A Street-Specific Analysis of Level of Traffic Stress Trends in Strava Bicycle Ridership and its Implications for Low-Stress Bicycling Routes in Toronto
This study uses Strava bicycling data to investigate network level patterns of bicycle ridership in Toronto, Canada based on Level of Traffic Stress (LTS). We found that most bicycling occurred on a small fraction of the network, with just 10% of all roads and paths accounting for 75% of all bicycle...
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| Format: | Article |
| Language: | English |
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Findings Press
2024-01-01
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| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.92109 |
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| author | Amreen A. Imrit Jaimy Fischer Timothy C. Y. Chan Shoshanna Saxe Madeleine Bonsma-Fisher |
| author_facet | Amreen A. Imrit Jaimy Fischer Timothy C. Y. Chan Shoshanna Saxe Madeleine Bonsma-Fisher |
| author_sort | Amreen A. Imrit |
| collection | DOAJ |
| description | This study uses Strava bicycling data to investigate network level patterns of bicycle ridership in Toronto, Canada based on Level of Traffic Stress (LTS). We found that most bicycling occurred on a small fraction of the network, with just 10% of all roads and paths accounting for 75% of all bicycle kilometres travelled in 2022. Low-stress routes (LTS 1 and LTS 2) were more popular than high-stress routes for the top 80% most popular streets. The majority of bicycle kilometres travelled (84%) in LTS 2 occurred on routes with no bicycle infrastructure, highlighting the importance of quiet residential streets in forming a low-stress bike network. Despite high-stress conditions, some LTS 3 and LTS 4 streets were heavily used, suggesting infrastructure gaps in Toronto's bicycle network. |
| format | Article |
| id | doaj-art-863ec751ecb94b148dc9896db9d62a9a |
| institution | DOAJ |
| issn | 2652-8800 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Findings Press |
| record_format | Article |
| series | Findings |
| spelling | doaj-art-863ec751ecb94b148dc9896db9d62a9a2025-08-20T02:40:10ZengFindings PressFindings2652-88002024-01-0110.32866/001c.92109A Street-Specific Analysis of Level of Traffic Stress Trends in Strava Bicycle Ridership and its Implications for Low-Stress Bicycling Routes in TorontoAmreen A. ImritJaimy FischerTimothy C. Y. ChanShoshanna SaxeMadeleine Bonsma-FisherThis study uses Strava bicycling data to investigate network level patterns of bicycle ridership in Toronto, Canada based on Level of Traffic Stress (LTS). We found that most bicycling occurred on a small fraction of the network, with just 10% of all roads and paths accounting for 75% of all bicycle kilometres travelled in 2022. Low-stress routes (LTS 1 and LTS 2) were more popular than high-stress routes for the top 80% most popular streets. The majority of bicycle kilometres travelled (84%) in LTS 2 occurred on routes with no bicycle infrastructure, highlighting the importance of quiet residential streets in forming a low-stress bike network. Despite high-stress conditions, some LTS 3 and LTS 4 streets were heavily used, suggesting infrastructure gaps in Toronto's bicycle network.https://doi.org/10.32866/001c.92109 |
| spellingShingle | Amreen A. Imrit Jaimy Fischer Timothy C. Y. Chan Shoshanna Saxe Madeleine Bonsma-Fisher A Street-Specific Analysis of Level of Traffic Stress Trends in Strava Bicycle Ridership and its Implications for Low-Stress Bicycling Routes in Toronto Findings |
| title | A Street-Specific Analysis of Level of Traffic Stress Trends in Strava Bicycle Ridership and its Implications for Low-Stress Bicycling Routes in Toronto |
| title_full | A Street-Specific Analysis of Level of Traffic Stress Trends in Strava Bicycle Ridership and its Implications for Low-Stress Bicycling Routes in Toronto |
| title_fullStr | A Street-Specific Analysis of Level of Traffic Stress Trends in Strava Bicycle Ridership and its Implications for Low-Stress Bicycling Routes in Toronto |
| title_full_unstemmed | A Street-Specific Analysis of Level of Traffic Stress Trends in Strava Bicycle Ridership and its Implications for Low-Stress Bicycling Routes in Toronto |
| title_short | A Street-Specific Analysis of Level of Traffic Stress Trends in Strava Bicycle Ridership and its Implications for Low-Stress Bicycling Routes in Toronto |
| title_sort | street specific analysis of level of traffic stress trends in strava bicycle ridership and its implications for low stress bicycling routes in toronto |
| url | https://doi.org/10.32866/001c.92109 |
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