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A strategic network choice model for global container flows: specification, estimation and application

机译:全球集装箱流的战略性网络选择模型:规范,估计和应用

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Container flows have been booming for decades. Expectations for the 21st century are less certain due to changes in climate and energy policy, increasing congestion and increased mobility of production factors. This paper presents a strategic model for the movement of containers on a global scale in order to analyse possible shifts in future container transport demand and the impacts of transport policies thereon. The model predicts yearly container flows over the world's shipping routes and passing through 437 container ports around the world, based on trade information to and from all countries, taking into account more than 800 maritime container liner services. The model includes import, export and transhipment flows of containers at ports, as well as hinterland flows. The model was calibrated against observed data and is able to reproduce port throughput statistics rather accurately. The paper also introduces a scenario analysis to understand the impact of future, uncertain developments in container flows on port throughput. The scenarios include the effects of slow steaming, an increase in land based shipping costs and an increased use of large scale infrastructures such as the Trans-Siberian rail line and the opening of Arctic shipping routes. These scenarios provide an indication of the uncertainty on the expected port throughputs, with a particular focus on the port of Rotterdam in the Netherlands.
机译:数十年来,集装箱运输一直在蓬勃发展。由于气候和能源政策的变化,交通拥堵加剧和生产要素的流动性增加,人们对21世纪的期望越来越不确定。本文提出了全球范围内集装箱运输的战略模型,以分析未来集装箱运输需求的可能变化以及运输政策对其的影响。该模型基于往返于所有国家/地区的贸易信息,并考虑了800多个海上集装箱班轮服务,预测了每年在世界各航线上的集装箱流量以及通过437个集装箱港口的流量。该模型包括港口集装箱的进出口流和腹地流。该模型已根据观察到的数据进行了校准,并且能够相当准确地重现端口吞吐量统计信息。本文还介绍了一种情景分析,以了解集装箱流量未来不确定的发展对港口吞吐量的影响。情景包括缓慢的航行,陆上运输成本增加以及大规模基础设施(例如跨西伯利亚铁路线和北极航运路线的开通)的使用。这些情况表明了预期的港口吞吐量的不确定性,特别是荷兰的鹿特丹港口。

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