Road Infrastructure Characteristics Associated with Jaywalking-Related Versus Legal-Crossing Pedestrian Injury Crashes in Abu Dhabi and Al Ain

Pedestrian crossing safety is influenced by the accessibility and configuration of road infrastructure; however, crash-based evidence on jaywalking-related events remains limited in Gulf countries. This retrospective case–case study compared police-recorded jaywalking-related and legal-crossing pedestrian injury crashes in Abu Dhabi and Al Ain. The dataset comprised 1548 crossing-pedestrian injury crashes recorded during 2012–2020: 1201 (77.58%) jaywalking-related and 347 (22.42%) legal-crossing crashes. Conventional binary logistic regression with forward selection was used after excluding outcome-linked variables, with Firth regression as an estimation-method sensitivity analysis. The final model identified adjusted associations with pedestrian crossing green time, numbers of crossing facilities within 200 m and 500 m, road type, road width, number of lanes, median width, posted speed limit, urban/rural setting, and lighting condition. Wide versus narrow roads had an adjusted odds ratio of 6.23 (95% confidence interval: 3.17–12.24). The conventional model had an apparent area under the receiver operating characteristic curve (AUC) of 0.86 and Nagelkerke’s pseudo-R2 of 0.409; a 1000-resample Firth-based sensitivity analysis yielded an optimism-corrected AUC of 0.84. These findings may inform infrastructure audits and pedestrian-safety planning, although estimates for sparse categories warrant caution. The associations are conditional on a police-recorded injury crash and should not be interpreted as causal effects or estimates of crash risk or jaywalking prevalence among the general pedestrian population.

Authors

Institutions

Publication Details

Journal
Infrastructures
Published
2026-10-16
DOI
https://doi.org/10.3390/infrastructures11100373
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Road Infrastructure Characteristics Associated with Jaywalking-Related Versus Legal-Crossing Pedestrian Injury Crashes in Abu Dhabi and Al Ain

Dina Mustafa Mohammad Awadalla, Ammar Hassan Alalkim Alzaabi
Infrastructures
Traffic and Road Safety
article

Road Infrastructure Characteristics Associated with Jaywalking-Related Versus Legal-Crossing Pedestrian Injury Crashes in Abu Dhabi and Al Ain

Dina Mustafa Mohammad Awadalla, Ammar Hassan Alalkim Alzaabi
article en

Abstract

Pedestrian crossing safety is influenced by the accessibility and configuration of road infrastructure; however, crash-based evidence on jaywalking-related events remains limited in Gulf countries. This retrospective case–case study compared police-recorded jaywalking-related and legal-crossing pedestrian injury crashes in Abu Dhabi and Al Ain. The dataset comprised 1548 crossing-pedestrian injury crashes recorded during 2012–2020: 1201 (77.58%) jaywalking-related and 347 (22.42%) legal-crossing crashes. Conventional binary logistic regression with forward selection was used after excluding outcome-linked variables, with Firth regression as an estimation-method sensitivity analysis. The final model identified adjusted associations with pedestrian crossing green time, numbers of crossing facilities within 200 m and 500 m, road type, road width, number of lanes, median width, posted speed limit, urban/rural setting, and lighting condition. Wide versus narrow roads had an adjusted odds ratio of 6.23 (95% confidence interval: 3.17–12.24). The conventional model had an apparent area under the receiver operating characteristic curve (AUC) of 0.86 and Nagelkerke’s pseudo-R2 of 0.409; a 1000-resample Firth-based sensitivity analysis yielded an optimism-corrected AUC of 0.84. These findings may inform infrastructure audits and pedestrian-safety planning, although estimates for sparse categories warrant caution. The associations are conditional on a police-recorded injury crash and should not be interpreted as causal effects or estimates of crash risk or jaywalking prevalence among the general pedestrian population.

InfrastructuresVol. 11(10)
United Arab Emirates University (AE)
Sustainable cities and communities, Industry, innovation and infrastructure, Good health and well-being
Openalex Percentile: Top 12%
Traffic and Road Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.