Vulnerability Analysis on Fire Service Zone using Map Overlay Method in GIS

Bae

et al. 2014

Environ Health Toxicol

ObjectivesNumerous studies have revealed the adverse health effects of acute and chronic exposure to particulate matter less than 10 μm in aerodynamic diameter (PM10). The aim of the present study was to examine the spatial distribution of PM10 concentrations and cardiovascular mortality and to investigate the spatial correlation between PM10 and cardiovascular mortality using spatial scan statistic (SaTScan) and a regression model.MethodsFrom 2008 to 2010, the spatial distribution of PM10 in the Seoul metropolitan area was examined via kriging. In addition, a group of cardiovascular mortality cases was analyzed using SaTScan-based cluster exploration. Geographically weighted regression (GWR) was applied to investigate the correlation between PM10 concentrations and cardiovascular mortality.ResultsAn examination of the regional distribution of the cardiovascular mortality was higher in provincial districts (gu) belonging to Incheon and the northern part of Gyeonggido than in other regions. In a comparison of PM10 concentrations and mortality cluster (MC) regions, all those belonging to MC 1 and MC 2 were found to belong to particulate matter (PM) 1 and PM 2 with high concentrations of air pollutants. In addition, the GWR showed that PM10 has a statistically significant relation to cardiovascular mortality.ConclusionsTo investigate the relation between air pollution and health impact, spatial analyses can be utilized based on kriging, cluster exploration, and GWR for a more systematic and quantitative analysis. It has been proven that cardiovascular mortality is spatially related to the concentration of PM10.

Section: Methodsmentioning

confidence: 99%

Spatial analysis of PM<sub>10</sub> and cardiovascular mortality in the Seoul metropolitan area

Bae

et al. 2014

Environ Health Toxicol

“…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%

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

Ahn

Chae

2018

Spat. Inf. Res.

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.

Journal of the Korean Society of Surveying, Geodesy, Photogramm

“…In other words, high or low values of an attribute tend to cluster within the positive spatial autocorrelation, unlikely to be surrounded by neighbours with different values in negative spatial autocorrelation (Chi and Zhu, 2008). When the spatial autocorrelation occurs at the dependent variable, the ordinary least squares (OLS) regression causes violations of a basic assumption in error terms: normality, homoscedasticity and no spatial autocorrelation (Lee and Sim, 2011). In this case, a spatial regression model that is able to consider spatial autocorrelation should replace the OLS regression model (Jin et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Selection of Spatial Regression Model Using Point Pattern Analysis

Shin¹,

Lee²,

Lee³

2014

When a spatial regression model that uses kernel density values as a dependent variable is applied to retail business data, a unique model cannot be selected because kernel density values change following kernel bandwidths. To overcome this problem, this paper suggests how to use the point pattern analysis, especially the L-index to select a unique spatial regression model. In this study, kernel density values of retail business are computed by the bandwidth, the distance of the maximum L-index and used as the dependent variable of spatial regression model. To test this procedure, we apply it to meeting room business data in Seoul, Korea. As a result, a spatial error model (SEM) is selected between two popular spatial regression models, a spatial lag model and a spatial error model. Also, a unique SEM based on the real distribution of retail business is selected. We confirm that there is a trade-off between the goodness of fit of the SEM and the real distribution of meeting room business over the bandwidth of maximum L-index. 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.