color:black">The highest coefficient among the indicators affecting the resilience of the region was related to the movement and access network (4.261), building condition (3.925), uses (3.218), economic stability (3.211), density ( 3.002), and properties of the substrate were (1.544). The state of very low resilience covered 8,895,457m² of the area and 522,081m² (19.7%) were in the state of very high resilience. There was a significant difference in terms of resilience between the six regions of district 12. In terms of physical resilience, areas six and one had the highest level of resilience, and area three had the lowest level of resilience. In terms of economic resilience, Bazar, Baharestan, and Mokhtari neighborhoods had the best situation and Pamnar and Harandi neighborhoods had the worst situation.</span></span></span></span></span><br> <span style="font-size:10pt"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><b><span cambria="" style="font-family:"><span style="color:black">Conclusion:</span></span></b><b> </b><span cambria="" style="font-family:"><span style="color:black">The southern regions of the district are in a very low resilience situation compared to the northern regions, which requires quick planning in order to increase resilience.</span></span></span></span></span><br> &nbsp; تاب‌آوری کالبدی, تاب‌آوری اقتصادی, زلزله, مدل FANP, Anselin Local Morans, منطقه 12 تهران Physical Economic Resilience,Earthquake,FANP Model,Anselin Local Morans,District 12 of Tehran, 391 398 http://georesearch.ir/browse.php?a_code=A-10-1350-1&slc_lang=fa&sid=1 P. Mohagheghi پریسا محققی 100319475328460015390 0000000245146164 No Noor Branch, Islamic Azad University, Noor, Iran واحد نور، دانشگاه آزاد اسلامی، نور، ایران M. Ghadami مصطفی قدمی 100319475328460015391 0000000216044142 No Mazandaran University, Babolsar, Iran دانشگاه مازندران، بابلسر، ایران J. Azimi Amoli جلال عطیمی آملی 100319475328460015392 0000000221495407 Yes Noor Branch, Islamic Azad University, Noor, Iran واحد نور، دانشگاه آزاد اسلامی، نور، ایران Gh. Janbaz Ghobadi غلامرضا جانباز قبادی 100319475328460015393 0000000247133877 No Noor Branch, Islamic Azad University, Noor, Iran واحد نور، دانشگاه آزاد اسلامی، نور، ایران