CAJ | 학술논문

用重要区域邻近度替代区位优势度，对交通优势度评价模型进行修正，借助 GIS 软件的空间分析及 SPSS软件的统计分析工具，并用修正后的模型，以江西省为研究对象，研究了该区域县域交通优势度和经济发展的空间分布特征与空间关联。江西省交通优势度呈现北高南低、设区市周边县域高、交通干线沿线高的特点；县域经济发展水平呈现整体偏低且发展不均衡、主要中心城市和工业城市及交通枢纽地区偏高、沿交通干线尤其是铁路干线较高的特点；交通优势度与县域经济发展呈线性相关，有4种组合类型：极化型、滞后型、超前型、落后型。为促进县域经济的发展，应从点（增长极）、线（发展主轴）及面（重点区域）3个方面发展交通网络。
용중요구역린근도체대구위우세도，대교통우세도평개모형진행수정，차조 GIS 연건적공간분석급 SPSS연건적통계분석공구，병용수정후적모형，이강서성위연구대상，연구료해구역현역교통우세도화경제발전적공간분포특정여공간관련。강서성교통우세도정현북고남저、설구시주변현역고、교통간선연선고적특점；현역경제발전수평정현정체편저차발전불균형、주요중심성시화공업성시급교통추뉴지구편고、연교통간선우기시철로간선교고적특점；교통우세도여현역경제발전정선성상관，유4충조합류형：겁화형、체후형、초전형、락후형。위촉진현역경제적발전，응종점（증장겁）、선（발전주축）급면（중점구역）3개방면발전교통망락。
Replacing superiority degree of location by the important regional proximity , this study revised the evaluation model of transportation superiority .Taking the spatial analyst tools of GIS and the statistical analysis tools of SPSS, and with the identified model, this analysis took Jiangxi as a case and discussed the space distribution characteristics and the spatial relationship between transportation superiority degree and economic development of county territory in this region.The transportation superiority degree of Jiangxi Province presented these characteris -tics: It was high in the north and low in the south, and the superiority degree of counties which are around the dis -tricts and around the main lines was high .The level of economic development of counties in Jiangxi Province pres -ented these characteristics: The integral level is low and unbalanced development .It is higher in main center city, industrial city and transportation hub region and along the traffic trunk line , especially along the railway .There is significant linear correlation between transportation superiority and economic development in county territory , and there are four combined types: polarization type, retarded type, advanced type, behind type.In order to promote the development of county economy, traffic network should be improved from three aspects of point i .e.growth pole, line i.e.development of the main shaft and area i .e.key areas.