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Journal of Shanghai Jiaotong University (Science)

, Volume 15, Issue 6, pp 736–742 | Cite as

Measuring the structural vulnerability of road network: A network efficiency perspective

  • Hong-ying Yin (尹洪英)Email author
  • Li-qun Xu (徐丽群)
Article

Abstract

The purpose of this paper is to identify the critical road sections and intersections in a road network which have great influence on the normal transport functions of the road network and to optimize the road network structure by reducing its vulnerability. In this paper, the framework of road network structural vulnerability measurement and improvement model is proposed. The network efficiency model is used to define road network structural vulnerability. Shanghai freeway network is analyzed based on this model. We find that using this model the critical components of the road network can be identified. Two methods which are increasing connections and rewiring are proposed to optimize the road network structural vulnerability and the results can be used to reduce the network vulnerability. The measurement method that we put forward for structure vulnerability is useful and important to optimize road network structure.

Key words

road network structure vulnerability network efficiency network optimization 

CLC number

U 491.1 

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References

  1. [1]
    Finn G. Reducing the vulnerability of dynamic computer networks [R]. Los Angeles, CA: ISI, University of Southern California, 1988.Google Scholar
  2. [2]
    Holmgren A. Using graph models to analyze the vulnerability of electric power networks [J]. Risk Analysis, 2006, 26(4): 955–969.CrossRefGoogle Scholar
  3. [3]
    Einarssonl S, Rausand M. An approach to vulnerability analysis of complex industrial systems [J]. Risk Analysis, 1998, 18(5): 535–546.CrossRefGoogle Scholar
  4. [4]
    Chen A, Yang C, Kongsomsaksakul S, et al. Network-based accessibility measures for vulnerability analysis of degradable transportation networks [J]. Networks and Spatial Economics, 2007, 7(3): 241–256.zbMATHCrossRefGoogle Scholar
  5. [5]
    Srinivasan K. Transportation network vulnerability assessment: A quantitative framework [Z]. Knoxville: Southeastern Transportation Center, University of Tennessee, 2002.Google Scholar
  6. [6]
    Jenelius E, Petersen T, Mattsson L. Importance and exposure in road network vulnerability analysis [J]. Transportation Research. Part A, 2006, 40(7): 537–560.Google Scholar
  7. [7]
    Scott D M, Novak D C, Aultman-hall L, et al. Network robustness index: A new method for identifying critical links and evaluating the performance of transportation networks [J]. Journal of Transport Geography, 2006, 14(3): 215–227.CrossRefGoogle Scholar
  8. [8]
    Quium A S M A, Hoque S A M A. The completeness and vulnerability of road network in Bangladesh [C]//Engineering Concerns of Flood. Dhaka, Bangladesh: Directorate of Advisory, Extension and Research Services, 2002: 59–75.Google Scholar
  9. [9]
    Latora V, Marchiori M. Economic small-world behavior in weighted networks [J]. European Physical Journal B, 2003, 32(2): 249–263.CrossRefGoogle Scholar
  10. [10]
    Berdica K. An introduction to road vulnerability: What has been done, is done and should be done [J]. Transport Policy, 2002, 9(2): 117–127.CrossRefGoogle Scholar
  11. [11]
    Husdal J. Reliability and vulnerability versus cost and benefits[C]//Proceedings of the Second International Symposium on Transportation Network Reliability (INSTR). Christchurch, New Zealand:[s.n.], 2004: 180–186.Google Scholar
  12. [12]
    Taylor M A P, Sekhar S V C, D’este G M. Application of accessibility based methods for vulnerability analysis of strategic road networks [J]. Networks and Spatial Economics, 2006, 6(3–4): 267–291.zbMATHCrossRefMathSciNetGoogle Scholar
  13. [13]
    Jenelius E. Network structure and travel patterns: Explaining the geographical disparities of road network vulnerability [J]. Journal of Transport Geography, 2009, 17(3): 234–244.CrossRefGoogle Scholar
  14. [14]
    Latora V, Marchiori M. How the science of complex networks can help developing strategies against terrorism [J]. Chaos, Solitons and Fractals, 2004, 20(1): 69–75.zbMATHCrossRefMathSciNetGoogle Scholar
  15. [15]
    Watts D J, Strogatz S H. Collective dynamics of “small-world” networks [J]. Nature, 1998, 4: 393, 440–442.Google Scholar

Copyright information

© Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hong-ying Yin (尹洪英)
    • 1
    Email author
  • Li-qun Xu (徐丽群)
    • 1
  1. 1.Antai College of Economics & ManagementShanghai Jiaotong UniversityShanghaiChina

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