小城镇公共服务设施空间配置效率评估模型及优化配置研究

发布时间：2018-06-06 07:24

本文选题：评估模型 + 公共服务设施　；参考：《华中科技大学》2014年硕士论文

【摘要】：中国统计年鉴2012数据显示，中国的小城镇含乡及建制镇共有40466个，生活在小城镇及其农村腹地的人群达到8亿多，而长期以来中国小城镇公共服务设施的规划配置标准过于简单，且大多以政策性和原则性的定性研究为主，对配置规模、等级的定量研究相对较少，仅有的定量研究也一般是局限于特定条件下的特定案例，并不具有普遍性，更缺乏相应的量化评价指标体系。此外，就公共服务设施空间布局合理性来说，，国内外现有的研究也大多从供给数量和区位上加以考量，并没有从使用者的角度来评价公共服务设施的合理性和适应性，立足于配置效率从供给的数量和质量两方面来评价服务设施空间布局合理性的相关研究更是欠缺。其可能造成的后果往往是政府提供的社会公共资源要么覆盖不足，要么效率低下。本文通过大量的小城镇服务设施配置指标的数据调查，结合具体规划建设的实证研究，利用数学模型和空间技术手段，定量分析小城镇公共服务设施空间配置及其效率问题，以此指导小城镇公共服务设施优化配置，弥补仅有的刚性指标的不足。论文以中部六省140个小城镇为例，收集足够的微观调查数据，包括设施规模、人口聚居度、经济发展程度、交通条件等。通过运用因子分析方法，对调查数据进行初步处理，获得影响配置效率的影响因子，分为设施配置、设施需求两大类。进而通过GIS空间技术手段对各个因子进行空间分析及叠置。最后，利用三维模拟建立公共服务设施配置和设施需求的空间对应关系，此即为对公共服务设施空间配置效率的评估模型。利用该模型，本文针对性的提出赣北四县小城镇的公共服务设施配置问题，并给出优化建议。本文的模型将有助于科学预判小城镇公共服务设施配置的合理性及适应性，揭示小城镇公共服务设施配置效率与空间布局的内在规律，以此指导建构小城镇优质高效的公共服务设施体系。
[Abstract]:Data from the China Statistical Yearbook of 2012 show that there are 40,466 small towns in China, including townships and built-up towns, and more than 800 million people live in small towns and their hinterland. However, for a long time, the planning and allocation standards of public service facilities in small towns in China have been too simple, and most of them are based on the qualitative research of policy and principle, and the quantitative studies on the scale and grade of allocation are relatively few. The only quantitative research is generally limited to specific cases under specific conditions, which is not universal and lacks the corresponding quantitative evaluation index system. In addition, as far as the rationality of the spatial layout of public service facilities is concerned, most of the existing researches at home and abroad also consider the quantity of supply and location, and do not evaluate the rationality and adaptability of public service facilities from the perspective of users. Based on the allocation efficiency from the supply of quantity and quality to evaluate the spatial layout of service facilities rationality of the relevant research is lacking. The possible consequence is that the public resources provided by the government are either inadequately covered or inefficient. In this paper, through a large number of data investigation on the allocation index of service facilities in small towns, combined with the empirical study of specific planning and construction, using mathematical model and space technology means, quantitative analysis of the spatial allocation and efficiency of public service facilities in small towns. In order to guide the optimal allocation of public service facilities in small towns, to make up for the lack of only rigid indicators. Taking 140 small towns in six provinces of central China as an example, this paper collects enough microscopic survey data, including the scale of facilities, population density, economic development, traffic conditions, and so on. By using the method of factor analysis, the investigation data are preliminarily processed, and the factors affecting the allocation efficiency are obtained, which can be divided into two categories: facility allocation and facility demand. Then the spatial analysis and overlay of each factor are carried out by GIS space technology. Finally, the spatial correspondence between the allocation of public service facilities and the needs of facilities is established by three-dimensional simulation, which is the evaluation model for the efficiency of spatial allocation of public service facilities. Using this model, this paper puts forward the allocation of public service facilities in four small towns in four counties of northern Jiangxi Province, and gives some suggestions for optimization. The model of this paper will be helpful to predict the rationality and adaptability of public service facilities allocation in small towns, and to reveal the internal laws of the allocation efficiency and spatial distribution of public service facilities in small towns. In order to guide the construction of small towns high-quality and efficient public service facilities system.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TU99;TU984

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