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Freight Data Assembling and Modeling: Methodologies and Practice

机译:货运数据组装与建模:方法与实践

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In comparison to personal travel, freight movements within large metropolitan areas are much less studied. Most conventional transportation models and planning analysis that disregarded freight flows have been criticized on the plausibility of their results and conclusions. To alleviate these problems, this study proposes a non-survey based approach to assemble and process freight data in a systematic way. A freight origin-destination (OD) matrix of freight flows can be developed using secondary data sources. The estimated freight flows can be loaded together with conventional passenger flows onto the regional highway network of a large metropolitan area. As a case study, this non-survey based approach was applied to build a freight OD and study the traffic flows in Los Angeles. It concluded that this approach can be used to analyze urban freight movement in a low-cost way in which planning agencies can overcome the common omission of freight flow information in their transportation plans.
机译:与个人旅行相比,对大都市地区的货运活动的研究少得多。多数传统的运输模型和计划分析都忽略了货运量,因此对其结果和结论的合理性提出了批评。为了缓解这些问题,本研究提出了一种基于非调查的方法,以系统的方式组装和处理货运数据。可以使用辅助数据源开发货运流的货运目的地-目的地(OD)矩阵。可以将估计的货运量与常规的客运量一起加载到大城市区域的区域公路网中。作为案例研究,此基于非调查的方法被用于构建货运OD,并研究洛杉矶的交通流量。结论是,该方法可用于以低成本方式分析城市货运活动,使计划机构可以克服其运输计划中常见的货运流信息遗漏。

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