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Traffic at Intermodal Logistic Hubs– shedding light on the blind spot

机译:多式联运物流枢纽的交通–盲点处的亮点

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Intermodal Logistic Hubs attract significant amounts of different kinds of traffic. Trucksdeliver and pick up goods, containers have to be moved between different terminals,service vehicles of operators and authorities mix into the heavy vehicles, and sometimeseven public roads cross the site. The “organic growth” of these facilities and themultitude of involved parties frequently result in inefficient and sometimes eveninsufficient traffic infrastructure, unnecessary negative environmental impacts, and highcosts for stakeholders. To optimize the infrastructure and operation of these hubs therequirements of the different stakeholders, service times at facilities within, origins anddestinations of vehicles, their routes and speeds, and so on have to be known – whichthey are often not.This article scrutinizes the mentioned issues and outlines the potential ofshedding light on these issues for the example of the Port of Hamburg (Germany). In thefocus is the methodology used to analyze the traffic in such an Intermodal Logistic Hubcovering a land area of 43 km² and being entered and left by more than 120,000 vehiclesevery day. Expert and street side interviews, vehicle tracking, and screenline trafficcounts have been combined to answer questions on bottlenecks, emission black spots, andviability of electric vehicles. This combination of traditional and modern surveytechniques proved to provide a wealth of new information which allows for improvedprocesses and procedures leading to increased turnover of goods with a giveninfrastructure and with less negative impacts.
机译:多式联运物流枢纽吸引了大量不同类型的流量。货车 运送和提货,必须在不同码头之间移动集装箱, 运营商和政府部门的服务车辆混入重型车辆中,有时 甚至公共道路也穿过该站点。这些设施的“有机增长”以及 众多参与方经常导致效率低下,有时甚至导致 交通基础设施不足,不必要的负面环境影响以及高 利益相关者的成本。为了优化这些枢纽的基础设施和运营, 不同利益相关者的要求,内部设施的服务时间,来源和 必须知道车辆的目的地,其路线和速度等– 他们往往不是。 本文仔细研究了所提到的问题,并概述了潜在的问题。 以汉堡港(德国)为例,阐明了这些问题。在里面 重点是用于分析这种多式联运物流枢纽中的流量的方法 占地面积43平方公里,有12万多辆车进出 每天。专家和路边访谈,车辆跟踪和屏幕线交通 计数已合并以回答有关瓶颈,排放黑点和 电动汽车的生存能力。传统与现代调查的结合 事实证明,这些技术可以提供大量的新信息,从而可以改善 特定条件下导致商品周转率提高的过程和程序 基础设施,负面影响较小。

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