Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

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The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (14/14 displayed)

  • 2023Which incentives toward sustainable mobility solutions for medium and short distances in Ile-de-France?citations
  • 2023Encouraging carpooling for commuting in the Paris area (France): which incentives and for whom?20citations
  • 2023The impact of COVID-19 lockdown measures on gendered mobility patterns in France7citations
  • 2022What is the potential impact of the transition from traditional transport to new mobility models (electric automated minibuses) in European cities?citations
  • 2022The role of commuter rail accessibility in the formation of residential land values: exploring spatial heterogeneity in peri-urban and remote areas3citations
  • 2022Incentives for modal shift towards sustainable mobility solutions: A review ; Incitations au report modal vers des solutions de mobilité durable : un état de l’art3citations
  • 2021Economic Assessment of Services with Intelligent Autonomous Vehicles: EASI-AV5citations
  • 2021Encouraging carpooling for commuting in the Paris area (France): which incentives and for whom?20citations
  • 2021Modelling context-specific relationships between neighbourhood socioeconomic disadvantage and private car use4citations
  • 2019Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses48citations
  • 2019The role of accessibility in residential land values: what influence of railway stations in medium-and low-density areas?citations
  • 2017Enhancing sustainable mobility through a multimodal platform: would travellers pay for it?3citations
  • 2015Potential demand for multimodal information. Evidence from the Plateau-de-Saclaycitations
  • 2014Revisiting the bottleneck congestion model by considering environmental costs and a modal policy9citations

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Chart of shared publication
Le Boennec, Rémy
4 / 10 shared
Berrada, Jaâfar
1 / 11 shared
Salihou, Fawaz
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Abbes, Souhir
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Dantan, Sophie
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Feuillet, Thierry
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Tillous, Marion
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Torres, Esté
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Viere, Tobias
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Fournier, Guy
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Jaroudi, Inès
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Horschutz Nemoto, Eliane
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Dorien, Korbee
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Da Costa, Pascal
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Mira-Bonnardel, Sylvie
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Antonialli, Fabio
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Nicolaï, Isabelle
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Chart of publication period
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Co-Authors (by relevance)

  • Le Boennec, Rémy
  • Berrada, Jaâfar
  • Salihou, Fawaz
  • Abbes, Souhir
  • Dantan, Sophie
  • Feuillet, Thierry
  • Tillous, Marion
  • Torres, Esté
  • Viere, Tobias
  • Fournier, Guy
  • Jaroudi, Inès
  • Horschutz Nemoto, Eliane
  • Dorien, Korbee
  • Da Costa, Pascal
  • Mira-Bonnardel, Sylvie
  • Antonialli, Fabio
  • Nicolaï, Isabelle
OrganizationsLocationPeople

article

Modelling context-specific relationships between neighbourhood socioeconomic disadvantage and private car use

  • Dantan, Sophie
  • Feuillet, Thierry
  • Bulteau, Julie
Abstract

International audience ; Car use generates negative externalities, which are responsible for many health, environmental and economic problems. To tackle this issue, more work is needed to identify better the correlates of car use, especially at the contextual level. In this study, a mobility-focused questionnaire involving 1722 working French adults living in the Paris area (France) was used to explore gender-stratified relationships between residential socioeconomic deprivation and car use as the main transport mode against public transport, after controlling for potential confounders. While the vast majority of similar studies have assumed linear and global statistical relationships, the present work involved a random slope hierarchical generalised additive modelling framework, which revealed both non-linear and territorially-varying relationships. Among women, living in a more deprived neighbourhood was associated with an increase in the odds of reporting car use up to a certain threshold, after which the relationship plateaued, while among men, this relationship is linearly negative. In the most deprived department of the Paris region (Seine-Saint-Denis), living in a more deprived neighbourhood was associated with a lower odds of car use among men while a more complex nonlinear bell-shaped relationship was observed among women. The opposite was found in the wealthiest department (Yvelines), with a negative relationship among women and a U-shaped one among men. In Paris inner city, again a strong opposite trend was distinguished according to sex, with a negative relationship among women. These findings suggest that spatial contexts, characterised by complex interactions between socioeconomic factors, the built environment and the distance to Paris, play the role of moderators in the relationship between residential deprivation and car use. In conclusion, this study reinforces the idea that environment-transport relationships should be understood through local analyses (e.g. random slope multilevel or ...

Topics
  • neighborhood
  • gender
  • employed
  • geography
  • region
  • health
  • automobile
  • public transport
  • traffic mode
  • additive
  • modeling
  • questionnaire
  • city
  • humanities
  • adult
  • social science
  • socioeconomic factor
  • built environment

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