شماره ركورد :
930173
عنوان مقاله :
بررسي و تحليل شاخص‌هاي توسعه هوشمند روستايي (مطالعه موردي: روستاهاي شهرستان بينالود)
عنوان به زبان ديگر :
The Survey and Analysis of Rural Smart Development Indicators (Case Study: Villages in Binaloud County)
پديد آورندگان :
عنابستاني، علي اكبر نويسنده دانشگاه فردوسي مشهد,ايران Anabestani, Ali Akbar , جوانشيري، مهدي نويسنده دانشگاه فردوسي مشهد,ايران Javanshiri, Mehdi
اطلاعات موجودي :
فصلنامه سال 1395 شماره 16
رتبه نشريه :
علمي پژوهشي
تعداد صفحه :
26
از صفحه :
187
تا صفحه :
212
كليدواژه :
سرمايه انساني , تحليل خاكستري. , توسعه هوشمند روستايي , اقتصاد خلّاق روستايي , تحليل سلسله مراتبي فازي
چكيده فارسي :
هدف: تلاش‌هاي زيادي براي برطرف‌ساختن اثرات منفي گسترش پراكنده شهرها به ‌عمل‌ آمده كه عمده‌ترين آن‌ها راهبرد «رشد هوشمند» است. پژوهش حاضر نيز با هدف بررسي توسعه هوشمند در نواحي روستايي شهرستان بينالود (روستاهاي ابرده عليا، جاغرق، حصار گلستان و ويراني) به دنبال ارائه چهارچوبي از اين راهبرد، مشتمل بر اصول و عوامل مؤثّر بر شكل‌گيري آن است. روش: پژوهش حاضر، از حيث هدف «كاربردي» و به لحاظ روش و ماهيّت «توصيفي تحليلي» است. براي جمع‌آوري اطّلاعات از روش‌هاي‌ اسنادي و ميداني استفاده شده است. در ابتدا براي تعيين شاخص هاي تحقيق از تكنيك تحليل سلسله‌مراتبي فازي استفاده شده و براي بررسي شاخص هاي توسعه هوشمند روستايي در شهرستان بينالود، 4 روستاي ابرده عليا، جاغرق، حصار گلستان و ويراني به عنوان جامعه نمونه انتخاب شد كه از مجموع 3549 خانوار در نقاط روستايي نمونه، با فرمول كوكران با خطاي 0.075 درصد، حجم نمونه 163 خانوار به ‌دست‌ آمده است، اين افراد با روش نمونه‌گيري تصادفي طبقه‌اي انتخاب شدند.يافته‌ها: با توجّه به نتايج فرآيند تحليل سلسله مراتبي فازي مشخّص شد كه شاخص‌هاي اقتصاد خلاق روستايي با وزن 0.534، سرمايه انساني با وزن 0.148 و شاخص‌هاي اقتصادي با وزن 0.138 بيش‌ترين تأثير را در شكل‌گيري توسعه هوشمند روستايي داشته اند. هم‌چنين، بررسي شاخص‌هاي مختلف توسعه هوشمند در سطح روستاهاي نمونه و نتايج آزمون T تك نمونه اي نشان از شرايط نامناسب تر شاخص هاي كالبدي و زيست محيطي در روستاهاي نمونه براي توسعه هوشمند دارد. در نهايت، براساس مدل تحليل خاكستري نيز مشخّص شد كه روستاي جاغرق شرايط بهتري از سه روستاي ابرده،حصار و ويراني داشته است و روستاي ويراني در پايين ترين سطح توسعه هوشمند روستايي قرار گرفته است.محدوديّت‌ها/ راهبردها: عدم دسترسي به اطّلاعات و آمار دقيق و عدم هم‌كاري و گاه عدم صداقت برخي از روستاييان از جمله محدوديّت هاي تحقيق حاضر است.راه‌كارهاي عملي: جلوگيري از رشد بيروني با هدايت رشد به درون بافت، افزايش خدمات و مراكز تأمين نيازهاي اصلي روستاييان جهت كاهش رفت و آمد، تقويت پيوند روستاـ شهري جهت تأمين نيازهاي دو طرفه و غيره از جمله راه‌كارهايي در جهت پايداري و زيست پذيري سكونت گاه هاي روستايي اين ناحيه است.اصالت و ارزش: در اين مقاله سعي شده است تا با استفاده از مدل تحليل سلسله مراتبي فازي شاخص هاي توسعه هوشمند روستايي شناسايي و با استفاده از تحليل خاكستري نقاط روستايي مورد مطالعه سطح‌بندي شود.
چكيده لاتين :
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.
سال انتشار :
1395
عنوان نشريه :
پژوهش و برنامه ريزي روستايي
عنوان نشريه :
پژوهش و برنامه ريزي روستايي
اطلاعات موجودي :
فصلنامه با شماره پیاپی 16 سال 1395
كلمات كليدي :
#تست#آزمون###امتحان
لينک به اين مدرک :
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