Top > JDR > Function of Emergency Road Networks During the Post-Earthqua ...

single-dr.php

JDR Vol.7 No.2 pp. 173-183
(2012)
doi: 10.20965/jdr.2012.p0173

Paper:

Views over last 60 days: 424

Function of Emergency Road Networks During the Post-Earthquake Process of Lifeline Systems Restoration

Gaku Shoji* and Ayumi Toyota**

*Division of Engineering Mechanics and Energy, Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

**Civil Engineering Research Laboratory, Central Research Institute of Electric Power Industry (Formerly, Graduate School of Systems and Information Engineering, University of Tsukuba), 1646 Abiko, Abiko, Chiba 270-1194, Japan

Received:
September 3, 2011
Accepted:
November 21, 2011
Published:
February 1, 2012
Creative Commons License
Keywords:
seismic disaster, lifeline systems, restoration process, local assistance, emergency road networks
Abstract
This paper aims to present a framework for evaluating the functionality of emergency road networks after an earthquake from the perspective of local assistance during the process of restoring lifeline systems, such as electric power supply systems, gas supply systems and telecommunication networks. For the analysis, an earthquake of M7.3 in the Tokyo metropolitan area is anticipated, and the following types of local assistance between the related bases and the lifeline systems in the Kanto area are assumed. We employ four indices to quantify the physical and functional states of emergency road networks to be used during the post-earthquake restoration process: distance exposed by seismic intensity spatial distribution and distance exposed by PL value spatial distribution, the indices of which denote the physical state of the road networks as a result of ground motions and liquefaction, distance weighted by traffic congestion level, and distance weighted by averaged traveling time during the congestion, the indices of which denote the functional state of the road networks before being subjected to the above-mentioned seismic disturbances. By using the indices to evaluate the function of the networks from the point of view of efficiency in terms of gathering human resources and restoration materials, we can determine the most effective emergency road networks and related bases to provide local assistance to lifeline systems.
Cite this article as:
G. Shoji and A. Toyota, “Function of Emergency Road Networks During the Post-Earthquake Process of Lifeline Systems Restoration,” J. Disaster Res., Vol.7 No.2, pp. 173-183, 2012.
Data files:
References
  1. [1] S. Noda, “Optimum Post-Earthquake Restoration of a Telephone System Using Neural Networks,” Journal of Natural Disaster Science, Vol.15, No.1, pp. 91-111, 1993.
  2. [2] S. Sagai and Y. Shumuta, “Development of an Emergency Restoration Process Simulator of Electric Power Distribution Equipments after a Disaster (No.1) – Design of a Simulator and Development of a Prototype –,” CRIEPI Report, R07004, 2008.
  3. [3] N. Okada, Y. Kajitani, H. Sakakibara, and Y. Tatano, “Modeling of Performance Criteria for Measuring Disparity/Concentration of Metropolitan Highway Networks under a Near-field Earthquake Risk,” Journal of Infrastructure Planning and Management, JSCE, No.632, IV-45, pp. 93-104, 1999.
  4. [4] E. Kawakami, “Evaluation of Earthquake Performance of Transportation Systems,” Proceedings of JSCE, No.327, pp. 1-11, 1982.
  5. [5] Y. Asakura, M. Kashiwatani, and K. Fujiwara, “Functional Hierarchy of a Road Network and its Relations to Time Reliability,” Journal of Infrastructure Planning and Management, JSCE, No.583, IV-38, pp. 51-60, 1998.
  6. [6] N. Nojima and T. Yamanaka, “Performance-based Prioritization in Upgrading Seismic Reliability of Road Network,” Proceedings of the 10th Japan Earthquake Engineering Symposium, pp. 3205-3210, 1998.
  7. [7] N. Nojima, M. Kuse, S. Sugito, and Y. Suzuki, “Population Exposure to Seismic Intensity for Assessment of Seismic Disaster Potential,” Journal of Japan Society for Natural Disaster Science, Vol.23, No.3, pp. 363-380, 2004.
  8. [8] S. Suzuki and H. Hayashi, “A Study on the Disaster Exposures to Tokyo Metropolitan Earthquake and the Areal Characterization Based on Them,” Journal of Institute of Social Safety Science, No.10, pp. 97-104, 2008.
  9. [9] Central Disaster Prevention Council, “Report of Special Investigation Committee,” 2005,
    http://www.bousai.go.jp/jishin/chubou/shutochokka/houkoku.pdf
    [accessed at Jan. 15, 2011]
  10. [10] Disaster Prevention Conference of Tokyo Metropolitan Government, “Publication of Tokyo Regional Disaster Prevention Measures,” 2007.
  11. [11] Tokyo Electric Power Company, Inc., “Operational Plans for Disaster Prevention,” 2006,
    http://www.tepco.co.jp/cc/pressroom/bousai.pdf
    [accessed at Jan. 15, 2011]
  12. [12] Tokyo Gas Company, Ltd., “Operational Plans for Disaster Prevention,” 2009,
    http://www.tokyo-gas.co.jp/safety/bousai.pdf
    [accessed at Jan. 15, 2011]
  13. [13] Nippon Telegraph and Telephone Corporation Group, “Operational Plans for Disaster Prevention,” 2008,
    http://www.ntt-east.co.jp/saigai/taisaku/bousai.pdf
    [accessed at Jan. 15, 2011]
  14. [14] A. Toyota and G. Shoji, “Scenario of the Restoration Process associated with Critical Infrastructure and its Interdependency due to a Seismic Disaster : A Case Study for the anticipated North Tokyo Bay Earthquake,” Journal of Institute of Social Safety Science, No.10, pp. 55-65, 2008.
  15. [15] Metropolitan Police Department, “Traffic Control in a Seismic Disaster,”
    http://www.keishicho.metro.tokyo.jp/kotu/kamae/sinsai2.htm
    [accessed at Jan. 15, 2011]
  16. [16] Kanagawa Prefectural Government, “Publication of Kanagawa Regional Disaster Prevention Measures,” 2005.
  17. [17] Kanagawa Prefectural Government, “Publication of Kanagawa Regional Disaster Prevention Measures (manual and materials),” 2009.
  18. [18] Kanagawa Prefectural Police, “Emergency Road Networks,” http://www.police.pref.kanagawa.jp/mes/mesf3046.htm
    [accessed at Jan. 15, 2011]
  19. [19] Saitama Prefectural Government, “Emergency Road Networks,” 2007, http://www.pref.saitama.lg.jp/uploaded/attachment/398986.pdf
    [accessed at Jan. 15, 2011]
  20. [20] Chiba Prefectural Government, “Publication of Chiba Regional Disaster Prevention Measures,” 2007.
  21. [21] Yamanashi Prefectural Government, “Publication of Yamanashi Regional Disaster Prevention Measures,” 2008.
  22. [22] Gunma Prefectural Government, “Publication of Gunma Regional Disaster Prevention Measures,” 2009.
  23. [23] Gunma Prefectural Government, “Publication of Gunma Regional Disaster Prevention Measures (materials),” 2007.
  24. [24] Tochigi Prefectural Government, “Publication of Tochigi Regional Disaster Prevention Measures,” 2005.
  25. [25] Ibaraki Prefectural Government, “Publication of Ibaraki Regional Disaster Prevention Measures,” 2009.
  26. [26] Ibaraki Prefectural Government, “Publication of Ibaraki Regional Disaster Prevention Measures (materials),” 2009.
  27. [27] Shizuoka Prefectural Government, “Publication of Shizuoka Regional Disaster Prevention Measures,” 2009.
  28. [28] Ministry of Land, Infrastructure, Transport and Tourism, ChubuRegional Development Bureau., “Emergency Road Networks,”
    http://www.cbr.mlit.go.jp/kikaku/daikibo saigai/pdf/01.pdf
    [accessed at Jan. 15, 2011]
  29. [29] Shizuoka Prefectural Government, “Road Traffic Census 2005,”
    http://www.pref.shizuoka.jp/kensetsu/ke-210/sen.html
    [accessed at Jan. 15, 2011]
  30. [30] Ministry of Land, Infrastructure, Transport and Tourism, National-Land Information Office, “National Land Numerical Information Download Service,”
    http://nlftp.mlit.go.jp/ksj/
    [accessed at Jan. 15, 2011]
  31. [31] Ministry of Land, Infrastructure, Transport and Tourism, Kanto Regional Development Bureau., “Road Traffic Census 2005,”
    http://www.ktr.mlit.go.jp/kyoku/road/ir/census h17/index.htm
    [accessed at Jan. 15, 2011]
  32. [32] Japan Road Association, “Traffic Capacity on Road Networks,” 1984.

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

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

Last updated on Dec. 02, 2024