1استادیار گروه مدیریت ورزشی، دانشکده تربیت بدنی و علوم ورزشی، دانشگاه اصفهان
2استاد جغرافیا و برنامه‌ریزی شهری، دانشکدة علوم جغرافیایی و برنامه‌ریزی، دانشگاه اصفهان، اصفهان، ایران
چکیده
هدف از پژوهش حاضر به‌کارگیری روش تحلیل خوشه‌بندی خاکستری (GCA) در مکان‌گزینی اماکن ورزشی در حالت گسسته فضایی بود. محدودة مطالعاتی پژوهش شامل 3 منطقة 5، 6، و 13 شهر اصفهاناست که به لحاظ جمعیت 21 درصد و به لحاظ مساحت 34 درصد از کل جمعیت و مساحت شهر اصفهان را در برمی‌گیرد. به‌منظور تحلیل داده‌ها در این پژوهش از نرم‌افزارهای Arc\View، Arc\GIS، Auto\Cad و Excel و همچنین برنامه‌نویسی در MATLAB استفاده شد و به‌منظور مکان‌گزینی در حالت گسسته به ارائة الگوریتمی برای پیاده‌سازی روش تحلیل خوشه‌بندی خاکستری اقدام شد. نتایج نشان داد که با توجه به محیط پیچیدة شهری و عدم قطعیت در خصوص معیارهای مکان‌گزینی اماکن ورزشی، روش تحلیل خوشه‌بندی خاکستری به میزان بسیار زیادی قادر است که با کنترل تمامی عوامل به‌طور همزمان نتایج معتبری را ارائه دهد، که این کنترل در قالب روش‌های دیگر به‌طور همزمان امکان‌پذیر نیست.
Using Gray Cluster Analyze (GCA) Method in Site Selection of Sport Places in Cessation Spatial Status (Case study: Isfahan city)
نویسندگان [English]
Mehdi Salimi1؛ Masoud Taghvaie2
1Assistant Professor in Sport Management, Faculty of Sport Sciences, University of Isfahan, Isfahan, Iran
2Professor in Urban Planning and Geography, Faculty of Geographical Sciences and Planning, University of Isfahan, Isfahan, Iran
چکیده [English]
The aim of this study was to use of Gray Cluster Analyze (GCA) Method in Site Selection of Sport Places in Cessation Spatial status. The study area of research was three regions 5, 6 and 13 of Isfahan city (Iran) that has 34% of total area and 21% of total population of Isfahan city. For data analyzing was used of Excel, Arc/GIS, Arc/View and Auto Cad software and also coding in MATLAB, and for site selection in cessation spatial was presented a algorithm by Gray Cluster Analyze Method. Results show that by according to complexity of urban texture and non stable for criteria of site selection of sport places, Gray Cluster Analyze can present valid outcome by controlling all criteria simultaneously, that this issue is impossible in other methods.
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