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Article dans une revue Transportation Research Interdisciplinary Perspectives Année : 2024

Cycling in the aftermath of COVID-19: An empirical estimation of the social dynamics of bicycle adoption in Paris

Résumé

The adoption of cycling as an alternative mode of transport to the car offers a promising strategy for tackling several pressing societal challenges, reducing the ecological costs of transport, improving individual health, as well as the quality of life in cities that are often congested by road traffic. We propose an original approach to measure in the context of a natural experiment the influence of social influence on individual intentions within the theory of interpersonal behaviour, by modelling explicitly the diffusion of cycling within the population. We consider the time period following the end of the first COVID-19-lockdown in May 2020 in Paris, France, and estimate a simple model of social imitation based on data from the City of Paris’ Open Data initiative, integrating also in our estimation geographical and temporal fixed-effects, as well as controls for the level of precipitation. We find that the increasing adoption of cycling between May and July 2020 can indeed be explained as the result of a new social dynamic tending to increase the switching rate between transport modes.
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Licence : Paternité - Pas d'utilisation commerciale - Pas de modification - CC BY 4.0
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Dates et versions

halshs-04603332, version 1 (06-06-2024)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification - CC BY 4.0

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Guilhem Lecouteux, Léonard Moulin. Cycling in the aftermath of COVID-19: An empirical estimation of the social dynamics of bicycle adoption in Paris. Transportation Research Interdisciplinary Perspectives, 2024, 25, pp.101115. ⟨10.1016/j.trip.2024.101115⟩. ⟨halshs-04603332⟩
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Dernière date de mise à jour le 23/06/2024
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