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Laëtitia Gauvin

Biographic Data

ID8760592
NAMELaëtitia Gauvin
GIVEN NAMESLaëtitia
FAMILY NAMEGauvin
SIGNATUREGAUVIN L
AFFILIATIONSInstitute for Scientific Interchange
ORCID0000-0003-3085-8641
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Disruptions in Music Listening Behaviors During Lockdowns

    Open Access•Pierre Gallinari Safar, Laëtitia Gauvin et al.•ARTICLE•Proceedings of the International…•2025

    This study examines how individual music listening behaviors evolved during the COVID-19 lockdowns in France, focusing on both listening volumes and rhythms. We combine passively collected individual listening history data, provided by a music streaming service and covering the 2019-2023 period, with survey data collected from the same users (n ≈ 10000). Using the Dynamic Time Warping method, we develop a typology of listening trajectories during…

  • Data-driven micromobility network planning for demand and safety

    Open Access•Pietro Folco, Laëtitia Gauvin et al.•ARTICLE•Environment and Planning B Urban…•2023

    Developing safe infrastructure for micromobility like bicycles or e-scooters is an efficient pathway towards climate-friendly, sustainable, and livable cities. However, urban micromobility infrastructure is typically planned ad-hoc and at best informed by survey data. Here, we study how data of micromobility trips and crashes can shape and automatize such network planning processes. We introduce a parameter that tunes the focus between demand-bas…

  • Gender gaps in urban mobility

    Open Access•Laëtitia Gauvin, Michele Tizzoni et al.•ARTICLE•Humanities and Social Sciences…•2020

    Mobile phone data have been extensively used to study urban mobility. However, studies based on gender-disaggregated large-scale data are still lacking, limiting our understanding of gendered aspects of urban mobility and our ability to design policies for gender equality. Here we study urban mobility from a gendered perspective, combining commercial and open datasets for the city of Santiago, Chile. We analyze call detail records for a large coh…

  • Modeling urban housing market dynamics

    Laëtitia Gauvin, Annick Vignes et al.•ARTICLE•Journal of Economic Dynamics and…•2013

No prominent works on this page.

  • Modeling urban housing market dynamics

    Laëtitia Gauvin, Annick Vignes et al.•ARTICLE•Journal of Economic Dynamics and…•2013

  • Gender gaps in urban mobility

    Open Access•Laëtitia Gauvin, Michele Tizzoni et al.•ARTICLE•Humanities and Social Sciences…•2020

    Mobile phone data have been extensively used to study urban mobility. However, studies based on gender-disaggregated large-scale data are still lacking, limiting our understanding of gendered aspects of urban mobility and our ability to design policies for gender equality. Here we study urban mobility from a gendered perspective, combining commercial and open datasets for the city of Santiago, Chile. We analyze call detail records for a large coh…

  • Data-driven micromobility network planning for demand and safety

    Open Access•Pietro Folco, Laëtitia Gauvin et al.•ARTICLE•Environment and Planning B Urban…•2023

    Developing safe infrastructure for micromobility like bicycles or e-scooters is an efficient pathway towards climate-friendly, sustainable, and livable cities. However, urban micromobility infrastructure is typically planned ad-hoc and at best informed by survey data. Here, we study how data of micromobility trips and crashes can shape and automatize such network planning processes. We introduce a parameter that tunes the focus between demand-bas…

  • Disruptions in Music Listening Behaviors During Lockdowns

    Open Access•Pierre Gallinari Safar, Laëtitia Gauvin et al.•ARTICLE•Proceedings of the International…•2025

    This study examines how individual music listening behaviors evolved during the COVID-19 lockdowns in France, focusing on both listening volumes and rhythms. We combine passively collected individual listening history data, provided by a music streaming service and covering the 2019-2023 period, with survey data collected from the same users (n ≈ 10000). Using the Dynamic Time Warping method, we develop a typology of listening trajectories during…

Business (2 works) · Computer Science (2 works) · Economics (2 works) · Engineering (2 works) · Transport engineering (2 works) · TRIPS architecture (2 works) · Urban Transport and Accessibility (2 works) · Active listening (1 work) · Building Energy and Comfort Optimization (1 work) · Communication (1 work)

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