西安市文化产业发展与交通网络的空间耦合关系研究

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英文篇名：Spatial coupling relationship between cultural industry development and transportation network in Xi'an City 作者：薛东前 ; 樊婷 ; 赵少敏 英文作者：XUE Dongqian;FAN Ting;ZHAO Shaomin;School of Geography and Tourism,Shaanxi Normal University; 关键词：文化产业 ; 交通系统 ; 空间分布 ; 叠加分析 ; 西安市区 英文关键词：culture industries;;traffic system;;spatial distribution;;overlay analysis;;Xi'an city 中文刊名：GHZH 英文刊名：Journal of Arid Land Resources and Environment 机构：陕西师范大学地理科学与旅游学院; 出版日期：2019-01-04 出版单位：干旱区资源与环境 年：2019 期：v.33;No.248 基金：国家自然科学基金项目(41371132);国家自然科学基金青年项目(41301170)资助 语种：中文; 页：GHZH201904013 页数：7 CN：04 ISSN：15-1112/N 分类号：84-90

摘要

文化产业和交通在空间上具有耦合现象,二者相互依赖且对彼此的发展具有促进作用。文中运用空间分析法、文化产业企业点密度分析和交通路网密度分析等方法对西安市的文化产业和交通网络分布状况进行定量化分析,研究西安市文化产业空间分布和交通路网的空间分布特征,在此基础上运用叠加分析法研究西安市文化产业与交通系统在空间上的相关关系,结果表明:(1)西安市主城区文化产业分布相对集中,集中分布区为中部、南部和西南部,而东部和北部分布稀疏。(2)主城区的交通路网总体比较完善,成网率高、断头路少、通达性高,空间分异明显。(3)文化产业发展与交通网络的空间关系密切,高度相关的街道数量占到了一半以上,弱相关的街道数量仅占一小部分,高度相关与中度相关的街道数量占比之和高达88. 8%。
        Cultural industry and transportation generally have spatial coupling phenomenon. Both two rely on each other and promote each other's development. In this paper,spatial analysis,point analysis of cultural companies' density and analysis of traffic network density were used to quantitatively study the distribution of cultural industry and transportation network in Xi'an. Based on the study of the spatial distribution of cultural industry and traffic network in Xi'an,the spatial correlation between cultural industry and transportation system in Xi'an was discussed by means of superposition analysis with conclusions: Firstly,the distribution of cultural industry in the main urban area of Xi'an is relatively concentrated,the concentrated area is central,south and southwest,but the east and north are sparse. Secondly. The traffic network of the main urban area is relatively perfect in general,with high network formation rate,few guillotine roads,high accessibility and obvious spatial differentiation. Finally,the relationship between the cultural industry development and the transportation network is closely related. The number of highly related streets accounts over half. The number of the weak related streets is only a small part,and the proportion of highly correlated streets with moderate traffic is 88. 8%.

引文

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