JDR Vol.13 No.2 pp. 387-395
doi: 10.20965/jdr.2018.p0387


Using Agent Simulations to Evaluate the Effect of a Regional BCP on Disaster Response

Zijian Liu* and Takeyasu Suzuki**,***,†

*Graduate School of Engineering, Civil and Environmental Engineering Course, University of Yamanashi
4-3-11 Takeda, Kofu, Yamanashi 400-8511, Japan

**Graduate School of Interdisciplinary Research, University of Yamanashi, Yamanashi, Japan

***Disaster and Sustainable Administration Research Center, University of Yamanashi, Yamanashi, Japan

Corresponding author

October 23, 2017
January 29, 2018
Online released:
March 19, 2018
March 20, 2018
regional BCP, emergency relief logistics, quantitative evaluation, agent simulation

The 2016 Kumamoto earthquake caused severe damage to economic activities and livelihood of residents by disrupting the supply chains of common resources, such as food, water, roads, and other infrastructure. This disaster has made recovery difficult for businesses in the region. The importance of addressing BCP in regional areas was made clear by the 2004 Niigataken Chuetsu earthquake and the 2007 Niigataken Chuetsu-oki earthquake. The 2011 Greate East Japan earthquake revealed that individual business continuity efforts were interrupted by disruption of common infrastructure. Therefore, a new concept of a region-wide business continuity plans (BCP) that focuses on collaboration among stakeholders, including private corporations, local government, and communities, was urgently required to enhance the resilience of the region against disasters. A new concept of Area BCP was proposed by JICA and Prefectural-scale District BCP was formulated by prefectural governments of Kyoto and Kagawa.

In order to evaluate the effect of the presence of a regional BCP on disaster response, this study focuses on one of the most important elements of a regional BCP: the disaster relief chain information-sharing factor. Based on the supply of relief goods from the distribution center in Tosu City, Saga Prefecture to the evacuation centers in Kumamoto Prefecture during the Kumamoto earthquake, the evaluation was conducted by quantitative analysis using agent simulations of relief logistics.

Cite this article as:
Z. Liu and T. Suzuki, “Using Agent Simulations to Evaluate the Effect of a Regional BCP on Disaster Response,” J. Disaster Res., Vol.13, No.2, pp. 387-395, 2018.
Data files:
  1. [1] Cabinet Office, Government of Japan, “Business Continuity Guidelines Strategies and Responses for Surviving Critical Incidents – Third Edition,” Provisional Translation, 2013.
  2. [2] L. Minear, “The Humanitarian Enterprise: Dilemmas and Discoveries,” Kumarian Press, Bloomfield, CT, 2002.
  3. [3] S. Moore, E. Eng, and M. Daniel, “Int. NGOs and the role of network centrality in humanitarian aid operations: a case study of coordination during the 2000 Mozambique floods,” Disasters ,Vol.27, No.4, pp. 305-318, 2003.
  4. [4] H. Baba et al., “Introductory study on Disaster Risk Assessment and Area Business Continuity Planning in Industry agglomerated areas in the ASEAN,” J. of Integrated Disaster Risk Management (IRRiM), Vo.3, No.2, pp. 184-193, 2013.
  5. [5] H. Baba, T. Watanabe, K. Miyata, and H. Matsumoto, “Area Business Continuity Management, A New Approach to Sustainable Local Economy,” J. of Disaster Research, Vol.10, No.2, pp. 204-209, 2015.
  6. [6] T. Ono and K. Watanabe, “Area Business Continuity Management Approach to Build Sustainable Communities,” J. of Disaster Research, Vol.12, No.4, pp. 806-810, 2017.
  7. [7] S. Yamamoto, “Countermeasures against disaster relief supplies of the Kumamoto earthquake and future issues,” Transport Policy Study, Vol.19, No.3, pp. 23-27, 2016 (in Japanese).
  8. [8] S. Udagawa, “Proposal on supply system of relief goods, considering the characteristics of diverse logistics facilities and private enterprises,” Procs. of the Society of Social Safety Science, No.30, 2017 (in Japanese).
  9. [9] T. Suzuki, “Disaster response management system – Development and diffusion of information systems used for real disaster response,” Digital Prectice, Information Processing Society of Japan, Vol.3, No.3, pp. 192-200, 2012.
  10. [10] T. Suzuki, T. Miyamoto, and Y. Hada. “Application of the BECAUSE Model to Establishment of a Collaboration System with Relevant administrative Agencies for Regional Evacuation due to Large River Flooding,” Procs. of Disaster Information Studies, No.14, pp. 105-115, 2016.
  11. [11] AnyLogic North America, “Library Reference Guides, Process Modeling Library Objects in terms of Agents,” AnyLogic 8 Personal Learning Edition, 2017.
  12. [12] K. Watanabe “Business Continuity Management (BCM) for Regional Financial Functionalities in Wide-Area Disasters – Imprtance and Challenges in Cooporation Among Regional Financial Institutions and PPP (Public-Private Partnership),” J. of Disaster Research, Vol.10, No.sp., pp. 777-782, 2015.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, IE9,10,11, Opera.

Last updated on Aug. 20, 2018