2020
DOI: 10.1016/j.oceaneng.2020.107859
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A novel oil port risk and efficiency performance measured by using AIS data and maritime open data: The case of Guangzhou, China

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Cited by 7 publications
(3 citation statements)
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“…(1) Amount and utilization of the loading arm/hose with different sizes are key factors of machine rupture probability estimation. Here, the utilization can be estimated by historical statistic data, or assume the loading machine utilization equals the corresponding berth utilization, which can be objectively estimated by AIS data (Zhong et al, 2020).…”
Section: Methodsmentioning
confidence: 99%
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“…(1) Amount and utilization of the loading arm/hose with different sizes are key factors of machine rupture probability estimation. Here, the utilization can be estimated by historical statistic data, or assume the loading machine utilization equals the corresponding berth utilization, which can be objectively estimated by AIS data (Zhong et al, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…The existing research tends to estimate the ship traffic by historical statistic data, and roughly estimate the berthing time according to the tonnage of ship (Ugurlu et al, 2015). Zhong et al (2020) propose an accurate method to estimate this information by AIS data. The data about handling events in this paper is gained referring to the latter method.…”
Section: Methodsmentioning
confidence: 99%
“…It is adjacent to Shantou City in the East, Lufeng City in the west, Nanhai City in the South, and Puning City in the north. e Port of Shenquan is a significant place for China's economic development and layout along the Longjiang River, an important node of modern logistics, and an essential hub of core ports and regional comprehensive transportation system in the coastal areas of Guangdong Province [7,8]. Construction in the harbor has changed nature and caused a strong disturbance to the coastal system, resulting in a new imbalance [9,10].…”
Section: Introductionmentioning
confidence: 99%