Application of Spatial and Network Analysis to Evaluate Shelter Plan for Tsunami Evacuation

Sigit Sutikno, Keisuke Murakami




Abstract


This study proposes a method for evaluating shelter plan for emergency evacuation prior to a tsunami based on service area analysis. The evacuation service areas are generated using both spatial and network analysis based on Geographic Information System (GIS). A case study in Pacitan city, East Java Province, Indonesia which is located in the South coastal area of Java Island, is picked as study area. The field has a possibility of suffering tsunami disaster because of the movement of Indo-Australian plate and Eurasian plate. The simulation result shows that the current evacuation shelters arranged by local government are not easy to access if tsunami occurs. About 50% of the residents do not have enough time to evacuate to the shelters because many shelters are located far from residential area. Utilizing public buildings around residential area for temporary shelters proposed in this study, about 96% residents in inundation area have sufficient time to evacuate to the shelters.


Keywords


GIS; spatial and network analysis; tsunami evacuation

References


  1. Bappeda_Pacitan, Development Planning of The Settlement Area in Pacitan City, Pacitan, 2002.
  2. Tsuji, Y., Imamura, F., Matsutomi, H., Synolakis, C., Nanang, P., Jumadi, Harada, S., Han, S., Arai, K., and Cook, B., Field Survey of The East Java Earthquake and Tsunami of June 3, 1994, Pure Appl. Geophys. 144(3–4), 1995, pp. 839–854.[CrossRef]
  3. Mardiatno, D., Tsunami Assessment using Scenario-based Approach, Geomorphological Analysis and Geographic Information System, A Case Study in South Coastal Areas of Java Island-Indonesia, University of Innsbruck, Austria, 2008.
  4. Imamura, F., Yalciner, A. C., and Ozyurt, G., Tsunami Modelling Manual (TUNAMI model), Disaster Control Research Center, Tohoku Uni-versity, Sendai, Japan, 2006. [Online]. Available: http://www.tsunami.civil.tohoku.ac.jp/hokusai3/J/projects/manual-ver-3.1.pdf. [Accessed: 21-Aug-2015].
  5. Lumantarna, B., Learning from Local Wisdom: Friction Damper in Traditional Building, Civ. Eng. Dimens., 14(3), 2012, pp. 190–195.
  6. Sutikno, S., Murakami, K., and Suharyanto, A., Evacuation Risk Analysis against Tsunami Hazard Based on Spatial and Network Analysis on GIS, Proceedings of the Twentieth (2010) International Offshore and Polar Engineering Conference, 2010, 7, pp. 599–604.
  7. Mandloi, D., Sandhu, J., and Chandrasekhar, T., ArcGIS Network Analyst Tutorial. New York Street, Redlands: ESRI, 2008.
  8. Potangaroa, R., Tsunami Disaster Risk Reduction-Practical Guidelines for the Indonesian Context, International Conference on Building Edu¬ca¬tion and Research (BEAR) “Building Resilience,” , 2008, pp. 606–617.
  9. Xu, W., Okada, N., Hatayama, M., and Takeuchi, Y., A Model Analysis Approach for Reassessment of the Public Shelter Plan Focusing both on Accessibility and Accommodation Capacity for Residents - Case Study of Nagata Ward in Kobe City, Japan, J. Nat. Disaster Sci., 28(2), 2008, pp. 85–90. [CrossRef]


Full Text: PDF

Instructions for Preparing Papers for CED.docx
The Journal is published by The Institute of Research & Community Outreach - Petra Christian University.

©All right reserved 2016.Civil Engineering Dimension, ISSN: 1410-9530, e-ISSN: 1979-570X

 

View My Stats


Copyright © Research Center Web-Dev Team