تحلیل فضایی عوامل موثر بر شکل گیری هسته های جدید شهری (نمونه موردی: کلانشهر کرمانشاه) (مقاله علمی وزارت علوم)
درجه علمی: نشریه علمی (وزارت علوم)
آرشیو
چکیده
تجربه توسعه شهری نشان داده است که بخش مرکزی شهرها به مرور توان خود را در برخی ابعاد به ویژه در اسکان طبقات مرفه و ارائه خدمات نوین و پیشرفته از دست می دهند. در نتیجه شهرها به طور طبیعی به پهنه های جدید جهت ساماندهی جمعیت، فعالیت و خدمات روی آورده و مناطق جدید شهری در قالب ساختار چندهسته ای پدید می آورند. پژوهش حاضر از لحاظ هدف، کاربردی غیرتجرب ی و در چارچوب الگوی تحلیلی موردی انجام شده است. جهت تحلیل داده ها از مدل GMM، آمار فضایی، روش پیترهال و شاخص اختلاط کاربری استفاده شده است. مطابق با نتایج مناطق 1، 3 و 4 بیشترین میزان فعالیت و کارکرد را داشته اند. ارزیابی ساختار شهر وجود یک هسته قوی در منطقه 1 و هسته های فرعی ضعیف تری در مناطق را نشان می دهد، اما کارکرد اصلی در شهر کرمانشاه دارای الگوی تک هسته ای است. مطابق نتایج فرضیه صفر آزمون موران (0.003) در مناطق 8گانه کلانشهر کرمانشاه سه فاکتور فاصله ، درجه تمرکز و عامل دسترسی در سطح معناداری بالایی تأیید می شود. ضریب خودهمبستگی فضایی در سطح بالایی معنادار است و مؤید وجود وابستگی فضایی در اجزا اخلال مدل رشد هسته مسکونی و ارتباط معنادار آن با سایر کاربری های شهری است. به این معنی که شوک وارد بر یک هسته، به دیگر هسته ها نیز سرایت کرده است. نتایج نشان می دهد که رشد هسته مسکونی در یک منطقه تا چه میزان متأثر از شوک وارد بر تابع فاصله و میزان دسترسی به هر هسته در سایر مناطق شهر بوده است. در بین متغیرهای موجود، درجه تمرکز یا تفرق جمعیت (117.03) و درصد توزیع کاربری های مسکونی (0.7402) به عنوان مهم ترین عوامل و متغیر فاصله (0.687-) به عنوان متغیر کنترل، دارای اثر منفی بر رشد و توزیع هسته تجاری بوده است به این معنی که کاربری های تجاری با فاصله بیشتر از هم، رشد پایین تری داشته اند.Analysis of factors affecting the formation of multicore structure of cities (Case study: Kermanshah metropolis)
The experience of urban development has shown that the central part of cities gradually lose their power in some dimensions, especially in the housing of the affluent classes and the provision of new and advanced services. As a result, cities naturally turn to new areas to organize population, activities, and services, and create new urban areas in the form of a multicore structure. The present study is applied-non-experimental in terms of purpose and in the framework of analytical-case model. GMM model, spatial statistics, Peterhall method and user mixing index were used to analyze the data. According to the results, regions 1, 3 and 4 had the highest level of activity and function. Assessing the structure of the city shows the existence of a strong nucleus in region 1 and weaker sub-nuclei in the regions, but the main function in the city of Kermanshah has a single-core pattern. According to the results of the null hypothesis of Moran test (0.003) in the eight areas of Kermanshah metropolis, the three factors of distance, degree of concentration and access factor are confirmed at a high level of significance. The spatial autocorrelation coefficient is significant at a high level and confirms the existence of spatial dependence in the components of the disruption of the residential core growth model and its significant relationship with other urban uses. This means that the shock on one nucleus has spread to other nuclei. The results show that the growth of residential nuclei in one area has been affected by the shock as a function of distance and the amount of access to each nucleus in other areas of the city. Among the existing variables, the degree of concentration or dispersion of the population (117.03) and the percentage of distribution of residential uses (0.7402) as the most important factors and the variable of distance (-0.687) as a control variable, had a negative effect on the growth and distribution of commercial core. This means that commercial applications with a greater distance from each other have had lower growth. Extended IntroductionPolycentric city is a descriptive concept that over time has become a normative, positive theory and an analytical framework. Multi-core development has different meanings depending on the scale of the space we report on, and different meanings for policymakers. Multicellular development an important concept in spatial planning involves linking a number of locations in such a way that they form a network in which they work together to develop and support their businesses, services and facilities. It is defined in an urban realm and is accepted as a spatial reciprocal form of being mono-nuclear.MethodologyThe purpose of this study is spatial analysis of effective factors in the formation of new nuclei in Kermanshah metropolis. In terms of purpose, research is an applied type that has been done in a descriptive-analytical method and based on documentary library studies and field studies. Due to the nature of the data and the impossibility of controlling the behavior of the effective variables in the problem, this research has been non-experimental and has been conducted within the framework of a case-study model. The study period was the summer of 1400 and the study sample was a statistical block and all urban land use of Kermanshah metropolis and obtaining the main data, mainly using the data of the Statistics Center of Iran, the above documents include a comprehensive and detailed plan.Results and discussionAccording to the results, spatial autocorrelation coefficient is significant at a high level, which confirms the existence of spatial dependence in the components of the disruption of the residential core growth model and its significant relationship with other urban uses. This means that the shock on one nucleus has spread to other nuclei. In other words, the spatial autocorrelation coefficient shows how much the growth of a residential core in one area has been affected by the shock effect as a function of distance and the amount of access to each core in other areas of the city. Among the existing variables, the degree of population concentration or dispersion and the percentage of distribution of residential uses are known as the most important factors affecting the growth of new nuclei. The distance variable as a control variable has a negative effect on the growth and distribution of the commercial core and is significant at a high level; This means that commercial applications with a greater distance from each other have had lower growth. In the spatial analysis of administrative and educational services, the concentration of the mentioned units in the central core of Kermanshah is significant. These two activities, as important and comprehensive urban services, play a key role in attracting daily travel and meeting the needs of citizens. Statistical data and related maps show that the central core of Kermanshah metropolis in providing educational and administrative services still dominates other areas and new centers with this degree of concentration have not yet been formed in Kermanshah metropolis. The most important and significant industrial elements in Kermanshah metropolis are oil and petrochemical industries, iron and construction materials.ConclusionThe basis for the evolution and evolution of the spatial structure of Kermanshah is coherence, livability and efficiency, the cohesive structure of which requires network and multicenter ossification due to the increase in population of this metropolis during the last decade. The pattern of development of residential activity is different from other activities, and that is the formation of several nuclei other than zone 1 as the physical nucleus; In other words, other residential nuclei have been formed as competitors in regions 6, 5, 4 and 2, which can play an effective role in the formation of multi-core Kermanshah. Another activity is related to industrial activity, this activity is more concentrated in the southern and southwestern areas of Kermanshah and is very different from other activities; As most activities tend to be centered, this activity tends to the periphery and also proves its distribution pattern. Another activity is related to the distribution pattern of tourism and recreation centers, this activity is more inclined to the east and the commercial center of the city, and its most important core is located in areas 1, 3 and 4
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