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SUMMARY:Understanding individual mobility using GPS data
DTSTART:20101014T121500
DTSTAMP:20260407T043058Z
UID:a634ddec8c05751a076ff5a50182d1fa5a1192cec512c9764b81285f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Armando Bazzani\, Un. of Bologna\nRecent studies have po
 inted out the complexity of human mobility and the necessity of understand
 ing the individual mobility demand to perform a mobility governance. In It
 aly a relevant percentage of vehicle population is equipped by a GPS syste
 m for insurance reason and the origin and destination of each trip is reco
 rded in a data base. We have analyzed the GPS data of the whole Emilia-Rom
 anga region recorder during the November 2008 to look for generic scaling 
 laws that characterize human mobility. We propose the existence of an "mob
 ility energy" that determines the trip length distribution. We also recons
 truct the mobility network from experimental data and we show as the mobil
 ity demand is a mixed of an origin-destination systematic mobility and a r
 andom asystematic mobility which produces a diffusion behavior in the netw
 ork. We finally consider the possibility of classifying the different indi
 viduals according to the properties of their mobility networks.\n\nProf. B
 azzani is member of  the group of Physics of Complex Systems (www.physycom
 .unibo.it) at the Physics Department of the Bologna University and he coor
 dinates some research projects in the Physics of the City Laboratory. He i
 s responsible of the INFN theory project BO41 on physical applications of 
 dynamical systems theory. The main research interests of Prof. Bazzani con
 cern the study of dynamical models relevant for social and biological syst
 ems.\, among others\, the applications of dynamical systems theory to neur
 onal networks and evolution models\, and the emergent properties of an aut
 omata gas (i.e. a statistical systems of cognitive particles) studied for 
 the applications to modeling urban mobility.
LOCATION:GC A3 31
STATUS:CONFIRMED
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