Abstract
Human hazards can represent a significant risk to the population and cause huge economic damage in many urbanized regions. In order to be able to identify risk hot spots and implement targeted risk reduction measures, decision makers need to have a clear picture of the risk situation in their countries or regions. This work reviews existing approaches for human hazard and risk assessment, and geographic information system–based statistical tools are employed to analyze the hazard cases which happened within the Taichung Port area from 2000 to 2010. Based on hazard analysis, we establish a seasonal digital map and calculate the center of the distribution of hazard cases and the standard distance and observe the distribution trend. We also identify the hazard cases’ gathering mode by the average nearest neighbor method. Finally, hot spot analysis is proposed to assess the position and features of hot and cold spots, as a reference for coast guard patrols.
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Notes
Central Disaster Prevention and Response Office, Executive Yuan, May 2009, Disaster Prevention and Response Operation Plan for the Ministry of Transportation and Communications, http://www.ey.gov.tw/ct.asp?xItem=66247&ctNode=3507&mp=93, logon date: July 12th, 2011.
The GiZ Score indicates the value obtained with ArcGIS Hot Spot Analysis–Getis Ord Gi*, which can provide identifying data with high or low values for the occurrence of spatial convergence and the location of hot spots/cold spots. Standard Deviation (SD) is used as the unit and can be divided into: <−2.58 SD (coldest spots), −2.58–1.96 SD (cold spots), −1.96 to −1.65 SD (sub cold spots), −1.65–1.65 SD (average distribution), >2.58 SD (most hot spots), 1.96–2.58 SD (hot spots), and 1.65–1.96 SD (sub hot spots).
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The authors would like to thank the National Science Council of the Republic of China, Taiwan, for their financial support of this research under Contract Nos. NSC 100-2221-E-022-013-MY2, NSC 100-2628-E-022-002-MY2.
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Chen, CW., Lee, CC., Chen, CH. et al. The integration of nautical hazard assessment and harbor GIS models to the Taichung Port area in Taiwan. Nat Hazards 67, 275–294 (2013). https://doi.org/10.1007/s11069-013-0559-4
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DOI: https://doi.org/10.1007/s11069-013-0559-4