Evacuation Suitability Assessment of Shelters in Disaster Risk Districts of Changwon City

Son, Se Ryeon; Yoo, Hwan Hee

doi:10.7319/kogsis.2013.21.3.027

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…In foreign countries, many studies to evaluate the possibility to use of installed facilities for reducing climate change effect have been conducted based on service areas [13][14][15]. Multiple studies to evaluate the possibility to use of service facilities based on service areas have also been performed in the country [16][17][18][19][20], but the target facilities are mainly welfare facilities, health facilities, evacuation facilities, disaster prevention facilities, educational facilities and leisure facilities. Therefore, the evaluation of equity of climate change adaptation facilities has not been conducted properly.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the evaluation of equity of climate change adaptation facilities has not been conducted properly. Also, many analyses on the location equity of relevant facilities were mainly based on service zones and traveling time [16][17][18][19], so there is a lack of study considering the number of persons that can be accommodated by service facility.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing spatial equality of cooling service shelters, Central district of Seoul metropolitan city, South Korea

Ahn

Chae

2018

Spat. Inf. Res.

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Frequency and intensity of extreme weather events are getting increasing. Especially heat waves occur accumulatively and the mortality rates have rapidly increased in recent years. Therefore, the government established climate change adaptation plans (CCAPs) to strengthen adaptability. However, there are various barriers that hamper implementing CCAPs and are a lack of study about reducing the barriers. Therefore, this study researched about cooling centers which is one of facilities that improving adaptability in Jung-gu, Seoul. This study evaluated the suitability of cooling centers with the adequacy of cooling centers' location and the capacity of cooling centers by comparing with the elderly population in service area. First of all, field survey was conducted. Service area and accessibility of elderly were deduced from the survey. Secondly, network analysis was done to analyze geographic suitability of cooling centers. Lastly, capacity suitability was investigated by using population in service area and compared with the capacities of each cooling centers. As a result, the service area is average 15 min and 20% of elderly people are living in unsuitable area for using cooling centers in Jung-gu area. Exact guideline should be suggested and more cooling center should be established to improve use of cooling center and increase adaptability.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analyzing spatial equality of cooling service shelters, Central district of Seoul metropolitan city, South Korea

Ahn

Chae

2018

Spat. Inf. Res.

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“…Park et al (2011) , Park and Kim (2012) Kang (2015) . , (Yoo and Son, 2012;Son and Yoo, 2013). Choi and Joo (2014) .…”

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confidence: 99%

A Spatial Analysis of Shelter Capacity Using Floating Population

Kim

Kang²,

Kim

et al. 2016

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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Seoul, a mega city, contains many features of the modern city. When the disaster or emergency occurs in Seoul, the place for shelter is required for evacuation urgently. There are currently the numbers of shelters in Seoul City, which can hold the twice more capacity of population of Seoul. However, the population distribution fluctuation in the day and the night needs to be considered. Therefore, in order to analyze the actual capacity of shelter, it is necessary to consider the dynamic characteristics of population distribution in the metropolitan area. In the study, the substantial accessibility and the capacity of shelters in Seoul were analyzed by the floating population data of the metropolitan area. The accessibility of shelter was investigated through a network analysis that includes the pedestrian road data, while the capacity of shelter was analyzed by the local differences of daytime population distributions. Finally it was possible to identify the vulnerable areas on the basis of the distribution of shelter in the region. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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