Core Non-motorized Road Identification and Network Classification Based on Topological Intensity

Lan WU , Qi-yuan YANG , Qian CHEN , Wen-xuan LU , Xiao-yi ZHANG

Science Technology and Engineering ›› 2024, Vol. 24 ›› Issue (34) : 14854 -14862.

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Science Technology and Engineering ›› 2024, Vol. 24 ›› Issue (34) : 14854-14862 DOI: 10.12404/j.issn.1671-1815.2401504
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Core Non-motorized Road Identification and Network Classification Based on Topological Intensity
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Abstract

The core non-motorized road is responsible for the largest pedestrian and non-motorized traffic in the non-motorized road network. It forms the skeleton of the non-motorized road network with its various functions such as connecting public transportation and service surroundings. While carrying out network classification, reasonably and accurately identifying the core non-motorized road and strengthening its construction can help further improve the attractiveness of non-motorized travel, which is of great significance to non-motorized travel and the construction of dynamic cities. Taking the non-motorized road network in the old town of Yangzhou as an example, based on constructing the non-motorized network in P-space, the core non-motorized road was identified by topological intensity, and the hierarchical division scheme of non-motorized road network obtained by fuzzy cluster analysis was compared. Experiments show that the experimental results of topological strength can further supplement and improve the core non-motorized road in the hierarchical division scheme of the two methods.

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non-motorized traffic / core non-motorized roads / network classification / topological intensity / P-space method

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Lan WU, Qi-yuan YANG, Qian CHEN, Wen-xuan LU, Xiao-yi ZHANG. Core Non-motorized Road Identification and Network Classification Based on Topological Intensity. Science Technology and Engineering, 2024, 24(34): 14854-14862 DOI:10.12404/j.issn.1671-1815.2401504

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