2018/09/20 by Ferretti, Michele, Gianni Barlacchi, Barlacchi, Gianni +6
Engineering · Social Sciences · #FOS: Computer and information sciences #FOS: Physical sciences #Human Mobility and Location-Based Analysis #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Traffic Prediction and Management Techniques #Urban Transport and Accessibility
paper · pdf · doi:10.48550/arxiv.1809.07839
openalex publication_date 2018/09/20 · openalex created_date 2022/08/03 · openalex updated_date 2026/07/28
The availability of massive data-sets describing human mobility offers the\npossibility to design simulation tools to monitor and improve the resilience of\ntransport systems in response to traumatic events such as natural and man-made\ndisasters (e.g. floods terroristic attacks, etc...). In this perspective, we\npropose ACHILLES, an application to model people's movements in a given\ntransport system mode through a multiplex network representation based on\nmobility data. ACHILLES is a web-based application which provides an\neasy-to-use interface to explore the mobility fluxes and the connectivity of\nevery urban zone in a city, as well as to visualize changes in the transport\nsystem resulting from the addition or removal of transport modes, urban zones,\nand single stops. Notably, our application allows the user to assess the\noverall resilience of the transport network by identifying its weakest node,\ni.e. Urban Achilles Heel, with reference to the ancient Greek mythology. To\ndemonstrate the impact of ACHILLES for humanitarian aid we consider its\napplication to a real-world scenario by exploring human mobility in Singapore\nin response to flood prevention.\n