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    2016年物流专业外文文献翻译 ---城市物流的机遇与挑战

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    2016年物流专业外文文献翻译 ---城市物流的机遇与挑战

    1、1 4000英文单词, 2.3 万英文字符,中文 6400 字 文献出处: Taniguchi E, Thompson R G, Yamada T. New opportunities and challenges for city logisticsJ. Transportation Research Procedia, 2016, 12: 5-13. New opportunities and challenges for city logistics Eiichi Taniguchi, Russell G. Thompson, and Tadashi Yamada Abstract: T

    2、he information revolution is creating both opportunities and challenges for improving the sustainability of urban freight systems. A range of vehicle movement data can now be automatically collected from low cost sensors that are able to assist in improving understanding distribution systems and inc

    3、reasing their efficiency. Vehicle monitoring technologies that have the potential to charge both passenger and goods vehicles for using the road system, allow a new array of pricing schemes to be introduced. However, E-commerce (B2C) is creating a surge in home deliveries that is increasing the soci

    4、al and environmental costs of goods distribution systems. This paper describes some applications of big data systems and decision support systems that can be used to enhance the design and evaluation city logistics schemes. The need to develop improved tools for understanding logistics sprawl and re

    5、ducing its effects are described. Developments in alternative fuel vehicles and advanced manufacturing systems are also presented. Keywords: big data; e-commerce; decision support systems; road pricing; logistic sprawls; co-modality; alternative fuel vehicles 1. Introduction City Logistics is based

    6、on the systems approach that involves a number of technical processes including modelling, evaluation and the application of information technologies (Taniguchi and Thompson, 2014). Advances in Information and Communication Technology (ICT) provide opportunities for improving the performance of urban freight systems. ICT also creates the potential for developing more advanced urban freight management systems such as joint delivery systems and road pricing schemes. 2. Big data and analysis Th


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