Active travel mode users: the least polluting, and the most annoyed by noise, air pollution and road insecurity? Article Swipe
Sarah Mahdjoub
,
Martine Hours
,
Luc Baumstark
,
Mohamed Mouloud Haddak
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.25578/rts_issn1951-6614_2018-04
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.25578/rts_issn1951-6614_2018-04
Objectif : L’exposition aux nuisances liées au trafic routier telles que le bruit, la pollution de l’air, les accidents de la route peut conduire à une gêne ou à un sentiment d’insécurité routière. La gêne est définie comme un sentiment de déplaisir associé à un agent ou une condition connu ou reconnu par un individu ou un groupe comme les affectant négativement, diminuant leur qualité de vie à long terme. L’insécurité routière est, quant à elle, reconnue comme affectant le bien-être. L’objectif de cette étude était d’identifier les déterminants (sociodémographiques, socioéconomiques, relatifs à la mobilité quotidienne) de la gêne liée au bruit, à la pollution de l’air, et du sentiment d’insécurité routière. Méthodes : 720 sujets, âgés de 18 ans et plus, vivant dans le département du Rhône (France) en 2013 ont été interrogés via un questionnaire soumis par téléphone. La gêne et le sentiment d’insécurité routière ont été estimés via une échelle en 10 points allant de 1 (pas gêné(e)) à 10 (fortement gêné(e)) pour chacune des nuisances, avec un seuil à 8. Résultats : Notre étude a révélé principalement que les usagers des modes doux sont ceux qui déclarés ressentir la plus forte gêne, et ce, quelle que soit la nuisance, comparé aux usagers des modes motorisés. Conclusions : Les moins polluants sont les plus gênés. Ces résultats sont vraiment intéressants. Les usagers des modes doux contribuent à une amélioration de la qualité de l’air, une réduction de la congestion du trafic et du risque d’accidents de la route, tout en améliorant la santé des populations. Dans un contexte de promotion des modes doux, ces usagers devraient être protégés contre une telle gêne, susceptible d’entraver le développement d’une telle pratique.
Related Topics
Concepts
Annoyance
Feeling
Context (archaeology)
Air quality index
Environmental health
Noise pollution
Air pollution
Road traffic
Socioeconomic status
Psychology
Geography
Transport engineering
Medicine
Engineering
Computer science
Social psychology
Population
Meteorology
Organic chemistry
Chemistry
Loudness
Noise reduction
Artificial intelligence
Archaeology
Audiology
Metadata
- Type
- preprint
- Language
- fr
- Landing Page
- https://hal.science/hal-01899822
- OA Status
- green
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2905117254
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2905117254Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.25578/rts_issn1951-6614_2018-04Digital Object Identifier
- Title
-
Active travel mode users: the least polluting, and the most annoyed by noise, air pollution and road insecurity?Work title
- Type
-
preprintOpenAlex work type
- Language
-
frPrimary language
- Publication year
-
2018Year of publication
- Publication date
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2018-01-01Full publication date if available
- Authors
-
Sarah Mahdjoub, Martine Hours, Luc Baumstark, Mohamed Mouloud HaddakList of authors in order
- Landing page
-
https://hal.science/hal-01899822Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.25578/rts_issn1951-6614_2018-04Direct OA link when available
- Concepts
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Annoyance, Feeling, Context (archaeology), Air quality index, Environmental health, Noise pollution, Air pollution, Road traffic, Socioeconomic status, Psychology, Geography, Transport engineering, Medicine, Engineering, Computer science, Social psychology, Population, Meteorology, Organic chemistry, Chemistry, Loudness, Noise reduction, Artificial intelligence, Archaeology, AudiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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