Using PPGIS to access Risk of Maritime Casualty-A Case Study of Taitung Sea Area

碩士 === 國立高雄海洋科技大學 === 海洋事務與產業管理碩士學位學程 === 104 === Because of Taiwan’s special location, it is an important hub for global fishery and shipping, estimated that at least a daily average of more than 300 merchant ships sailing in the waters around Taiwan. According to Lloyd`s Registry of Shipping’s mar...

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Bibliographic Details
Main Authors: Liao,Man-Ya, 廖曼雅
Other Authors: Lee,Meng-Tsung
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/bd9w7d
Description
Summary:碩士 === 國立高雄海洋科技大學 === 海洋事務與產業管理碩士學位學程 === 104 === Because of Taiwan’s special location, it is an important hub for global fishery and shipping, estimated that at least a daily average of more than 300 merchant ships sailing in the waters around Taiwan. According to Lloyd`s Registry of Shipping’s maritime casualty statistics showed that waters of Taiwan was classified as moderate risk environment, and Geographical Information System plays an important role in the assessment of risk, however, GIS technology is more difficult because of its operating environment and can not become a technology used by the general public, in the meantime, Public Participation Geographic Information System was come up, its purpose is to expand the GIS application object to non-GIS professionals, such as non-governmental organizations, community groups, and even general public can participate in decision-making process. Because of Taiwan’s location, northeast monsoon in winter and typhoon in summer are prevailing wind, especially in the eastern part of Taiwan can feel the strong northeast monsoon. Review past studies of maritime casualty, previous studies used literature review and data collection methods to analyze, so this study is going to explore the past 12 years occurred the point of maritime casualty in Taitung sea, discuss hotspot in different distribution patterns of temporal and spatial, assess its high-risk areas, and combine PPGIS, so that people can participate with risk assessment. The results of this study indicates that in temporal analysis, spring is the peak season, the highest number of cases is the month of May, the most number of cases occurred during the day and the highest number of cases is the time of 8 o’clock in the morning. In spatial analysis, compare risk areas of actual cases and public participation, although there are the same areas but the risk area of the actual cases are still different from public participation, coast guard should increase patrols in this risk areas.