Correlation between Road Networks’ Structural Characteristics and the Distribution of Traffic Volume Based on ArcGIS

The structure of road network in a city will not only affect the spatial morphology of a city, but also have influence on the operating performance of all kinds of ground transportation and people’s travel behavior. Therefore it’s necessary to identify the methods and indicators to describe network structure, and analyses its impacts on the distribution of vehicle volume. The authors first used ArcGIS on road network’s topological analysis, then used dual approach to abstract the stroke graph into connectivity graph, which as a result figured out the indicators of road network structure. Multiple regression and simple regression were used to analyze how road network structure impact the distribution of vehicle volume. In the end the contrasted results of the two methods lead two most representative indicators of road network structure and the distribution of vehicle volume, which are Betweenness and vehicle kilometers traveled. So the conclusion is that Betweenness and vehicle kilometers traveled shows simple linear relationship, which means the more important of a stroke in road network is, the more vehicle kilometers there will be on the stroke.