Understanding Urban Mobility from a Gendered Perspective through Mobile Phone Data

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Date 30.01.2019
Hour 12:1513:15
Speaker Laetitia Gauvin is Research Leader in the Data Science group at ISI Foundation. She completed her Master’s at Imperial College, London and at the Centre de Physique Théorique, Marseille. She then pursued a Ph.D. on the study of socio-economic systems using tools from statistical 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: Individual 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.
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Category Conferences - Seminars

The use of public transportation or simply moving about in streets are gendered issues. Women and girls often engage in multi-purpose, multi-stop trips in order to do household chores, work, and study (‘trip chaining’). Women-headed households are often more prominent in urban settings and they tend to work more in low-paid/informal jobs than men, with limited access to transportation subsidies.
In this talk, I will present recent results of a large collaborative project aimed at decoding the complexity of urban mobility from a gendered perspective by uniquely combining a wide range of datasets, including commercial sources of telecom and open data.
We explored urban mobility of women and men in the greater metropolitan area of Santiago, Chile, by analyzing the mobility traces extracted from the Call Detail Records (CDRs) of a large cohort of anonymized mobile phone users over a period of 3 months. To investigate gender differences in mobility behavior, we analyze gender disaggregated mobility patterns of users by computing the number of unique locations visited by each user and their associated frequency of visits. We find that, taking into account the differences in users’ calling behaviors, women move less than men, visiting less unique locations and distributing their time less equally among such locations. By mapping gender differences in mobility over the 52 “comunas” of Santiago, 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 city of Santiago.

Lunch will be provided by HERUS Lab

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  • General public
  • Free

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Data Science Urban Mobility Gender Perspective Mobile Phone Data

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