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Networks and Spatial Economics

, Volume 16, Issue 4, pp 997–1018 | Cite as

Population-driven Urban Road Evolution Dynamic Model

  • Fangxia Zhao
  • Jianjun Wu
  • Huijun Sun
  • Ziyou Gao
  • Ronghui Liu
Article

Abstract

In this paper, we propose a road evolution model by considering the interaction between population distribution and urban road network. In the model, new roads need to be constructed when new zones are built, and existing zones with higher population density have higher probability to connect with new roads. The relative neighborhood graph and a Fermat-Weber location problem are introduced as the connection mechanism to capture the characteristics of road evolution. The simulation experiment is conducted to demonstrate the effects of population on road evolution. Moreover, the topological attributes for the urban road network are evaluated using degree distribution, betweenness centrality, coverage, circuitness and treeness in the experiment. Simulation results show that the distribution of population in the city has a significant influence on the shape of road network, leading to a growing heterogeneous topology.

Keywords

Road evolution Population distribution Relative neighborhood Fermat-Webber location problem 

Notes

Acknowledgments

This work was partially supported by the National Basic Research Program of China (2012CB725400), NSFC (71271024, 71322102), and the Foundation of State Key Laboratory of Rail Traffic Control and Safety (RCS2015ZZ003).

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Fangxia Zhao
    • 1
  • Jianjun Wu
    • 1
  • Huijun Sun
    • 2
  • Ziyou Gao
    • 2
  • Ronghui Liu
    • 3
  1. 1.State Key Laboratory of Rail Traffic Control and SafetyBeijing Jiaotong UniversityBeijingChina
  2. 2.MOE Key Laboratory for Urban Transportation Complex Systems Theory and TechnologyBeijing Jiaotong UniversityBeijingChina
  3. 3.Institute for Transport StudiesUniversity of LeedsLeedsUK

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