Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses

Abstract

The transport sector and the use of individual cars in particular are sources of negative externalities. Shared mobility could form a solution to this issue. This study contributes to a better understanding of the implementability of such a shared mobility by exploring the potential determinants of the use of carpooling and carsharing for commuting among a comprehensive set of socio-demographic, socio-economic, interpersonal and contextual variables. The analyses are based on a representative sample of 2002 workers living in the Paris region. Fisher's exact and Wilcoxon tests and multivariate logistic models were used to characterize the differences between carpoolers and carsharing users and to identify the correlates of mode use in our sample. We outline that the correlates differ between the two shared modes. Our models first highlight the importance of contextual variables: the use of carpooling mainly concerns people who live in rather deprived neighborhoods, while carsharing is overrepresented in well-to-do and denser neighborhoods. We identify the importance of mobility management policies within the workplace and the positive role of information. Having a carpooling service within the company is positively associated with carpooling for commuting. Regarding carsharing, the awareness of existing services (free-floating and peer-to-peer) is positively associated with carsharing use. Finally, the main originality of this study is the identification of the key role of the entourage (colleagues and/or family members) in both carpooling and carsharing. Public policies should therefore consider these results to exploit several levers to favor the use of shared modes in the Paris region.

The combination of e-bike-sharing and demand-responsive transport systems in rural areas: A case study of Velenje

“…Among the key issues is the better integration of modal networks through increasingly connected systems and multimodal connection platforms for passengers. Successful, environmentally friendly solutions include smart mobility ( Lyons, 2018 ), carpooling and carsharing ( Bulteau, Feuillet, & Dantan, 2019 ), enhancement of local transport ( McTigue, Rye, & Monios, 2020 ), integrated planning of transport modes ( Holz-Rau & Scheiner, 2019 ), apps and systems for infomobility ( Catalano & Migliore, 2014 ), the construction of new cycle paths ( Mayakuntla & Verma, 2018 ), toll and pricing policies ( Cavallaro, Giaretta, & Nocera, 2018 ), and electric mobility ( Lemme, Arruda, & Bahiense, 2019 ).…”

Peut-on se passer de la voiture hors des centres urbains ?

“…Les freins à la pratique du covoiturage domicile-travail, largement documentés (Ballet & Clavel, 2007 ;Vincent, 2008 ;Correia & Viegas, 2011 ;Créno, 2016 ;Bulteau, Feuillet & Dantan, 2019), sont notamment liés aux contraintes d'organisation, à la perte de temps et au sentiment d'une perte d'autonomie. S'organiser à l'avance, faire un détour, attendre son passager ou son conducteur, etc.…”

“…Toutefois, pour les déplacements domicile-travail supérieurs à vingt kilomètres, le taux de covoiturage dépasse 8 % (INDIGGO, 2015), autrement dit, quand la motivation financière devient plus forte que les contraintes d'organisation et de sentiment de perte de temps (Créno, 2016). De plus, avoir un service de covoiturage dans son entreprise est positivement associé à l'usage du covoiturage pour son trajet domicile-travail (Bulteau, Feuillet & Dantan, 2019). Le covoiturage domicile-travail aurait donc plus de chance de se développer pour des déplacements pendulaires longs et avec l'aide des entreprises (Ermans et al, 2018).…”

Correlations between Logistics and Infrastructure Digitalization and Gross Domestic Product Size

“…According to the survey conducted in Switzerland, the emergence of Car Sharing led to the decrease in private car trips by 35%, and the frequency of public transport use among residents participating in Car Sharing programs increased by 12% [5]. The survey conducted in France showed that users of Car Sharing services drove private cars less frequently and used public transport more often [10].…”

“…Thus, one can say that studies on the correlations between the GDP and indices characterizing the development of digital economy are relevant. Although, the researchers consider that the issues of the urban logistics and infrastructure digitalization remain insufficiently studied despite the fact that there are a number of publications devoted to the analysis of the use of car sharing, smart parking, and smart traffic management on highways [5,[7][8][9][10][11][12][13][14][15][16].…”