中文摘要：

以甘肃省为研究对象,从道路网出发,结合甘肃省社会经济因素,以县（区）为单元,运用GIS理论方法计算甘肃省道路网密度,并分析了道路网密度与人口密度、GDP密度之间的相关性,考虑到道路网建设还受资源、产业结构、道路网建设政策及其它运输方式的影响,提出了道路网依赖-偏好指数。在此基础上,分析了甘肃省道路网密度和依赖—偏好指数分布及空间特征。结果表明：①甘肃省道路网密度以兰州市、嘉峪关市为中心向外衰减,道路网密度整体分布东南比西北高,东南比西北均匀;②道路网密度与人口、生产总值等社会经济因素相关性很高,受经济发展水平和道路建设政策影响很大;③5.75%的县区属于超强依赖或超强偏好型,20.68%的县区属于强依赖或强偏好型,62.7%的县区属于中等依赖或中等偏好型,8.05%的县区属于较弱依赖或较弱偏好型,3.45%的县区属于弱依赖或弱偏好型。以兰州为中心及河西走廊地区的道路网依赖—偏好指数高于东部和南部山区。可为甘肃省道路网与人口、经济协调发展提供基础理论和参考依据。

英文摘要：

Taking Gansu Province as an study area, the article employs the technical processes and assessment to calculate the road network density based on the analysis of the social and economic development of Gansu Province using GIS technology. And the relationship of the network density with population and GDP is ana- lyzed, it is found that there exists a stable mathematical relation and a statistics law among them. The study has the following results. I） The density of road network in Gansu Province is outward decay along the center of Lanzhou and Jiayuguan. The distribution of network density is higher in the southeast than northwest of Gan- su, and also more uniform in the southeast than northwest Gansu.2） Road network density and population den- sity, GDP and other socio-economic factors are highly relevant, and it is obviously influenced by the level of economic development and policy construction.3） About 5.75% of county or district are in the super depen- dence or super favoritism situation, about 20.68% of county or district are in the strong dependence or strong favoritism situation, and 62.7% county or district are in the common dependence or common favoritism situa- tion. Comparatively, about 8.05% of county or district are in the less dependent or weak favoritism, and 3.45% of county or district are in the weak dependent or weak favoritism situation. The dependence＇favoritism index in Hexi Corridor region is higher than the eastern and south mountainous area in Gansu. This study can afford a fundamental theory for the harmony development of Gansu road network, population and economy.