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Urban road network evolution mechanism based on the ‘direction preferred connection’ and ‘degree constraint’

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  • Yuan, PengCheng
  • Juan, ZhiCai

Abstract

The urban road network is a complex system that exhibits the properties of self-organization and emergence. Recent theoretical and empirical studies have mainly focused on the structural properties of the urban road networks. This research concentrates on some important parameters such as degree, average degree, meshedness coefficient, betweeness, etc. These parameters of the real road network exhibit specific statistical properties. Some studies show that perhaps these specific statistical properties are caused by a compromise mechanism of the formation of a minimum spanning tree and the greedy triangulation. Inspired by these results, we propose a principle to construct the network (we call it a MG network in this paper) whose structure is located between the minimum spanning tree and the greedy triangulation at first. The structural properties of the MG network are analyzed. We find the formation mechanism of the MG network cannot explain the urban road network evolution well. Then, based on the formation mechanism of the MG network, we add the ‘direction preferred connection’ and ‘degree constraint’ principles to the urban road network evolution simulation process. The result of the simulation network turns out to be a planar network that is in accordance with reality. Compared with the real road network’s structural properties, we find the simulation results are so consistent with it. It indicates the validation of the model and also demonstrates perhaps the ‘direction preferred connection’ and ‘degree constraint’ principle can explain the urban road network evolution better.

Suggested Citation

  • Yuan, PengCheng & Juan, ZhiCai, 2013. "Urban road network evolution mechanism based on the ‘direction preferred connection’ and ‘degree constraint’," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5186-5193.
  • Handle: RePEc:eee:phsmap:v:392:y:2013:i:20:p:5186-5193
    DOI: 10.1016/j.physa.2013.06.022
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    Cited by:

    1. Lei Kang & Chao Yang & Jeffrey C Peters & Peng Zeng, 2016. "Empirical analysis of road networks evolution patterns in a government-oriented development area," Environment and Planning B, , vol. 43(4), pages 698-715, July.

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