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Population-driven Urban Road Evolution Dynamic Model

Author

Listed:
  • Fangxia Zhao

    () (Beijing Jiaotong University)

  • Jianjun Wu

    () (Beijing Jiaotong University)

  • Huijun Sun

    (Beijing Jiaotong University)

  • Ziyou Gao

    (Beijing Jiaotong University)

  • Ronghui Liu

    (University of Leeds)

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.

Suggested Citation

  • Fangxia Zhao & Jianjun Wu & Huijun Sun & Ziyou Gao & Ronghui Liu, 2016. "Population-driven Urban Road Evolution Dynamic Model," Networks and Spatial Economics, Springer, vol. 16(4), pages 997-1018, December.
  • Handle: RePEc:kap:netspa:v:16:y:2016:i:4:d:10.1007_s11067-015-9308-4
    DOI: 10.1007/s11067-015-9308-4
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    References listed on IDEAS

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    Cited by:

    1. Liyin Shen & Lei Du & Xining Yang & Xiaoyun Du & Jinhuan Wang & Jianli Hao, 2018. "Sustainable Strategies for Transportation Development in Emerging Cities in China: A Simulation Approach," Sustainability, MDPI, Open Access Journal, vol. 10(3), pages 1-1, March.
    2. Rui Ding, 2019. "The Complex Network Theory-Based Urban Land-Use and Transport Interaction Studies," Complexity, Hindawi, vol. 2019, pages 1-14, June.
    3. Rui Ding & Norsidah Ujang & Hussain Bin Hamid & Mohd Shahrudin Abd Manan & Rong Li & Safwan Subhi Mousa Albadareen & Ashkan Nochian & Jianjun Wu, 2019. "Application of Complex Networks Theory in Urban Traffic Network Researches," Networks and Spatial Economics, Springer, vol. 19(4), pages 1281-1317, December.
    4. Y. G. Melese & P. W. Heijnen & R. M. Stikkelman & P. M. Herder, 2017. "An Approach for Integrating Valuable Flexibility During Conceptual Design of Networks," Networks and Spatial Economics, Springer, vol. 17(2), pages 317-341, June.
    5. Rui Ding & Jian Yin & Peng Dai & Lu Jiao & Rong Li & Tongfei Li & Jianjun Wu, 2019. "Optimal Topology of Multilayer Urban Traffic Networks," Complexity, Hindawi, vol. 2019, pages 1-19, October.
    6. Dali Wei & Changwei Yuan & Hongchao Liu & Dayong Wu & Wesley Kumfer, 2017. "The Impact of Service Refusal to the Supply–Demand Equilibrium in the Taxicab Market," Networks and Spatial Economics, Springer, vol. 17(1), pages 225-253, March.

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