Scooting to a New Era in Active Transportation: Examining the Use and Safety of E-Scooters
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Summary
This study investigates the integration of shared electric scooters (e-scooters) into urban transportation systems, addressing two primary research questions: how safely micro-mobility users interact with other modes across different infrastructure types, and whether e-scooters serve as substitutes, complements, or synergistic options for conventional transportation modes. The research was motivated by the rapid proliferation of e-scooters and the resulting policy challenges regarding safety, sidewalk obstruction, and their impact on active travel and public transit demand. The methodology employed a multi-pronged approach combining literature reviews, regulatory analysis, field observations, and user surveys. Researchers conducted systematic observations of non-optimal behaviors in Salt Lake City, Utah, utilizing a paired-site analysis to compare intersections with varying infrastructure features, such as bike lanes, light rail presence, and road widths. Additionally, the study analyzed data from a user survey conducted in Tucson, Arizona, prior to the COVID-19 pandemic. This survey examined mode substitution patterns and crash experiences, using logistic regression to estimate how demographics, trip purposes, and riding preferences influenced travel behavior and safety outcomes. Key findings from the Salt Lake City observations indicated that the presence of bike lanes correlated with lower rates of e-scooter riders using pedestrian sidewalks, although this effect diminished when light rail was present. Riders on wider roads significantly gravitated toward sidewalks, even when bike lanes were available, suggesting concerns about proximity to vehicle traffic. Distracted behaviors increased at intersections with bike lanes. Helmet usage was critically low, with only 2% of observed riders wearing helmets in both Salt Lake City and Tucson, despite 21% of Tucson survey respondents reporting occasional helmet use. The Tucson survey revealed distinct demographic and behavioral patterns regarding safety and mode substitution. Older riders (40–60 years) experienced fewer crashes than younger riders (<30 years). Preference for riding on sidewalks was associated with higher crash likelihood, whereas preference for bike lanes correlated with lower crash risk. Regarding mode substitution, e-scooters frequently generated new trips, particularly for recreational and restaurant activities. When substituting for transit, e-scooter use was more common among lower-income individuals and those over 60 years old, with demographics explaining more variation than trip purpose. Conversely, substitutions for active modes, vehicle modes, or no-trip scenarios were driven more significantly by trip purpose. Gender did not significantly influence mode substitution behaviors. These results highlight the complex interplay between infrastructure design, user demographics, and safety outcomes in emerging micro-mobility systems.
Key finding
E-scooter trips frequently substitute for public transit among older and lower-income users and generate new recreational travel, while infrastructure like bike lanes reduces sidewalk riding but may increase distracted behaviors.
Methodology
mixed_methods
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 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| 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