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Enregistrement W2768051080 · doi:10.5075/epfl-thesis-7957

Living Without a Car : A Canada-France Comparative Outlook

2017· article· en· W2768051080 sur OpenAlexaboutno aff
Dominic Villeneuve

Notice bibliographique

RevueInfoscience (Ecole Polytechnique Fédérale de Lausanne) · 2017
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueUrban Transport and Accessibility
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFeelingSocial exclusionDestinationsResidencePublic transportAffect (linguistics)Qualitative researchSociologySocial psychologyGeographySocioeconomicsPolitical scienceDemographic economicsPsychologySocial scienceEconomicsDemographyLawTourism

Résumé

récupéré en direct d'OpenAlex

This research explores the links between social exclusion, car dependence and public policies for members of non-motorized households who are potentially socially excluded. It is at the crossroads of urban sociology, public policy and transport geography. Comparing urban areas in North America and Europe, it comprises two case studies: Quebec City in Canada and Strasbourg in France. Using a mixed methods approach, I combine qualitative and quantitative research tools to examine how the interactions of various policies, levels of car dependence, urban planning and land use affect mobility-related social exclusion with special attention to gender-based differences. The analysis is based on official origin-destination survey data from both urban areas, semi-directed interviews within non-motorized households and with public servants, and policy documents. I find that the factors causing non-motorized households to feel socially excluded are similar on both sides of the Atlantic. Mobility-related social exclusion can be associated with the fact of having to find an alternative to the car in order to reach certain destinations. Relying on the bus is often experienced as inconvenient, linked to long waiting times, having to leave early during evening outings and making detours instead of using a direct route. Such feelings made many of the study participants feel excluded. Participants who felt socially excluded commonly mentioned feeling left out of the political process and not listened to during public consultations. Some participants also felt excluded for not having a driver's licence, especially in France. Non-motorized households revealed that aggressive behaviour by motorists or their refusal to share the road with alternative mobility users were a further factor leading to social exclusion. Finally, judgmental comments by others who literally could not understand how they could live without a car - or who thought they didn't have one because of drunk driving or poverty - was also associated with social exclusion in my sample. The study participants often felt that owning a car had negative repercussions on their independence, as it comes with financial burdens, including car payments, vehicle repairs and maintenance. They reported feeling liberated from such burdens, as well as from logistical grievances like finding a parking spot or moving the car during snow removal, thus presenting a point of view not often explored in the literature. The public servants considered that some of the population was car-dependent, which made the implementation of restrictive measures on the car challenging. When discussing policy solutions, the main challenge brought up by civil servants were urban sprawl and political aspects related to urban planning. The policies in place to address transport and social exclusion contained three distinct sets of discourses. They either discussed social aspects, legal aspects, or mobility and land planning aspects. Each level of government had its own different focus, but car dependence per se was almost completely absent from policy documents, and most causes of mobility-related social exclusion were not addressed.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,174
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0030,002
Communication savante0,0010,001
Science ouverte0,0020,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,325
Écart entre enseignants0,298 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2017
Routes d'admission1
Résumé présentoui

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