چکیده:
روند شهری شدن در کشورهای درحالتوسعه با عدم تعادلهای فضایی، قطبی شدن مناطق و گروههای اجتماعی، رشد بیقواره شهری و شکلگیری گسترههای فقر در حوزههای شهری همراه شده است. فقر شهری افراد را با محدودیتهای بسیاری ازجمله دسترسی محدود به فرصتهای شغلی - درآمدی، عدم بهرهمندی از مسکن و خدمات مناسب، محیطهای ناسالم و خشن، عدم بهرهمندی از خدمات اجتماعی، سازوکارهای حمایتی بهداشتی و آموزشی، مواجه میسازد. تحلیل فضایی این گسترهها، میزان محرومیت نواحی مختلف را مشخص و اولویت اقدامات را برای ارتقای سطح زندگی معلوم مینماید. هدف پژوهش حاضر بررسی نابرابریهای موجود و نشان دادن الگوی فقر در بلوکهای شهری اردبیل با تأکید بر شاخصهای اجتماعی طی سالهای 1385 تا 1395 است. روش پژوهش توصیفی- تحلیلی است. تحلیل فضایی فقر در سطح بلوکهای شهر اردبیل با استفاده از 21 شاخص اجتماعی و با بهرهگیری از مدلهای آمار فضایی، تحلیل لکههای داغ و خودهمبستگی فضایی در نرمافزار آرک جیآیاس انجامشده است. بر اساس نتایج پژوهش، بلوکهای شهری اردبیل در هر دوره موردمطالعه در طیفهای متفاوتی قرار دارند؛ بخشهای غربی و شمال غربی جز بلوکهای فقیر، در مقابل شرایط ساکنین بخشهای جنوبی و بخشی از شمال شرقی شهر به لحاظ اجتماعی بسیار مطلوب میباشند. همچنین پژوهش نشان داد که شاخص محاسبه موران برای سال 1385 برابر با 100517/0 و برای سال 1395 برابر با 137205/0 میباشد که این نشاندهنده خودهمبستگی فضایی دادههای موردنظر است. الگوی پراکنش فقر در شهر اردبیل از مدل خوشهای تبعیت میکند که باعث ایجاد نظام دوقطبی بالاشهری و پایینشهری شده است.
IntroductionUrban poverty is a multidimensional problem that Faces people with many limitations including limited access to employment and income, lack of adequate housing and services, unhealthy and violent environments, and lack of access to social services and health support mechanisms, and Educational. Thus, in explaining spatial inequality and urban poverty we cannot simply focus on its economic dimension: because Citizen poverty and social poverty are also other dimensions of poverty that are central to the spread all kinds of social harm and deviation. Today, the weaknesses of poverty studies and poverty-based approaches in cities are evident to almost everyone. It can be said that a realistic understanding and analysis of poverty in urban areas requires more attention to the social dimensions of this problem. Since urban poverty has been the focus of economic attention in most of the cases and few studies have addressed the social aspects affecting urban poverty, Therefore, the present study, with emphasis on the effective social aspects in this field, identifies the extent of social poverty and its pattern of spread in Ardabil during 2006 to 2016 to provide a platform for policymakers, planners, and urban managers to make decisions about reducing poverty and social deprivation problems in urban areas.MethodoloyThe purpose of this study is practical and in terms of the nature and method of the research we use descriptive-analytical methods. Source of cited indices and quantities used, data and information of statistical blocks of general population census and housing of Ardabil city during 2006- 2016 and maps (GIS), Deputy Governor of Ardabil Planning.The statistical population of the study is the statistical blocks of Ardabil city during the period of 2006 to 2016. The ARC/GIS software has been used to illustrate the poverty situation in this city using the Hot Spot Analysis technique of spatial autocorrelation. Moran's statistic was used to analyze the distribution patterns of urban poverty.Results and discussionTo study the spatial inequality and determination of urban poverty in Ardebil city, we used the data of 2006 and 2016 statistical blocks and in Arc / GIS software using its capabilities, hot spot analysis are done for all the indices used in Ardabil. This analysis calculates the Gateway-RD statistic for all the effects in the data. Also, with respect to the calculated Z score, it can be shown in which blocks the data are clustered with high or low values. According to this analysis, the higher the Z score, the higher the values clustered and it make hot spots. In the case of the negative and significant Z in terms of Statistical, we can say that the smaller the Z score, the more severe the clustering of the lower values and indicating cold spots. According to the data obtained, in 2006, out of 5142 urban blocks in Ardebil, about 53% were in very deprived and deprived condition, 26% were in moderate condition and about 21% were in good condition. According to 2016 data, these percentages are 46, 23, 33, respectively, among 6439 urban blocks, which also indicates that Ardabil city blocks in terms of social indices in 2016 compared to 2006 is in a better position. At this stage, after identifying the cold and hot spots for each of the indices, the maps are combined and finally the final map for both periods 2006 and 2016, according to the Morris Index is categorized in 5 levels from the most privileged to the most deprived. After classifying Ardebil city blocks in 2006 and 2016, Arc / GIS software and spatial autocorrelation tool have been used to illustrate the pattern of distribution and distribution of this inequality. It is used to analyze patterns of distribution and distribution of effects and phenomena in space and space and is known as the Moran statistic. In this study, the calculated Moran index for 2006 is 0.100517 and for 2016 is 0.137205. These values are smaller than one and on the other hand the value of P-value is zero. It can be concluded that the data in question have spatial autocorrelation and since the value of Moran is positive and close to one, so the spatial pattern of poverty in Ardebil In 2006 and 2016 it has been clustered and concentrated. In Ardebil's poverty and spatial inequality cluster model, the most disadvantaged and most disadvantaged clusters are located in the northern, western and western parts, and the focus of these clusters is largely influenced by urban creep and rural core integration to the body of the city. These embedded textures in the city due to the prevailing conditions of their formation, both physically and economically and socially had vulnerable and unstable textures and formed double poles at the city level.ConclusionA deeper scrutiny of and awareness of each community is the first step in planning for a greater and more decisive fight with poverty. Studying more deeply leads to a deeper understanding of the process, and over the course of time. It provides a compelling picture of poverty. Among these measures, the conflict between the object and the mind, or more modernly, the quantitative and qualitative attitudes toward achieving poverty eradication efforts. In recent years this struggle has shifted in favor of a qualitative attitude and emphasis on socio-cultural indicators. The spread of the phenomenon of poverty, especially in the suburbs of Ardebil, is the major problem of the city, which has increased in recent years with rural migration and the incorporation of rural textures into the city limits and the expansion of suburbanization. Given that the nature and dimensions of the power created in the Ardebil blocs are not only a necessity for an inequality, but also are a necessity based on human values, Therefore, in this study, 21 social indices were extracted from the statistical blocks of 2006 and 2016, and by applying these indices to Arc GIS environment, the poverty and inequality situation in Ardabil city was investigated.
خلاصه ماشینی:
تجزيه وتحليل فقر شهري با تأکيد بر شاخص هاي اجتماعي بين سال هاي ١٣٨٥ و ١٣٩٥ مطالعه موردي: شهر اردبيل پروين ده ده زاده سيلابي - دکتري جغرافيا و برنامه ريزي شهري، دانشگاه محقق اردبيلي، اردبيل ، ايران نرگس احمدي فرد١- استاديار گروه معماري، دانشگاه ايوان کي، ايوان کي، ايران تاريخ دريافت : ١٣٩٩/٠٩/٣٠ تاريخ پذيرش : ١٤٠٠/٠٧/١٧ چکيده روند شهري شدن در کشورهاي درحال توسعه با عدم تعادل هاي فضايي، قطبي شدن مناطق و گروه هاي اجتماعي، رشد بيقواره شهري و شکل گيري گستره هاي فقر در حوزه هاي شهري همراه شده است .
مؤلفه ها و شاخص هاي پژوهش (رجوع شود به تصویر صفحه) بحث و يافته ها براي بررسي نابرابري فضايي و تعيين گستره هاي فقر شهري در شهر اردبيل ، از داده هاي بلوکهاي آماري سال ١٣٨٥ و ١٣٩٥ استفاده و در نرم افزار آرک جيآياس با استفاده از قابليت هاي آن ، تحليل لکه هاي داغ براي همه شاخص هاي مورداستفاده در پژوهش انجام شده است .
مي توان نتيجه گرفت داده هاي موردنظر داراي خودهمبستگي فضايي هستند و چون مقدار موران مثبت و نزديک به يک است ، بنابراين الگوي فضايي فقر در شهر اردبيل هم در سال ١٣٨٥ و هم در سال ١٣٩٥ به صورت خوشه اي و متمرکز بوده است شکل (٤ و ٥)، نمايش گرافيکي اين تحليل ها را نشان مي دهد: (رجوع شود به تصویر صفحه) شکل شماره ٤.
نتيجه حاصل از محاسبه ضريب خودهمبستگي فضايي فقر اجتماعي براي سال ١٣٨٥ بيانگر توزيع خوشه اي اين شاخص در سطح شهر اردبيل است .
Measuring urban poverty using multi-source data and a random forest algorithm: A case study in Guangzhou.