摘要
基于全局空间自相关、热点分析方法，对环渤海地区九省市及其下辖89个地级市客货运量空间格局进行空间分析；在此基础上，利用最小二乘法回归对客货运量的影响因子进行了全局性判定，结果表明非农业人口比重和人均城镇消费品零售额两个因子对客货运量均产生显著性影响，其他因子则对客运量或货运量产生空间异质性影响；为判断影响因子对于客货运量影响的空间异质性，采用地理加权回归模型对显著影响的因子进行空间分析，不同因子在空间上呈现出较大的空间异质性，主要表现为基于地理衰减规律的圈层结构和沿海到内陆的规律。
Passenger and cargo transportation geography is an important field of the transportation geography research. As an important distribution center of passenger and freight traffic in northern China, the Bohai Rim region plays an important role in passenger and freight traffic volume. Based on the Global Spatial Autocorrelation and Hotspot Analysis method, the spatial analysis of passenger and freight traffic volume in nine provinces under the jurisdiction of the Bohai Rim region was carried out. Based on the above analysis, the influence factors of passenger and freight traffic volume were analyzed. The results showed that non-agricultural population and retail sales of urban consumer goods per capita, had a significant impact on passenger and freight traffic, while other factors had a different affection. In order to determine the impact of factors on passenger spatial heterogeneity of the impact of freight volume was analyzed. Geographical weighted regression model was used to analyze the significant influence factors. Different factors show large spatial heterogeneity in space. The main factors are the and Law of geographical attenuation and heterogeneity along the coast to inland.
出处
《经济地理》
CSSCI
CSCD
北大核心
2018年第2期133-139,共7页
Economic Geography
基金
国家自然科学基金项目(41171096)
国家社会科学基金特别委托项目(2007@ZH005)
国家软科学重大项目(2700ZXQ4D166)
关键词
客货运量
影响因子
空间相关性
OLS
GWR
环渤海地区
passenger and cargo traffic
impact factor
spatial correlation
OLS
GWR
Bohai Rim Region
