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Quantitatively Measuring Transportation Network Resilience under Earthquake Uncertainty and Risks

Received: 14 June 2016     Published: 15 June 2016
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Abstract

Transportation network faces the possibility of sudden events that disrupts its normal operation, particularly in earthquake prone areas. As the backbone of critical infrastructure lifelines, it is therefore essential that transportation network retains its resilience after disastrous earthquakes to ensure efficient evacuation of at-risk population to safe zones and timely dispatch of emergency response resources to the impacted area. However, predicting transportation network resilience and planning for emergency situations is an extremely challenging problem, particularly under earthquake uncertainty and risks. This paper aims to propose a model to quantify seismic resilience of transportation network. The focus of this model is on generalizing quantitative resilience measures of transportation network response to earthquake risks rather than specifying characteristics of the corridor selections that lead to patterns of the response of each specific road segment. In the model, traffic capacity is selected as resilience measure and three capacity reduction indices are introduced to address the uncertainty and risks from impacted roads, buildings and bridges, respectively. Finally, the proposed models were validated by the 2008 Sichuan Earthquake data.

Published in American Journal of Civil Engineering (Volume 4, Issue 4)
DOI 10.11648/j.ajce.20160404.17
Page(s) 174-184
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Earthquake, Transportation Network, Resilience, Uncertainty, Risks

References
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  • APA Style

    Manzhen Duan, Dayong Wu, Bo Dong, Lin Zhang. (2016). Quantitatively Measuring Transportation Network Resilience under Earthquake Uncertainty and Risks. American Journal of Civil Engineering, 4(4), 174-184. https://doi.org/10.11648/j.ajce.20160404.17

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    ACS Style

    Manzhen Duan; Dayong Wu; Bo Dong; Lin Zhang. Quantitatively Measuring Transportation Network Resilience under Earthquake Uncertainty and Risks. Am. J. Civ. Eng. 2016, 4(4), 174-184. doi: 10.11648/j.ajce.20160404.17

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    AMA Style

    Manzhen Duan, Dayong Wu, Bo Dong, Lin Zhang. Quantitatively Measuring Transportation Network Resilience under Earthquake Uncertainty and Risks. Am J Civ Eng. 2016;4(4):174-184. doi: 10.11648/j.ajce.20160404.17

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  • @article{10.11648/j.ajce.20160404.17,
      author = {Manzhen Duan and Dayong Wu and Bo Dong and Lin Zhang},
      title = {Quantitatively Measuring Transportation Network Resilience under Earthquake Uncertainty and Risks},
      journal = {American Journal of Civil Engineering},
      volume = {4},
      number = {4},
      pages = {174-184},
      doi = {10.11648/j.ajce.20160404.17},
      url = {https://doi.org/10.11648/j.ajce.20160404.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20160404.17},
      abstract = {Transportation network faces the possibility of sudden events that disrupts its normal operation, particularly in earthquake prone areas. As the backbone of critical infrastructure lifelines, it is therefore essential that transportation network retains its resilience after disastrous earthquakes to ensure efficient evacuation of at-risk population to safe zones and timely dispatch of emergency response resources to the impacted area. However, predicting transportation network resilience and planning for emergency situations is an extremely challenging problem, particularly under earthquake uncertainty and risks. This paper aims to propose a model to quantify seismic resilience of transportation network. The focus of this model is on generalizing quantitative resilience measures of transportation network response to earthquake risks rather than specifying characteristics of the corridor selections that lead to patterns of the response of each specific road segment. In the model, traffic capacity is selected as resilience measure and three capacity reduction indices are introduced to address the uncertainty and risks from impacted roads, buildings and bridges, respectively. Finally, the proposed models were validated by the 2008 Sichuan Earthquake data.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Quantitatively Measuring Transportation Network Resilience under Earthquake Uncertainty and Risks
    AU  - Manzhen Duan
    AU  - Dayong Wu
    AU  - Bo Dong
    AU  - Lin Zhang
    Y1  - 2016/06/15
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ajce.20160404.17
    DO  - 10.11648/j.ajce.20160404.17
    T2  - American Journal of Civil Engineering
    JF  - American Journal of Civil Engineering
    JO  - American Journal of Civil Engineering
    SP  - 174
    EP  - 184
    PB  - Science Publishing Group
    SN  - 2330-8737
    UR  - https://doi.org/10.11648/j.ajce.20160404.17
    AB  - Transportation network faces the possibility of sudden events that disrupts its normal operation, particularly in earthquake prone areas. As the backbone of critical infrastructure lifelines, it is therefore essential that transportation network retains its resilience after disastrous earthquakes to ensure efficient evacuation of at-risk population to safe zones and timely dispatch of emergency response resources to the impacted area. However, predicting transportation network resilience and planning for emergency situations is an extremely challenging problem, particularly under earthquake uncertainty and risks. This paper aims to propose a model to quantify seismic resilience of transportation network. The focus of this model is on generalizing quantitative resilience measures of transportation network response to earthquake risks rather than specifying characteristics of the corridor selections that lead to patterns of the response of each specific road segment. In the model, traffic capacity is selected as resilience measure and three capacity reduction indices are introduced to address the uncertainty and risks from impacted roads, buildings and bridges, respectively. Finally, the proposed models were validated by the 2008 Sichuan Earthquake data.
    VL  - 4
    IS  - 4
    ER  - 

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Author Information
  • Department of Civil and Architectural Engineering, North China University of Science and Technology, Tangshan, China

  • Department of Civil, Environmental and Construction Engineering, Texas Tech University, Lubbock, Texas, U.S.A

  • Department of Civil and Architectural Engineering, North China University of Science and Technology, Tangshan, China

  • Department of Civil and Architectural Engineering, North China University of Science and Technology, Tangshan, China

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