مکان‌یابی بیمارستان با استفاده از روش فازی و رویکرد پدافند غیرعامل (مطالعه موردی: شهر ارومیه)

نوع مقاله : ترویجی

نویسندگان

1 استاد گروه جغرافیا و برنامه‌ریزی شهری، دانشگاه ارومیه، ارومیه، ایران

2 استادیار گروه جغرافیا، دانشکده علوم انسانی، دانشگاه جامع امام حسین(ع)، تهران، ایران

3 استادیار گروه جامعه‌شناسی، دانشکده ادبیات و علوم انسانی، دانشگاه ارومیه، ارومیه، ایران

4 کارشناسی ‌ارشد جغرافیا و برنامه‌ریزی شهری، دانشگاه محقق اردبیلی، اردبیل، ایران

5 کارشناسی ارشد برنامه‌ریزی شهری، باشگاه پژوهشگران جوان و نخبگان، واحد تبریز، دانشگاه آزاد اسلامی، تبریز، ایران.

چکیده

کاربری‌های بهداشتی- درمانی از جمله کاربری‌هایی می‌باشند که در مواقع وقوع حوادث برای سلامتی انسان‌ها از اهمیت بالایی برخوردار می‌باشند، به‌طوری‌که در مواقع بحرانی احتمال اختلال در کارکرد آن‌ها وجود دارد زیرا آسیب‌پذیری این کاربری در برابر حوادث بسیار بالاست، در همین راستا مکان‌یابی بهینه‌ با استفاده از رویکرد پدافند غیرعامل از اهمیت بالایی برخوردار است. هدف اصلی این پژوهش مکان‌یابی کاربری بیمارستان با استفاده از رویکرد پدافند غیرعامل در شهر ارومیه می‌باشد. پژوهش حاضر از نظر ماهیت توصیفی – تحلیلی می‌باشد و از نظر هدف کاربردی می‌باشد. اطلاعات این پژوهش به‌صورت کتابخانه‌ای و میدانی گردآوری‌شده است. شاخص‌های مورداستفاده در این پژوهش شامل شاخص‌های فاصله از مراکز آموزشی، مراکز مسکونی، مراکز تجاری، فضاهای سبز، مراکز مذهبی، بیمارستان‌های موجود، دسترسی‌ها، زمین‌های باز و عمومی، مراکز اداری، ایستگاه‌های آتش‌نشانی، مراکز کارگاهی و صنعتی و مراکز ورزشی می‌باشد. تجزیه‌وتحلیل داده‌ها از طریق وزن‌دهی، سازگاری کاربری‌ها و روش منطق فازی صورت گرفته است. محدوده موردمطالعه در این پژوهش شهر ارومیه، واقع در استان آذربایجان غربی می‌باشد. نتایج این پژوهش نشانگر این است که قسمت قابل‌توجهی از شهر ارومیه خارج از شعاع پوشش دهی بیمارستان‌های موجود می‌باشد بنابراین نیاز به مکان‌یابی اصولی بیمارستان‌های جدید است همچنین منطقه 1 بیشترین و مناسب‌ترین و منطقه 4 کمترین پهنه را جهت احداث کاربری بیمارستان را دارا می‌باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Hospital Site Selection Using the Fuzzy Method and Passive Defense Approach (Case Study: Urmia City)

نویسندگان [English]

  • mirnajaf mousavi 1
  • K. Zoghi Barani 2
  • Javad Jahangirzadeh 3
  • Sajjad Omidvarfar 4
  • Nima Bayramzadeh 5
1 geography
2 ihu
3 Assistant Professor, Department of Sociology, Faculty of Literature and Humanities, Urmia University, Urmia, Iran.
4 M.Sc. in Urban Planning and Regeneration, Mohaghegh Ardabili University, Ardabil, Iran.
5 M.A in Urban planning, Young Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
چکیده [English]

Health-medical land uses are among the uses that are of great importance for human health in the event of an accident, so in critical situations, there is a possibility of their dysfunction because the vulnerability of this use to accidents is very high, in this regard, optimal location with optimal use The passive defense approach is of great importance. The main purpose of this study is to locate the hospital using the passive defense approach in Urmia. The present study is descriptive-analytical in nature and applied in terms of purpose. The basic information and maps of this article have been collected in the form of libraries and fields from reliable scientific and official sources. Indicators used in this study include indicators of distance from educational centers, residential centers, commercial centers, green spaces, religious centers, existing hospitals, accesses, open and public areas, administrative centers, fire stations, workshop and industrial centers, and sports centers. Data analysis was performed through weighting, application compatibility, and fuzzy logic method. The study area in this study is the city of Urmia, located in the province of West Azerbaijan. The results of this study indicate that a significant part of the city of Urmia is outside the coverage radius of existing hospitals, so there is a need for a principled location of new hospitals. Also, Region 1 has the most and most appropriate, and Region 4 has the least area for hospital use.

کلیدواژه‌ها [English]

  • Hospital Location Selection
  • Fuzzy Method
  • Passive Defense
  • Urmia

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