文章基本信息

标题：Sustainable Analysis Architecture and Optimization of Urban Freight under Congestion
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作者：Xiaoxia Wang ; Xiaoxia Wang ; Zhong Liu 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2014
卷号：138
页码：418-426
DOI：10.1016/j.sbspro.2014.07.220
语种：English
出版社：Elsevier
摘要：AbstractThe most metropolitan areas in the world are facing escalating motorization and mobility demands. As a result, due to the inherently complexity of urban goods movement (UGM) problems, an efficient UGM has become a critical issue. This paper presents a literature review on history and challenge of UGM, summarizes the architecture of UGM including trucks operation constraints and infrastructure layout, and points out optimization objectives for popular regulation policy choices of UGM, including social cost balance, such as emission, safety and congestion, and trade-off between efficiency, effectiveness and equity, finally concludes small trucks as a better choice for UGM by numerical analysis.
关键词：Urban Freight;Sustainable Analysis Architecture;Traffic Congestion;Optimization.