Site Selection of Hospital Centers by Focusing on Natural Disaster and Benefiting ANP Model as (Case Study of District.5 of Tehran)
Site selection important urban land uses, including decisions impacting is the scale Therapeutic space that often urban managers is faced with complex decisions, The research aimed to Site selection hospital centers with emphasis on natural Disasters and using analysis network prosses (ANP) This research benefits from descriptive-analytical method and a list of criterions for site selection of hospitals is prepared and then, by using ANP technique and pair-wise comparison of item by 20 professors and experts in the field of urban planning, the weight of each criterion was calculated. In continuation according to the number of criterions and ultimate weight of sub-criterions, the desired layers at GIS was created. In continuation by using the analysis and map prepared based on priority for evaluation of hospital it was observed that the current site selection of hospitals in district.5 of Tehran from viewpoint of natural disasters is at unsuitable status and offering service to them specially while rising natural disasters is very difficult task. According to the findings due to merging informational layers' total number of 3 new points for establishment of hospital center was offered and through establishing SWOT table and considering the information offered by experts, appropriate place for construction of hospital was offered. Findings of the present research may offer solutions for urban managers in the way of understanding and prioritizing problems of urban management and finding solutions for such problems.
Article Type:
Case Study
Amayesh Journal, No. 44, 2019
127 - 156  
روش‌های دسترسی به متن این مطلب
اشتراک شخصی
در سایت عضو شوید و هزینه اشتراک یک‌ساله سایت به مبلغ 300,000ريال را پرداخت کنید. همزمان با برقراری دوره اشتراک بسته دانلود 100 مطلب نیز برای شما فعال خواهد شد!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی همه کاربران به متن مطالب خریداری نمایند!