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Data · collection · 2015

Comparative Analysis of Risky Behaviors of Electric Bicycles at Signalized Intersections

Listed in DataCite

Objective: The primary objective of this study was to compare the risky behaviors of e-bike, e-scooter, and bicycle riders as they were crossing signalized intersections.

Description

Methods

Pearson's chi-square test was used to identify whether there were significant differences in the risky behaviors among e-bike, e-scooter, and bicycle riders. Binary logit models were developed to evaluate how various variables affected the behaviors of 2-wheeled vehicle riders at signalized intersections. Field data collection was conducted at 13 signalized intersections in 2 cities (Nanjing and Kunming) in China.

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Results: Three different types of risky behaviors were identified, including stop beyond the stop line, riding in motorized lanes, and riding against traffic. Two-wheeled vehicle riders’ gender and age and traffic conditions were significantly associated with the behaviors of 2-wheeled vehicle riders at the selected signalized intersections. Conclusions: Compared to e-bike and bicycle riders, e-scooter riders are more likely to take risky behaviors.

More specifically, they are more likely to ride in motorized lanes and ride against traffic.

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Provenance · 2 source records, 15 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.c.199181912 d agoJSON v1
DataCite10.6084/m9.figshare.c.1991819.v112 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].fos:biological-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:biological-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:sociologysource · DataCiteconnector:datacite@1.0.0
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concepts[field].local:field:life-sciencesmapping · DataCitevocabulary-mapper@1.0.0keywords['Biological Sciences']
concepts[field].local:field:life-sciencesmapping · DataCitevocabulary-mapper@1.0.0keywords['Biological Sciences']
concepts[field].local:field:social-sciencemapping · DataCitevocabulary-mapper@1.0.0keywords['Sociology']
concepts[field].local:field:social-sciencemapping · DataCitevocabulary-mapper@1.0.0keywords['Sociology']
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