Tourist flows in historical cities are continuously growing in a globalized world and adequate governance processes, politics and tools are necessary in order to reduce impacts on the urban livability and to guarantee the preservation of cultural heritage. The ICTs offer the possibility of collecting large amount of data that can point out and quantify some statistical and dynamic properties of human mobility emerging from the individual behavior and referring to a whole road network. In this paper we analyze a new dataset that has been collected by the Italian mobile phone company TIM, which contains the GPS positions of a relevant sample of mobile devices when they actively connected to the cell phone network. Our aim is to propose innovative tools allowing to study properties of pedestrian mobility on the whole road network. Venice is a paradigmatic example for the impact of tourist flows on the resident life quality and on the preservation of cultural heritage. The GPS data provide anonymized georeferenced information on the displacements of the devices. After a filtering procedure, we develop specific algorithms able to reconstruct the daily mobility paths on the whole Venice road network. The statistical analysis of the mobility paths suggests the existence of a travel time budget for the mobility and points out the role of the rest times in the empirical relation between the mobility time and the corresponding path length. We succeed to highlight two connected mobility subnetworks extracted from the whole road network, that are able to explain the majority of the observed mobility. Our approach shows the existence of characteristic mobility paths in Venice for the tourists and for the residents. Moreover the data analysis highlights the different mobility features of the considered case studies and it allows to detect the mobility paths associated to different points of interest. Finally we have disaggregated the Italian and foreigner categories to study their different mobility behaviors.

中文翻译：

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在重大旅游活动期间使用ICTs数据阐明公路网络上的行人通行性

在全球化的世界中，历史名城的游客流量在不断增长，为了减少对城市宜居性的影响并确保文化遗产的保护，必须有适当的治理程序，政治和工具。信息通信技术提供了收集大量数据的可能性，这些数据可以指出和量化由个人行为和整个道路网络产生的人员流动的一些统计和动态特性。在本文中，我们分析了意大利移动电话公司TIM收集的新数据集，其中包含当移动设备主动连接到手机网络时相关移动设备样本的GPS位置。我们的目的是提出创新的工具，以研究整个道路网络上的行人流动性。威尼斯是游客流向居民生活质量和文化遗产保护产生影响的典范例子。GPS数据提供有关设备位移的匿名地理参考信息。经过过滤程序，我们开发了特定的算法，能够重建整个威尼斯道路网络上的日常出行路径。对移动路径的统计分析表明，存在用于移动的旅行时间预算，并指出了休息时间在移动时间与相应路径长度之间的经验关系中的作用。我们成功地突出了从整个道路网络中提取的两个相连的移动性子网，它们能够解释观察到的大多数移动性。我们的方法显示了威尼斯为游客和居民提供的独特的交通路径。此外，数据分析突出了所考虑案例研究的不同移动性特征，并允许检测与不同兴趣点相关的移动性路径。最后，我们对意大利和外国人类别进行了分类，以研究他们的不同流动行为。