Tsunami Evacuation Routes Using Network Analysis: A case study in Padang

Faisal Ashar, Dilanthi Amaratunga, Richard Haigh

Research output: Contribution to journalConference articlepeer-review

17 Citations (Scopus)

Abstract

The Village Pasir Nan Tigo located in the sub-district of Koto Tangah, Padang city. Geographically, the village located in the coastal area and some areas in this village are separated by a river. Topographically, this area is flat, and there are no hills that can be used as a natural shelter. The village located in the Tsunami Inundation Area, where the population in this district should be immediately evacuated to a safe area if there is a tsunami warning from the government or large tsunamigenic earthquakes. However, due to the river that divides some areas, the refugees have to follow the main road in the village along the coastline before turning onto the highway of Padang and move towards a safe zone. The advice from the government is, they must run away from the seashore and get into the safe areas as quickly as possible. In other words, instead of moving towards the east of the city of Padang, the refugees must run to the south of the city. In this context, this study aims at assessing the evacuation route in this area by using Network Analysis. With the objective of reducing the number of fatalities in this village, the shortest path algorithm is applied to analyse the direction of movement, and the travel time communities need to get to a safe area of the tsunami. The results of closest facility analysis and service area analysis show that the horizontal evacuation method for Pasir Nan Tigo populations is ineffective or inaccurate, with the main reason; that the distance is very far. Therefore, the need for a vertical evacuation plan such as building a shelter is highlighted in this paper.

Original languageEnglish
Pages (from-to)109-116
Number of pages8
JournalProcedia Engineering
Volume212
Early online date22 Feb 2018
DOIs
Publication statusPublished - 22 Feb 2018
Event7th International Conference on Building Resilience: Using Scientific Knowledge to Inform Policy and Practice in Disaster Risk Reduction - Swissotel Le Concorde, Bangkok, Thailand
Duration: 27 Nov 201729 Nov 2017
Conference number: 7
http://www.buildresilience.org/2017 (Link to Conference Website)

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