Cities all around the world are observing increasing levels of urban freight activities owing to the growth of internet shopping combined to the traditional distribution to shops, creating additional problems in terms of congestions and environmental impacts. This study, developed within the European Project SUITS framework, aims at showing how Local Authorities can effectively observe freight flows from the demand side. This led to the design, implementation and testing of a spatial cluster analysis approach to understand which are the most important loading/unloading parking spots in an urban setting by processing the GPS traces of a fleet of logistic vehicles. Later field activities should focus on these important areas to maximize the efficiency of the survey. A survey of retailers and shops in such areas to observe delivering activities is then proposed. The whole process, namely the spatial analysis and the field survey, was then tested to the real case of an Italian city (Turin) to assess the potentiality of the methods. The methodology proposed can give useful insights to Local Authorities on a way of monitoring the freight distribution patterns at the more disaggregated individual loading/unloading area.

中文翻译：

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城市地区的货运分布：选择最重要的装卸区的方法和调查相关需求模式的调查工具

由于互联网购物的增长以及传统的商店配送方式，世界各地的城市都在观​​察城市货运活动的增加，这在交通拥堵和环境影响方面造成了更多问题。这项研究是在欧洲项目SUITS框架内进行的，旨在展示地方当局如何有效观察需求方的货运量。这导致了空间聚类分析方法的设计，实施和测试，以通过处理物流车辆车队的GPS轨迹来了解哪些是城市环境中最重要的装卸停车场。以后的现场活动应集中在这些重要领域，以最大程度地提高调查效率。然后建议对这些地区的零售商和商店进行调查，以观察交付活动。然后，对整个过程（即空间分析和现场调查）进行了测试，以一个意大利城市（都灵）的真实案例进行评估，以评估方法的潜力。所提出的方法学可以为地方当局提供一种有用的见解，该方法可以在更分散的个人装卸区域监控货运分布模式。