Determining Evacuation Service Areas and Evacuation Route Risk Level as Disaster Mitigation Plan using GIS – based Software in Hyuga, Japan
Abstract: In recent
years, studies on
tsunami mitigation and the
tsunami emergency management
have been frequently conducted.
Further, many of tsunami mitigation methods have been introduced to minimize
assets damages, injuries or fatalities. In case of Tsunami, the main point is
to evacuate victims from inundated areas to the evacuation
places or secure
areas as soon
as possible. However
during tsunami attack,
refuges are often rushing
to their shelters
without considering safety
of evacuation routes,
thus inappropriate decision
of evacuation route may
lead to the
injuries or fatalities.
Therefore the aim of this
study is to
provide spatial information on
evacuation route with its risk level by using geographic information system
(GIS). Through GIS,
evacuation service areas,
recommended evacuation routes,
and road risk
level can be determined. In
this study, evacuation
service area refer to
zones surrounding selected
evacuation places that achievable by
walking people with
average speed in
short amount of
time. While the
road risk level
gives information on the safety condition in each routes, which is
scaled 1-10 (1 refers to the safest route). Hyuga city in Miyazaki
province in Japan
is taken into
study area. Moreover, this
area will be
divided into 5
subzones in order to carry out
more accurate investigation. Network analysis in Arc GIS 9.2 was used to
generate service areas based on tsunami’s travel time and human’s walking
speed. Subsequently, inside the evacuation
service areas, risk
level were calculated
by analyzing soil conditions, road width, slope elevation and inundated
areas. The output indicated that risk level in
Hyuga city are
between 2-8, and
blocking some roads
due to the
dangerous areas effected
on evacuation service area
deduction.
Keywords: Evacuation Service
Areas, Road Risk Level, Geographic Information System, Evacuation Routes
Author: Indradi WIJATMIKO,
Keisuke MURAKAMI
Journal Code: jptsipilgg140003
