Exposure of Pedestrians and Cyclist to Air Pollution in the City
Notice bibliographique
Résumé
In society it is a popular belief that walking or cycling is healthy. Air quality studies conducted in many countries indicate a significant impact of route selection on exposure to air pollution, especially in highly urbanised areas. The research most often concerns dust pollution However, many studies do not analyze the composition of the molecules studied. As a result, these analyzes are quantitative rather than qualitative. One of the molecules that have a very harmful effect on the respiratory system is black carbon (BC) There are few studies focused specifically on BC that there is still a need for a large number of local analyzes to determine the spreading patterns of BC in the air in cities. Due to different climatic and meteorological conditions, different building infrastructure and road networks, as well as driving culture and social habits, it is worth conducting research in different countries and cities. In this study, we measured the concentration of BC on three routes within the city of Wrocaw (Poland) using microAeth / AE51 sensors in the period September-October 2021. The routes were 6-10 km long and ran along bicycle paths located differently in the city infrastructure: on the road as a separate lane, parallel to the road at various distances, through green areas, along the river. Measurements were performed in over 20 repetitions in order to eliminate weather conditions and temporally local peaks The results show a significant influence of the distance from the road to the bicycle path on the observed BC concentrations. Separating the bicycle path from the road with a several-meter green belt, other than the lawn, for example with bushes, significantly reduces the concentration of dust pollutants. The highest concentrations were observed at crossings and in tunnels under railway embankments. As expected, the lowest exposure was recorded while driving along the routes leading through urban green areas and along the river. The obtained data will be used to create models of the dependence of BC concentration on land use specification and meteorological conditions. It will be a continuation of research conducted in Wrocaw so far in only one location The research results can be used as guidelines for more efficient city planning in line with the concept of Transit-Oriented Development for more sustainable urban mobility
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».