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SUMMARY:Understanding Urban Mobility from a Gendered Perspective through M
 obile Phone Data
DTSTART:20190130T121500
DTEND:20190130T131500
DTSTAMP:20260408T052701Z
UID:5d29f67b53cac712c210a670f937cb579a0539acbe26dd8d74446dbe
CATEGORIES:Conferences - Seminars
DESCRIPTION:Laetitia Gauvin is Research Leader in the Data Science group a
 t ISI Foundation. She completed her Master’s at Imperial College\, Lond
 on and at the Centre de Physique Théorique\, Marseille. She then pursued 
 a Ph.D. on the study of socio-economic systems using tools from statistic
 al physics at the Laboratoire de Physique Statistique (LPS) of the Ecole 
 Normale Supérieure in Paris. As a postdoctoral researcher\, she has been
  involved in the project Dyxi dealing with Urban Collective Dynamics: Ind
 ividual and Spatial Heterogeneities. Her research interests focus on the 
 study of socio-economic systems with an approach involving data mining\, 
 statistical physics analysis and machine learning.\nThe use of public tran
 sportation or simply moving about in streets are gendered issues. Women an
 d girls often engage in multi-purpose\, multi-stop trips in order to do ho
 usehold chores\, work\, and study (‘trip chaining’). Women-headed hous
 eholds are often more prominent in urban settings and they tend to work mo
 re in low-paid/informal jobs than men\, with limited access to transportat
 ion subsidies.\nIn this talk\, I will present recent results of a large co
 llaborative project aimed at decoding the complexity of urban mobility fro
 m a gendered perspective by uniquely combining a wide range of datasets\, 
 including commercial sources of telecom and open data.\nWe explored urban 
 mobility of women and men in the greater metropolitan area of Santiago\, C
 hile\, by analyzing the mobility traces extracted from the Call Detail Rec
 ords (CDRs) of a large cohort of anonymized mobile phone users over a peri
 od of 3 months. To investigate gender differences in mobility behavior\, w
 e analyze gender disaggregated mobility patterns of users by computing the
  number of unique locations visited by each user and their associated freq
 uency of visits. We find that\, taking into account the differences in use
 rs’ calling behaviors\, women move less than men\, visiting less unique 
 locations and distributing their time less equally among such locations. B
 y mapping gender differences in mobility over the 52 “comunas” of Sant
 iago\, we find a higher mobility gap to be correlated with socio-economic 
 indicators\, such as a lower average income\, and with the lack of public 
 and private transportation options. Such results provide new insights for 
 policymakers to design more gender inclusive transportation plans in the c
 ity of Santiago.\n\nLunch will be provided by HERUS Lab
LOCATION:GR A3 31 https://plan.epfl.ch/?room==GR%20A3%2031
STATUS:CONFIRMED
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