Cycling in Toronto: Route Choice Behavior and Implications to Infrastructure Planning
Notice bibliographique
Résumé
This research investigates the route choice behavior of cyclists in the City of Toronto using data collected from a smartphone application deployed to a large number of cyclists in the City. A total 4,556 cyclists registered for this study and logged over 30,000 commuting trips and 9,600 recreational trips over a study period of 9 months. The routes of individual cycling trips were estimated by a map-matching algorithm using second-by-second GPS readings of each trip and Toronto’s cycling road network. Personal information such as age, gender and residence, work or school place was collected from the participants on a voluntary basis. The collected cycling trip data were used to estimate path-size logit route choice models – variant of multinomial logit model for both commuting and recreational trips with various modeling options and combinations of candidate factors. The estimations of the models were evaluated using various performance measures and statistical tests, resulting in findings and conclusions on the optimal modeling structure, the factors that had statistical significant effects on cyclists’ routing decisions and the magnitude of these effects. \nThe modeling results revealed the critical importance of cycling facilities such as bicycle lanes, multiuse pathways and trails on cyclists’ route choice decisions. It was shown that directness as measured by travel distance is the most important factor considered by commuting cyclists in making their route choices. It was also found that cyclists prefer cycling along major streets than local streets and do not mind traveling along transit routes. Furthermore, they tend to choose routes with more bicycle facilities especially dedicated off-street facilities. Comparing to recreational trips, the routes chosen for commuting were in general closer to the routes of minimum distance and energy consumption. In contrast, for recreational trips, cyclists were less concerned about the directness or the degree of challenges of the routes. For these trips, cyclists appeared to place safety at a higher priority instead of time as they showed a higher preference to dedicated bike facilities such as bike lanes and off-street bike paths than on-street mixed facility. Weather and personal attributes were not found to be statistical significant in affecting cyclists’ route choices. These along with other findings from this thesis research have provided valuable information for Toronto’s ongoing effort on bicycle network planning. The results could also be used to enhance route-finding tools available to cyclists for improved cycling experience.
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 | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».