Evidence map›Paper›PMID 42130865›Full record

ArticleFrontiers in public health2026

Research on the cross-campus unsafe cycling behavior of university students based on cycling habits and risk perception.

Yingjie Wu, Tingting Hu, Zijun Liang

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yingjie WuShanghai Communications Polytechnic, Shanghai, China.
Tingting HuSchool of Urban Construction and Transportation, Hefei University, Hefei, China.
Zijun LiangSchool of Urban Construction and Transportation, Hefei University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cross-campus cycling among university students is increasingly common, yet unsafe cycling behaviors pose significant safety risks. Existing studies have rarely examined the combined roles of cycling habits and risk perception within a unified theoretical framework. This study aims to investigate the influencing mechanisms of unsafe cycling behavior among cross-campus university students based on an extended social-psychological model. An improved Theory of Planned Behavior (TPB) model incorporating cycling habits and risk perception was developed. A total of 492 valid questionnaires were collected from university students engaged in cross-campus travel. Structural Equation Modeling (SEM) was employed to test the proposed model and examine the relationships among variables. The results indicate that the improved TPB model shows significant associations with unsafe cycling behavior. Both cycling habits and risk perception exert direct and indirect effects within the model framework. Compared with the traditional TPB model, the improved model demonstrates a better fit and explains an additional 11% of the variance in behavior. These findings support the effectiveness and rationality of extending the TPB model to better understand unsafe cycling behavior. However, due to the cross-sectional design and reliance on self-reported data, causal relationships cannot be firmly established. The study provides practical insights for developing targeted interventions to improve cycling safety among university students.

Indexed as

BicyclingHabitsRisk-TakingSafetyStudentsAdolescentAdultCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesTheory of Planned BehaviorUniversitiesYoung Adultcross-campusstructural equation modelingtheory of planned behavioruniversity studentsunsafe cycling behavior

Identifiers

PMID42130865
PMCPMC13161115

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.