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تحلیل نابرابری فضایی شاخصهای مسکن در شهرهای استان مازندران | ||
| مطالعات ساختار و کارکرد شهری | ||
| دوره 13، شماره 1، فروردین 1405، صفحه 89-111 اصل مقاله (794.49 K) | ||
| نوع مقاله: مقالات مستقل پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22080/usfs.2025.28132.2482 | ||
| نویسندگان | ||
| عامر نیک پور* 1؛ صدیقه لطفی2؛ فاطمه سارانی ملاک3 | ||
| 1دانشیار، گروه جغرافیا و برنامهریزی شهری، دانشکدۀ علوم انسانی و اجتماعی، دانشگاه مازندران، بابلسر، ایران | ||
| 2استاد، گروه جغرافیا و برنامه ریزی شهری، دانشکدۀ علوم انسانی و اجتماعی، دانشگاه مازندران، بابلسر، ایران | ||
| 3کارشناس ارشد، گروه جغرافیا و برنامهریزی شهری، دانشکدۀ علوم انسانی و اجتماعی، دانشگاه مازندران، بابلسر، ایران | ||
| تاریخ دریافت: 23 فروردین 1404، تاریخ بازنگری: 21 اردیبهشت 1404، تاریخ پذیرش: 30 مهر 1404 | ||
| چکیده | ||
| رشد فزایندۀ شهرنشینی و سیاستهایی که در پی رشد و توسعۀ کشور اتخاذ شده، به مشکلاتی منجر شده که از آن تحت عنوان بحران مسکن یاد میشود. نوع پژوهش حاضر به لحاظ هدف کاربردی ـ توسعهای میباشد و از جهت ماهیت و روش توصیفی ـ تحلیلی است. در این پژوهش 17 شاخص مربوط به مسکن در زمینۀ شاخصهای کیفی، کمی، کالبدی، اقتصادی و جمعیتی تعریف شد. این شاخصها از دادههای خام بلوکهای آماری شهرهای استان مازندران در سالهای1385 و 1395 به دست آمد. اطلاعات و دادهها در محیط EXCEL، SPSS پردازش شد و نقشهها در Arc GIS تهیه و ترسیم شده است. با استفاده از روشهای تحلیل عاملی و تحلیل خوشهای به شناخت، تحلیل و رتبهبندی وضعیت شهرها پرداخته شد. نتایج حاصل از رتبهبندی براساس روش تحلیل مؤلفه اصلی نشان داد، شهرهای ساری، آمل، قائمشهر و بابل به ترتیب در چهار رتبه اول قرار دارند و شهرهای کجور، زرگر شهر، فریم و بلده به ترتیب چهار رتبه آخر برخورداری از شاخصهای مسکن را به خود اختصاص دادهاند. براساس روش تحلیل خوشهای، شهرهای استان در چهار خوشه طبقهبندی شدهاند که در خوشه اول 21 شهر و 13 درصد جمعیت شهری، در خوشه دوم 32 شهر و 86 درصد جمعیت شهری، در خوشه سوم 2 شهر و 1 درصد جمعیت شهری، در خوشه چهارم 3 شهر و حدود 1 درصد دیگر جمعیت شهری قرار گرفته است. طبق نتایج بین کیفیت مسکن با متغیرهای اندازه شهر، تراکم جمعیت، تراکم ساختمانی، تراکم مسکونی و مساحت شهرها رابطۀ مستقیم معنیدار ولی با متغیر ارتفاع شهر از سطح دریا رابطه معکوس معنیدار وجود دارد. | ||
| کلیدواژهها | ||
| نابرابری فضایی؛ شاخص های مسکن؛ تحلیل عاملی؛ تحلیل خوشه ای؛ شهرهای مازندران | ||
| عنوان مقاله [English] | ||
| Analysing Spatial Inequality of Housing Indicators in the Cities of Mazandaran Province | ||
| نویسندگان [English] | ||
| Amer Nikpour1؛ Sedigheh Lotfi2؛ Fatemeh Sarani mallak3 | ||
| 1Associate Professor, Department of Geography and Urban Planning, University of Mazandaran, Iran | ||
| 2Professor, Department of Geography and Urban Planning, University of Mazandaran, Iran | ||
| 3MSc of Geography and Urban Planning, University of Mazandaran, Iran | ||
| چکیده [English] | ||
| The rapid growth of urbanisation in recent decades, along with the policies adopted in response to the country's development, has led to a housing crisis. This research is applied-developmental in terms of purpose and descriptive-analytical in terms of nature and method. In this study, it was enough to determine 17 indicators related to housing in the field of qualitative, quantitative, physical, economic and demographic indicators, which were obtained from the data of statistical blocks of cities in the province in 2016 and 2006. Information and data were processed in EXCEL, SPSS environment and maps were prepared and drawn in ArcGIS software. Using factor analysis and cluster analysis methods, the situation of cities in relation to the selected indicators was identified, analyzed and ranked. The results of the ranking based on the principal component analysis method showed that the cities of Sari, Amol, Ghaemshahr and Babol are in the first four ranks, respectively, and the cities of Kojoor, Zargar Shahr, Frame and Baladeh have the last four ranks in terms of housing indicators, respectively. Have dedicated to themselves. According to the cluster analysis method, the cities of the province are classified into four clusters, in the first cluster 21 cities and 13% of the urban population, in the second cluster 32 cities and 86% of the urban population, in the third cluster 2 cities and 1% of the population Urban is located in the fourth cluster of 3 cities and about 1% of the other urban population. It has also been found that there is a significant relationship between city size and housing quality, ie the larger the city, the better the housing quality, and on the other hand, the relationship between housing quality and population density, building density, housing density and urban area. Significant direct but significant inverse relationship has been observed with the variable of city height above sea level. | ||
| کلیدواژهها [English] | ||
| Spatial Inequality, Housing indicators, Factor analysis, Cluster analysis, cities of Mazandaran | ||
| مراجع | ||
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