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高速铁路对沿线区域社会经济影响梯度的研究

Gradient Research on High Speed Railway’s Socio-economicImpact on Region Along

【作者】 杜小倩

【导师】 苟娟琼;

【作者基本信息】 北京交通大学 , 管理科学, 2012, 硕士

【摘要】 高速铁路作为目前解决客运问题的最有效途径,对沿线区域的社会经济发展产生重要而深远的影响。随着京津城际、沪宁、沪杭、京沪等一系列高速铁路的开通,如何科学合理的量化分析高速铁路对区域社会经济的影响程度及影响范围,是铁路等相关部门与广大学者面临的重要问题,并日益受到国内外学者的广泛关注。高速铁路对社会经济的影响主要是通过对沿线节点城市的影响表现出来的。科学的研究高速铁路对沿线节点城市的社会经济影响,并进一步合理的确定沿线节点城市的影响范围,是制定区域整体发展策略的重要依据,也是协调区域中城市之间相互关系的前提。本文在总结国内外相关研究基础上,以京沪铁路沿线城市为例,从社会、经济、资源和环境四个方面全面的选取指标,并从沿线节点城市与节点影响范围两个角度出发,分别利用数据包络分析(Data Envelopment Analysis简称DEA)模型与重力模型对高速铁路的区域社会经济影响展开研究,并根据影响程度的进行梯度划分,并提出了相关结论。本论文共分六个章节。前两章是导引,分别为引言、相关理论方法研究。第一章引言分析了本研究的背景及意义,对国内外有关高速铁路社会经济影响的研究情况进行了梳理,简要介绍了本文的研究内容与研究路线。第二章详细介绍了数据包络方法和势能模型的相关理论、应用与发展。第三、四、五章是本文的主体部分,第三章主要是从社会、经济、环境、资源四个方面对社会经济系统进行解析,并构建社会经济评价指标。第四章是从节点城市的角度出发,利用DEA模型对高速铁路的社会经济影响进行评价,并利用评价得分划分影响梯度。第五章是从节点城市影响范围的角度出发,利用改进后的重力模型计算节点对周边区域的吸引度,并以此来确定高速铁路对沿线区域的影响梯度。第六章为本文结论部分,主要总结了本文的研究成果,分析了本文的不足及后续工作的主要内容。

【Abstract】 As the most effective way to resolve passenger problems, High-speed rail plays an important and far-reaching role in social and economic development. With the Beijing-Tianjin inter-city, the Shanghai-Nanjing, Shanghai-Hangzhou, Beijing-Shanghai high-speed railway and so on to open, how to scientifically and reasonably quantitative analysis of influence of socio-economic and regional sphere of high-speed railway becomes important issue of railway’s relevant departments and the general scholars, and increasingly attracts extensive attention from scholars home and abroad. Scientific research on socio-economic impact of the node cities along the high-speed rail, and reasonably determining the influenced sphere of the node cities are not only important basis for establishing the development strategy of the overall regional, but as the premise of coordinating mutual relations between the cities of the region.Based on concluding related literature extensively, taking Beijing-Shanghai Railway for example, this paper selects indicators from society, economic, resources and environment, and from the perspectives of departure from the node cities and influenced spheres of the node cities, this paper uses Data Envelopment Analysis(DEA) model and gravity model to study the regional socio-economic impact of the high-speed rail, and divides the influenced regions along the high-speed rail by the gradient method.This degree paper consists of six chapters. The first two chapters are the guidance, including introduction of the paper and relevant theoretical approaches. Chapter1analy ses the background and significance of the research, a brief introduction to the content a nd the line of the research on socio-economic impact of the high-speed rail. The second chapter describes details about the theory, application and the development of data envel opment analysis and potential models.Chapter3,4and chapter5are the main part of this article. The third chapter interpr ets socio-economic system from the aspects of the society, economy, environment and r esources, and builds the evaluation indicator for social economy. Chapter4uses DEA m odel to evaluate the socio-economic impact of the high-speed rail to the city from nodal cities’perspective.Chapter5uses the improved gravity model to evaluate nodal attraction for surroun ding area from the perspective of nodal cities’influence basin, and then ascertains the in fluence gradient of the high-speed rail.Last but not the least, this chapter summarizes the main results and analysis the shortcomings of this paper. What’s more, the main content of the following work are also introduced here.

【关键词】 高速铁路DEA模型重力模型影响梯度
【Key words】 High-speed railDEA evaluationgravity modelgradient
  • 【分类号】F532;F127;F224
  • 【被引频次】3
  • 【下载频次】497
  • 攻读期成果
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