Methodologies for reducing truck turn time at marine container terminals.
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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
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Methodologies for reducing truck turn time at marine container terminals.

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English

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  • Abstract:
    One of the prominent issues container terminal operators in the US are seeking to address is how to effectively

    reduce truck turn time. Historically, truck turn time has received very little attention from terminal operators because port

    congestion has never been a barrier to their operations. However, with the recent explosive growth in containerized trade,

    terminals are straining to accommodate the truck traffic that moves through them. The heavy intermodal truck traffic is not

    only causing problems for terminal operators but for the public as well. The emissions from idling trucks are a hazard to

    people working and living in and around the terminals. With containerized trade volume expected to double in the next ten

    years, the problems associated with port congestion could get worse if measures are not taken to address the source of the

    problems.

    Terminals in some areas of the US are now required by state law to expedite the flow of trucks through their

    terminals. In California, any truck that idles for more than thirty minutes will result in a $250 fine to the terminal operator.

    This law has prompted terminal operators to look for ways to move trucks through their terminals faster, not just to avoid

    paying the fine, but also to lower the inland transportation cost of shipping a container via their terminals to remain

    competitive.

    This research investigates the two measures terminal operators are taking to reduce their terminals’ truck turn

    time. The first measure is investing in additional yard cranes to facilitate the handling of containers. To this end, this

    research seeks to assist terminal operators in deciding whether or not to make the investment. Statistical and simulation

    methodologies are developed to better understand the availability of yard cranes versus truck turn time. The second

    measure is implementing a truck appointment system to regulate the number of trucks into the terminal. To this end, this

    research seeks to assist terminal operators in evaluating the consequences of limiting truck arrivals into the terminals.

    Furthermore, this research develops a methodology to assist terminal operators in implementing the truck appointment

    system, should they decided to have one.

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