一种改进的道路网信息层次度量方法

An improved hierarchical measure method for road network information content

针对现有道路网信息量层次度量方法大多侧重于度量道路网的几何特征和整体分布情况,而对其复杂网络特性方面的度量仍有局限性的问题,该文提出了一种基于复杂网络理论的道路网信息量层次度量方法。首先,通过综合考虑道路的几何特征和中心性特征,对其元素层次信息量进行度量;然后,利用集聚系数对邻域层次进行度量;最后,通过考虑路网的空间分布特性,利用网眼密度对整体层次进行度量。从元素、邻域以及整体3个层次出发,较好地顾及了道路网的局部和整体特征,使道路网信息的分层次度量更加合理有效。实验结果表明,本方法不仅能快速准确地挖掘出重要度高的道路,还能够较好地顾及路网的连通性和完整性。

The existing hierarchical measurement methods of road network information mostly focused on measuring the geometric features and the overall distribution of road network,and still had a deficiency on the measurement of its complex network characteristics.In view of the above problems,based on the theory of complex networks,this paper proposed an improved hierarchical measurement method for road network information quantity.First,considering the geometric and central features of the road,the amount of information in the element level was measured;then,the neighborhood level was measured by the clustering coefficient;finally,taking the spatial distribution characteristics of road network into account,we used mesh density to measure the global level.With the elements,neighborhood and the global level,the local and overall characteristics of the road network were preferably taken into consideration,and the hierarchical measurement of road network information was more reasonable and effective.The experimental results showed that the proposed method not only could quickly and accurately mine the road with high importance,but also could take into account the connectivity and integrity of the road network.