Evaluating Two Low-Cost Methods of Collecting Truck Generation Data Using Grocery Stores

EDWARD McCORMACK; ALON BASSOK

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Evaluating Two Low-Cost Methods of Collecting Truck Generation Data Using Grocery Stores

机译：评估使用杂货店收集卡车发电数据的两种低成本方法

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Trucks dominate freight transportation in the United States, carrying the majority of freight by weight and value.1 One important tool for understanding and analyzing truck activity is trip generation information, which quantifies the number of vehicle trips that are produced by specific types of land uses or businesses. Accurate truck trip rates are necessary to make informed decisions that address not only efficient freight movements but also traffic, land-use, and environmental decisions, and they are a critical input into freight models. In comparison with passenger trip generation tools, which are used in many jurisdictions, truck trip generation has received far less attention.

机译：卡车在美国占主导地位，占重量和价值的大部分。1是了解和分析卡车活动的重要工具之一，是出行信息，它可以量化特定土地用途类型产生的出行次数。或企业。准确的卡车出行速度对于做出明智的决策至关重要，不仅要解决有效的货运活动，还要解决交通，土地使用和环境决策，这是货运模型的关键输入。与在许多国家/地区使用的旅客旅行生成工具相比，卡车旅行生成受到的关注要少得多。

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《ITE journal》 |2011年第6期|p.34-38|共5页
作者
EDWARD McCORMACK; ALON BASSOK;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
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Evaluating Two Low-Cost Methods of Collecting Truck Generation Data Using Grocery Stores

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