2016
DOI: 10.5194/isprs-archives-xlii-2-w1-95-2016
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Gis-Based Accessibility Analysis of Urban Emergency Shelters: The Case of Adana City

Abstract: ABSTRACT:Accessibility analysis of urban emergency shelters can help support urban disaster prevention planning. Pre-disaster emergency evacuation zoning has become a significant topic on disaster prevention and mitigation research. In this study, we assessed the level of serviceability of urban emergency shelters within maximum capacity, usability, sufficiency and a certain walking time limit by employing spatial analysis techniques of GIS-Network Analyst. The methodology included the following aspects: the d… Show more

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Cited by 21 publications
(17 citation statements)
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“…We assume that the most reasonable catchment size for an emergency shelter can be identified as the point when the number of evacuees in the shelter catchment area matches the shelter capacity. Third, considering the differences between shelter and population catchments, we define the population catchment size as the walking distance from the population location to the second-nearest shelter [12,41]. Because McGrail, et al [46] pointed that the population would not access all the service facilities, using a fixed catchment size for demand population points will lead to measurement bias [36].…”
Section: Optimizing the Assumptions In The Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We assume that the most reasonable catchment size for an emergency shelter can be identified as the point when the number of evacuees in the shelter catchment area matches the shelter capacity. Third, considering the differences between shelter and population catchments, we define the population catchment size as the walking distance from the population location to the second-nearest shelter [12,41]. Because McGrail, et al [46] pointed that the population would not access all the service facilities, using a fixed catchment size for demand population points will lead to measurement bias [36].…”
Section: Optimizing the Assumptions In The Methodsmentioning
confidence: 99%
“…It is defined by utilizing a specific method to represent the systematic relationship between the points of departure and destination with the consideration for travel cost [8][9][10][11]. The spatial accessibility of urban emergency shelters can be utilized to measure the balance and equity between the shelter service and population demand [12].…”
Section: Introductionmentioning
confidence: 99%
“…There are a number of studies that investigate the pre-emergency strategies for the fire protection design (e.g., Mawhinney [9], Kironji [10], Mróz et al [11], Tomar and Khurana [12], and Rahardjo and Prihanton [13]) and the assembly point analysis (e.g., Raja Prasad and Prasad Rao [14], Unal and Uslu [15], Hoscan and Cetinyokus [16], and Şenik and Uzun [17]). For example, Kironji [10] assessed fire protection systems, such as the automatic sprinkler system, fire protection alarm, and escape route, for a commercial high-rise building.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Additionally, Unal and Uslu [15] applied the geographic information system (GIS) to analyze location of emergency shelters to be used as an assembly point for evacuees. Various factors related to area size, accessibility, and capacity are examined.…”
Section: Literature Reviewmentioning
confidence: 99%
“…With regard to the application of accessibility and the allocation of sites in green areas, they were applied in the study of access to green areas of Shanghai (Fan et al, 2017), access to nearby greenery and human health (Dinand & Sjerp, 2017), and the effects of population density on the quantity and structure of green spaces (Daniel et al, 2017), accessibility Ashraf Abdelkarim/ GEOSI Vol 5 No 1 (2020) 1-46 analysis for nearby gardens (Muge et al, 2016), citizen comfort analysis using accessibility to green areas (Lin et al, 2019), accessibility using land suitable for public parks in Larkana (Imtiaz et al, 2011), modelling of access for older people to green areas in high-density cities (Fangyinget al2016), and planning urban green areas environmental network (Haifeng et al, 2015).…”
Section: Introductionmentioning
confidence: 99%