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Spatial Network Analysis of Container Port Operations: The Case of Ship Turnaround Times
Networks and Spatial Economics ( IF 2.4 ) Pub Date : 2022-07-04 , DOI: 10.1007/s11067-022-09570-z
César Ducruet , Hidekazu Itoh

This research investigates the determinants of ship turnaround times at about 2,300 container ports between 1977 and 2016, based on nearly 3 million daily vessel movements. It adopts a multilevel approach combining territorial and network indicators to characterize ports, and proposes a new methodology calculating shipping delays. Main results reveal that port connectivity, Gross Domestic Product per capita, the number of vessel calls, and island location foster efficient port operations. Conversely, urban population, voyage delays at sea, maximum ship size, and upstream location increase turnaround time. While average turnaround time and inter-port sailing time have both regularly declined, operational and technological changes in the ports and maritime sector - especially after the 2007/8 global financial crisis - accelerated intra-port time and slowed down inter-port time. This relational and spatial approach also underlines the geographic differentiation of ship times nationally and regionally, as it is far from being randomly distributed on the globe. ... Yutani, H.



中文翻译:

集装箱港口作业的空间网络分析:以船舶周转时间为例

这项研究调查了 1977 年至 2016 年间约 2,300 个集装箱港口的船舶周转时间的决定因素,基于每天近 300 万艘船舶移动。它采用结合地域和网络指标的多层次方法来表征港口,并提出了一种计算运输延误的新方法。主要结果表明,港口连通性、人均国内生产总值、船舶停靠次数和岛屿位置促进了高效的港口运营。相反,城市人口、海上航行延误、最大船舶尺寸和上游位置会增加周转时间。虽然平均周转时间和港口间航行时间都定期下降,港口和海事部门的运营和技术变革——尤其是在 2007/8 年全球金融危机之后——加快了港口内时间并减慢了港口间时间。这种关系和空间方法也强调了船舶时间在国家和地区上的地理差异,因为它远非随机分布在全球范围内。... Yutani,H.

更新日期:2022-07-06
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