作者
Michele Ferretti, Gianni Barlacchi, Luca Pappalardo, Lorenzo Lucchini, Bruno Lepri
发表日期
2018/10/1
研讨会论文
2018 IEEE 5th international conference on data science and advanced analytics (DSAA)
页码范围
472-480
出版商
IEEE
简介
The availability of massive data-sets describing human mobility offers the possibility to design simulation tools to monitor and improve the resilience of transport systems in response to traumatic events such as natural and man-made disasters (e.g., floods, terrorist attacks, etc. . . ). In this perspective, we propose ACHILLES, an application to models people's movements in a given transport mode through a multiplex network representation based on mobility data. ACHILLES is a web-based application which provides an easy-to-use interface to explore the mobility fluxes and the connectivity of every urban zone in a city, as well as to visualize changes in the transport system resulting from the addition or removal of transport modes, urban zones, and single stops. Notably, our application allows the user to assess the overall resilience of the transport network by identifying its weakest node, i.e. Urban Achilles Heel, with …
引用总数
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M Ferretti, G Barlacchi, L Pappalardo, L Lucchini… - 2018 IEEE 5th international conference on data …, 2018