Understanding and measuring bicycling behavior : a focus on travel time and route choice, final report, December 2008.
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Summary
This study addresses the lack of empirical data regarding how bicycle infrastructure influences bicycling behavior in the United States, specifically focusing on route choice and travel time. Motivated by rising public health concerns such as obesity and heart disease, the research aims to understand why bicycling rates remain low despite the potential for short-distance utilitarian travel. The authors sought to fill a gap in existing literature by using objective, revealed preference data to analyze how cyclists navigate networks and how their choices differ from the shortest possible paths. The researchers employed Global Positioning System (GPS) technology to track the bicycling behavior of 164 adults in the Portland, Oregon region. Data collection occurred from March to November 2007, capturing trips made exclusively by bicycle. The participant sample consisted primarily of regular cyclists who rode more than one day per week year-round. The study analyzed four key areas: the frequency, purpose, and timing of rides; the deviation of actual routes from the shortest network distance; the factors influencing route choice, including personal attributes; and the comparative travel times between bicycling and driving. The findings reveal that participants averaged 1.6 trips and 6.2 miles per day, with the median trip distance being 2.8 miles. Utilitarian purposes dominated travel, with commuting accounting for 25% of trips, while only 5% were purely for exercise. Crucially, cyclists rarely took the shortest path. For trips under 10 miles, the median deviation from the shortest route was 0.24 miles, representing an additional 1.5 minutes of travel. This deviation reflected a strong preference for infrastructure: cyclists avoided arterials and highways without bike lanes, which constituted 36% of the shortest path routes but only 19% of observed travel. Instead, they prioritized streets with bike lanes, bicycle boulevards, and multi-use paths. Women and less experienced cyclists showed a stronger preference for low-traffic streets and boulevards over busier streets with lanes. Regarding travel time, bicycling was generally slower than driving, with an average difference of 13.4 minutes. However, for trips of three miles or less, the time difference was often under five minutes, making bicycling time-competitive for short distances. The study concludes that bicyclists actively value and utilize specific infrastructure, particularly low-traffic streets and separate paths, to avoid motor vehicle traffic. The authors suggest that well-connected networks of bicycle boulevards and paths may be more effective than lanes on busy arterials for encouraging cycling among women and novice riders. However, bike lanes remain important for experienced cyclists and for reducing travel times on major streets. The findings imply that urban policies promoting mixed land uses and high network connectivity can support bicycling by keeping trip distances short and competitive with automobile travel times.
Key finding
Cyclists prefer routes with dedicated infrastructure like bike lanes and paths over the shortest network distance, and bicycle travel times are on average 13.4 minutes longer than estimated auto travel times.
Methodology
naturalistic
Sample size: 164
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
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| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Empirical Findings: observational prevalence