DOI: 10.1007/s11069-020-04026-4
论文题名: An automated approach for determination and prioritization of urban potential risk areas within the scope of superstructure
作者: Aksoy E. ; Selim S.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2020
卷: 103, 期: 1 起始页码: 1077
结束页码: 1091
语种: 英语
中文关键词: Geographic information systems
; Multi-criteria decision analysis
; Risk assessment
; Spatial planning
; Superstructure
英文关键词: GIS
; multicriteria analysis
; natural disaster
; population growth
; risk assessment
; urban area
; urbanization
; Antalya [Antalya (PRV)]
; Antalya [Turkey]
; Turkey
英文摘要: In the face of natural disasters, it is important to determine the potential risk areas in a fast and high accuracy and to take necessary precaution in urban areas. In this study, the potential risk areas according to the existing legislation are determined and prioritized by using geographic information systems and multi-criteria decision-making analysis. The main aim is to develop an automatic approach for assessing quickly the risk status of superstructure. This study was carried out in the south Mediterranean coast of Turkey in Antalya, which is the fifth largest city in terms of population. The rapid population growth and uncontrolled urbanization were effective in the selection of this region. In addition, the areas where the developed method is applied are dense in terms of slum and non-regulatory structures. As a result, 8.49 ha of the application area was detected to be high risky, 1.22 ha was risky, 9.51 ha was low risky, and 6.24 ha was minimum risk. Hence, the ratio of the areas in the very risky class to the total area is 33%, the ratio of the area in the risky class is 4%, the ratio of the area in the low risk class is 38%, and the rate of the area that appears to be the minimum risk is 25%. In this context, risk classes were mapped and priority intervention areas were determined. This study proposes and applies a method that will help and guide the related management and implementation level, especially urban and regional planners in urban settlements, in determining the potential risk areas due to superstructure. © 2020, Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168371
Appears in Collections: 气候变化与战略
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作者单位: Republic of Turkey Ministry of Environment and Urbanization, Antalya, Turkey; Department of Remote Sensing, Faculty of Science, Akdeniz University, Antalya, Turkey
Recommended Citation:
Aksoy E.,Selim S.. An automated approach for determination and prioritization of urban potential risk areas within the scope of superstructure[J]. Natural Hazards,2020-01-01,103(1)