کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6975136 1453370 2018 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development of decision support tool for optimizing urban emergency rescue facility locations to improve humanitarian logistics management
ترجمه فارسی عنوان
توسعه ابزار پشتیبانی تصمیم برای بهینه سازی مکان های امداد رسانی اضطراری شهری برای بهبود مدیریت تدارکات انسانی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بهداشت و امنیت شیمی
چکیده انگلیسی
Emergency rescue facility is an essential component of urban emergency logistics system, and selection of their locations is significant for urban public safety. Urban emergency rescue facility locations (UERFLs) problem is essentially a geospatial multi-objective optimization problem (Geospatial-MOP), which presents a challenge for both researchers and managers. In this study, a user-friendly decision support tool was designed and developed for facilitating the process of optimizing UERFLs in large-scale urban areas. We described the design, architecture and implementation of the tool and its core optimization component. Based on a hypothetical case study, we introduced its functionalities as well as the decision making workflow. The results provide evidences that the tool can successfully generate Pareto-optimal frontier and capture a pool of alternative solutions to the decision maker for trade-off. This work offers new insights on promoting future urban emergency logistics management with the use of GIS and emerging artificial intelligence technologies, and makes contributions in integrating multi-objective optimization algorithm with GIS for solving geospatial multi-objective optimization problem.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Safety Science - Volume 102, February 2018, Pages 110-117
نویسندگان
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