single-dr.php

JDR Vol.12 No.4 pp. 722-732
(2017)
doi: 10.20965/jdr.2017.p0722

Paper:

A Proposed Restoration Strategy for Road Networks After an Earthquake Disaster Using Resilience Engineering

Wataru Shiraki*,†, Kyosuke Takahashi**, Hitoshi Inomo**, and Chikako Isouchi*

*Institute of Education, Research and Regional Cooperation for Crisis Management Shikoku (IECMS), Kagawa University
1-1 Saiwai-cho, Takamatsu, Kagawa 760-8521, Japan

Corresponding author

**Faculty of Engineering, Kagawa University, Kagawa, Japan

Received:
March 4, 2017
Accepted:
June 14, 2017
Online released:
July 28, 2017
Published:
August 1, 2017
Keywords:
resilience engineering, disaster resilience, district continuity plan, district Impact analysis, road restoration
Abstract

Resilience is the capability to promptly recover from damage caused by a disturbance. In recent years, “resilience engineering” has been drawing attention as a new concept in the disaster prevention and crisis management field. Resilience engineering is a method for improving resilience through actions and responses on a case-by-case basis. It is based around social and technological systems, and includes both individuals and organizations. When a system encounters an unprecedented situation, this method involves avoiding the worst-case scenario based on “responding ability,” “monitoring ability,” “anticipating ability,” and “learning ability.” This paper introduces an application case for early recovery planning related to road networks damaged by an earthquake using the resilience engineering method. It also discusses the utility of the resilience engineering method and its future deployment for increasing disaster resilience.

Cite this article as:
W. Shiraki, K. Takahashi, H. Inomo, and C. Isouchi, “A Proposed Restoration Strategy for Road Networks After an Earthquake Disaster Using Resilience Engineering,” J. Disaster Res., Vol.12 No.4, pp. 722-732, 2017.
Data files:
References
  1. [1] E. Hollnagel, D. D.Woods, and N. Leveson, “Resilience engineering concept and precepts,” Aldershot, UK: Ashgate, 2006.
  2. [2] E. Hollnagel, J. Paries, D. D.Woods, and J. Wreathall, “Resilience engineering perspectives volume 3: resilience engineering in practice,” Farnham, UK: Ashgate, 2011.
  3. [3] M. Bruneau, S. Chang, R. Eguchi, G. Lee, T. O’Rourke, A. Reinhorn, M. Shinozuka, K. Tierney, W. Wallace, and D. von Winterfel, “A framework to quantitatively assess and enhance the seismic resilience of communities,” EERI Spectra J., Vol.19, No.4, pp. 733-752, 2003.
  4. [4] C. Isouchi, K. Mano, W. Shiraki, H. Inomo, and K. Takahashi, “A proposal for district continuity intensification by drawing up and supporting a business continuity plan (BCP) for construction companies: a new way of district development,” J. of JSCE, Vol.1, No.1, pp. 353-359, 2013.
  5. [5] D. E. Goldberg, “Genetic algorithms in search, optimization, and machine learning,” Addison-Wesley, 1989.
  6. [6] H. Sugimoto, A. Katagiri, T. Tamura, and L. Bianli, “On support system for restoration process of disaster-stricken lifeline network by GA,” J. of Structural Engineering. A, Vol.43A, pp. 517-524, 1997 (in Japanese).
  7. [7] H. Furuta, K. Ishibashi, K. Nakatsu, and S. Hotta, “Optimal restoration scheduling of damaged networks under uncertain environment by using improved genetic algorithm,” Tsinghua Sci Technol, Vol.13, No.S1, pp. 401-405, 2008.
  8. [8] T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein, “Introduction to Algorithms,” The MIT Press, 2009.
  9. [9] Countermeasures against Shikoku Nankai trough earthquake s trategy meeting, “Guidline elimination of road obstacle for local area (Proposed),” 2015 (in Japanese), https://www.skr.mlit.go.jp/bosai/bosai/chiikikeikai/pdf/guideline_draft_v2.pdf [accessed June 2, 2017]

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Oct. 01, 2024