>
Fa   |   Ar   |   En
   بررسی و تحلیل شاخص‌های توسعه هوشمند روستایی (مطالعه موردی: روستاهای شهرستان بینالود)  
   
نویسنده عنابستانی علی اکبر ,جوانشیری مهدی
منبع Journal Of Research And Rural Planning - 1395 - دوره : 5 - شماره : 4 - صفحه:187 -212
چکیده    هدف: تلاش‌های زیادی برای برطرف‌ساختن اثرات منفی گسترش پراکنده شهرها به ‌عمل‌ آمده که عمده‌ترین آن‌ها راهبرد «رشد هوشمند» است. پژوهش حاضر نیز با هدف بررسی توسعه هوشمند در نواحی روستایی شهرستان بینالود (روستاهای ابرده علیا، جاغرق، حصار گلستان و ویرانی) به دنبال ارائه چهارچوبی از این راهبرد، مشتمل بر اصول و عوامل موثّر بر شکل‌گیری آن است. روش: پژوهش حاضر، از حیث هدف «کاربردی» و به لحاظ روش و ماهیّت «توصیفی تحلیلی» است. برای جمع‌آوری اطّلاعات از روش‌های‌ اسنادی و میدانی استفاده شده است. در ابتدا برای تعیین شاخص های تحقیق از تکنیک تحلیل سلسله‌مراتبی فازی استفاده شده و برای بررسی شاخص های توسعه هوشمند روستایی در شهرستان بینالود، 4 روستای ابرده علیا، جاغرق، حصار گلستان و ویرانی به عنوان جامعه نمونه انتخاب شد که از مجموع 3549 خانوار در نقاط روستایی نمونه، با فرمول کوکران با خطای 0.075 درصد، حجم نمونه 163 خانوار به ‌دست‌ آمده است، این افراد با روش نمونه‌گیری تصادفی طبقه‌ای انتخاب شدند.یافته‌ها: با توجّه به نتایج فرآیند تحلیل سلسله مراتبی فازی مشخّص شد که شاخص‌های اقتصاد خلاق روستایی با وزن 0.534، سرمایه انسانی با وزن 0.148 و شاخص‌های اقتصادی با وزن 0.138 بیش‌ترین تاثیر را در شکل‌گیری توسعه هوشمند روستایی داشته اند. هم‌چنین، بررسی شاخص‌های مختلف توسعه هوشمند در سطح روستاهای نمونه و نتایج آزمون t تک نمونه ای نشان از شرایط نامناسب تر شاخص های کالبدی و زیست محیطی در روستاهای نمونه برای توسعه هوشمند دارد. در نهایت، براساس مدل تحلیل خاکستری نیز مشخّص شد که روستای جاغرق شرایط بهتری از سه روستای ابرده،حصار و ویرانی داشته است و روستای ویرانی در پایین ترین سطح توسعه هوشمند روستایی قرار گرفته است.محدودیّت‌ها/ راهبردها: عدم دسترسی به اطّلاعات و آمار دقیق و عدم هم‌کاری و گاه عدم صداقت برخی از روستاییان از جمله محدودیّت های تحقیق حاضر است.راه‌کارهای عملی: جلوگیری از رشد بیرونی با هدایت رشد به درون بافت، افزایش خدمات و مراکز تامین نیازهای اصلی روستاییان جهت کاهش رفت و آمد، تقویت پیوند روستاـ شهری جهت تامین نیازهای دو طرفه و غیره از جمله راه‌کارهایی در جهت پایداری و زیست پذیری سکونت گاه های روستایی این ناحیه است.اصالت و ارزش: در این مقاله سعی شده است تا با استفاده از مدل تحلیل سلسله مراتبی فازی شاخص های توسعه هوشمند روستایی شناسایی و با استفاده از تحلیل خاکستری نقاط روستایی مورد مطالعه سطح‌بندی شود.
کلیدواژه توسعه هوشمند روستایی، اقتصاد خلّاق روستایی، سرمایه انسانی، تحلیل سلسله مراتبی فازی، تحلیل خاکستری.
آدرس دانشگاه فردوسی مشهد, ایران, دانشگاه فردوسی مشهد, ایران
پست الکترونیکی anabestani@um.ac.ir
 
   The Survey and Analysis of Rural Smart Development Indicators (Case Study: Villages in Binaloud County)  
   
Authors Anabestani Aliakbar ,Javanshiri Mahdi
Abstract    Extended abstract1. INTRODUCTIONSmart development is not a new concept. Proper implementation of smart growth strategies can have various economic, social and environmental benefits; Smart growth support economic development in two ways; through raising economic productivity, and reducing the costs. One of the important preconditions for the smart development is to take into account the principles of regional planning and the properties of the study area. It means that all areas (whether developed or backward), according to their various potentials (in terms of economic conditions, knowledge and innovation capacity), can move towards smart development. However, in this study, we seek to find the relationship between smart growth policies and the rural areas which are of great variety?Although sprawl in rural areas is less than that in urban and suburb areas, rural sprawl has imposed heavy costs on rural communities, including degradation of rural lands and gardens (due to changes in landuse), high cost of infrastructure and service development, environmental fragmentation and degradation, degradation of regional biodiversity and so on. Thus, it is essential to employ the smart growth policies in rural areas and apply the principles of sustainable development. Therefore, smart development in rural areas should receive a high priority. Rural areas in Binaloud County, due to their proximity to Mashhad metropolis and enjoying many tourist attractions are highly subject to phenomena such as building more secondhomes for tourism purposes, sprawl and change in construction patterns. In this regard, the present study sought to examine rural smart development indicators in rural areas of Binaloud County, and analyze the conceptual aspects, indicators, measures of smart development and their effective indicators in these points, so that we can identify the leading indicators in rural smart development and make use of the capabilities of the policy of smart development in a large collection of rural areas. Therefore, the study seeks to answer the following questions: What are the indicators of smart rural development? Considering the indicators of smart rural development, in what conditions are the rural settlements of the study area?2. THEORETICAL FRAMEWORKIt is only a decade that rural sprawl has entered the world literature. Rural sprawl is also known as rural residential development. There is no comprehensive definition for sprawl, and it is increasingly ambiguous and evolving. However, this kind of spatial expansion is characterized by lowdensity development with single and large residential areas that lead to the destruction of open spaces, farmlands, and forests. In the mid1990s, the ‘smart growth’ was introduced to planning science and soon become a modern key word. In fact, smart growth is a regional planning strategy that aims to create a regional balance and prevent the destruction of resources, and these are in line with sustainable development goals. In other words, it is the smart growth of planning, design, development and revitalization of cities, towns, suburbs and rural areas which seek to create and promote social equality, sense of belonging to a place and community while protecting the cultural and natural resources ". Accordingly, rural settlements are also part of the spatiallocal system which in recent decades, due to development resulting from internal and external factors and forces, have grown in an unorganized manner. This has posed considerable challenges in maintaining the rural features, while supporting the economic development and the opportunities, and requires a set of tools that enable them to take the diversity of rural communities into account, and make progress towards development.3. METHODOLOGY This study is an applied one conducted in a descriptiveanalytical method. Data were collected using documentary methods and field work. A major part of the data was gathered by expert questionnaires for identifying the smart development indicators and prioritizing the research indicators, which were based on fuzzy analytical hierarchy process (FAHP) and the significance of the indicators of the study in smart development. To answer the second question of the study, four village of Abrdeh Oliya, Jagharq, Hesar Golestan and Virani in Binaloud County were selected as the sample population. A total of 3549 households were in these rural areas, of which 163 households were selected using Cochran formula and stratified random sampling method to complete the questionnaires whose validity and reliability were confirmed (with Cronbach 's alpha greater than 0.7). Then, statistical and inferential data were extracted and analyzed. In the final step, to rate the villages of the study area in terms of achieving rural smart development, we used gray relational analysis and GRA technique. For this purpose, based on the average of the six main indicators of the study, the villages of the study were rated. 4. DISCUSSIONBased on exploratory studies, six indicators of environmental, economic, rural creative economy, physical, sociocultural and human capital are effective in rural smart development. To determine their importance factor, an expertbased questionnaire was prepared and a paired comparison was conducted by 16 experts (university professors). FAHP showed the indicators of rural creative economy (0.534), human capital (0.148), and the economic indicators (0.138) had the greatest effect in shaping the rural smart development; and the environmental indicators weighing 0.214 had the least importance factor in developing rural smart development. The results of measuring the effects of rural smart development in life of the villagers in sample villages showed the average of 3.71 for the variable of rural smart development is higher than theoretical mean, and shows a positive background for rural smart development in the villages of the study area from the perspective of villagers. The indicators of human capital with an average of 3.88 and economic indicators with an average of 3.83 from the perspective of villagers, were in better conditions and accordingly would have the greatest effect in rural smart development. In spatial distribution of the average of the research variable, namely rural smart development, the village of Jagharq with the value of 3.81 and the village of Virani with the value of 3.65 respectively had the highest and lowest statistics. These results were confirmed by gray relational analysis and the village of Jagharq had the best performance in rural smart development. 5. CONCLUSIONAmong the patterns of sustainability, experts and politicians had more consensus on its compact form and its strategy, i.e., smart development. This study which analyzes the smart rural development indicators in the sample villages of Binaloud County, shows that localspatial systems are the consequence of external and internal factors and forces. In fact, the phenomenon of rural smart development in the sample villages is the consequence of six indicators: economic, environmental, physical, sociocultural, human capital and creative economy, which were identified by importance factor of each indicator in smart rural development. It should be noted that these forces and factors operate in a dialectic manner.Investigation of various indicators of smart development in sample rural areas and one sample ttest results showed the unfavorable conditions of the indicators of ‘family economy’ (12.5), environmental (14.4) and physical conditions (16.1) in these villages. In contrast, the value of tstatistics in indicators of human capital (21.8), economic (19.2) and sociocultural (19.1) were high, which show the better conditions of these indicators for the realization of smart development in the sample villages. Based on the results of variance analysis, we may conclude that there is no significant difference among the four village of Abrdeh, Jagharq, Hesar Golestan and Virani in terms of rural smart development.
Keywords
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved