01714nas a2200157   4500008004100000245009000041210006900131260000900200520116900209100002201378700002201400700002101422700002201443700001701465856007401482       2018                        eng d00aWeak nodes detection in urban transport systems: Planning for resilience in Singapore0 aWeak nodes detection in urban transport systems Planning for res  bIEEE3 aThe 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 reference to the ancient Greek mythology. To demonstrate the impact of ACHILLES for humanitarian aid we consider its application to a real-world scenario by exploring human mobility in Singapore in response to flood prevention.1 aFerretti, Michele1 aBarlacchi, Gianni1 aPappalardo, Luca1 aLucchini, Lorenzo1 aLepri, Bruno  uhttps://ieeexplore.ieee.org/abstract/document/8631413/authors#authors