• Login
  • Register
  • Search

Element Connection Characteristics of Urban Road Network Based on Improvement Degree

Junyi Han

Abstract


The definition of degree in complex network is extended based on the lane attributes (number, width and direction) of urban road network. The connection characteristics of intersections and road elements in urban road network under primitive and dual methods are studied respectively. Considering the cognitive characteristics of actual road network and residents’ travel, intersections are defined as nodes, based on named road method. With Stroke-like analysis, road elements are defined from the perspective of residents’ cognition, and the concept of primitive degree is improved by combining the number of motor lanes. Under the new definition of road network elements, the average nearest neighbor degree method based on improved measure is used to analyze the connection characteristics between intersections and roads, and considering the shortcomings of existing methods, the paper puts forward a new concept of primitive degree. The concept of connection coefficient is better defined, and the analysis method is validated by taking the main urban area of Xiamen as an example, and the characteristics of road network connection in the main urban area are analyzed. The results show that the urban intersection element network and road element network are scale-free networks with power exponents of 1.69 and 2.70, respectively. The connection of road network elements takes a critical node as a segment characteristic, and the value of the adjacent points of connection coefficient based on improvement degree is 3.40 and 8, respectively. From this point of view, the urban road network is not a simple homogeneous or heterogeneous network; the proposed method for analyzing the connectivity characteristics of road network elements is used to understand the topological characteristics of urban road network and the evolution model of road network. The construction is of great significance. 


Full Text:

PDF


DOI: http://dx.doi.org/10.18686/mt.v5i1.1372

Refbacks