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Modelling Sydney's light commercial service vehicles

机译:建模悉尼轻型商用服务车

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A frequently overlooked source of trips in Sydney (and elsewhere) is light commercial vehicles (LCVs) used by tradesmen and other service workers to travel to customers to provide commercial services. Although these trips have substantial differences from other types of trips (and vehicles), they are frequently included either as standard passenger vehicles or, alternatively, as freight, if they are considered at all. However, light commercial vehicle trips used for commercial services comprise a substantial number of vehicle trips, particularly in areas with large concentrations of businesses such as the Sydney CBD and other growing business precincts, and for this reason should be included in travel demand models. As part of a large project involving the development of a comprehensive model system for predicting passenger, service and freight travel in Sydney (MetroScan-TI), this paper outlines the estimation and application of a set of models for service vehicles. The model system includes four models, a tour generation model, a tour type model, a Statistical Local Area (SLA) choice model and a destination (or travel zone) choice model. These models are estimated using data from a subset of the Sydney Household Travel Survey (HTS) involving work trips using LCVs, as well as detailed land-use and employment data from the 2011 Australian Census. We obtain a set of behaviourally rich and geographically detailed models that incorporate feedback through the use of several inclusive value (log sum) parameters. In addition to the overview of the model system, this paper discusses the estimation results and their application to policies. (C) 2016 Published by Elsevier Ltd.
机译:悉尼(及其他地区)经常被忽视的出行来源是商人和其他服务人员用来向客户提供商业服务的轻型商用车(LCV)。尽管这些旅行与其他类型的旅行(和车辆)有实质性的区别,但是如果考虑到它们,通常会将它们作为标准乘用车或作为货运包括在内。但是,用于商业服务的轻型商用车辆出行包括大量的车辆出行,尤其是在悉尼CBD等商业集中的地区以及其他增长中的商业区,因此,应将其纳入出行需求模型。作为涉及开发用于预测悉尼的乘客,服务和货运行程的综合模型系统(MetroScan-TI)的大型项目的一部分,本文概述了一组服务车辆模型的估计和应用。该模型系统包括四个模型,一个旅行生成模型,一个旅行类型模型,一个统计本地(SLA)选择模型和一个目的地(或旅行区域)选择模型。这些模型是根据悉尼家庭旅行调查(HTS)子集的数据估算的,这些数据涉及使用LCV进行的工作旅行,以及来自2011年澳大利亚人口普查的详细土地使用和就业数据。我们获得了一组行为丰富且地理位置详细的模型,这些模型通过使用多个包含性值(对数和)参数来合并反馈。除了对模型系统的概述之外,本文还讨论了估计结果及其在策略中的应用。 (C)2016由Elsevier Ltd.出版

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