Quantitatively Measuring Transportation Network Resilience under Earthquake Uncertainty and Risks

Manzhen Duan; Dayong Wu; Bo Dong; Lin Zhang

doi:doi:10.11648/j.ajce.20160404.17

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Quantitatively Measuring Transportation Network Resilience under Earthquake Uncertainty and Risks

Manzhen Duan, Dayong Wu, Bo Dong, Lin Zhang

Published in American Journal of Civil Engineering (Volume 4, Issue 4)

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

Manzhen Duan

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

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

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

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

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Plain Text BibTeX RIS

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download