Fear of Crime in Traffic: An Analysis of Gender-Based Perceptual Differences in the Case of İzmir

This study examines gender differences in fear of crime within traffic settings. To address the scarcity of traffic-specific research, we developed a 26-item Fear of Crime in Traffic Scale and surveyed 1,505 active drivers in İzmir (768 women; 737 men) using purposive and quota sampling. Exploratory factor analysis supported a three-factor structure—Perceived Individual Insecurity in Traffic, Fear Related to Vehicle Types, and Spatio-Temporal Perceptions of Safety—explaining 79.19% of the variance (KMO = .973; Bartlett p < .001). Reliability was high for the total scale (α = .96) and strong across subdimensions (α = .95, .90, .88). Given non-normal distributions, gender comparisons employed Mann–Whitney U tests. No significant gender differences emerged for Perceived Individual Insecurity (U = 271,314, z = −1.388, p = .165) or Spatio-Temporal Perceptions of Safety (U = 273,649, z = −1.118, p = .265). However, men scored higher on Fear Related to Vehicle Types (U = 250,234, z = −3.919, p < .001, r = .101). Item-level patterns indicate women report greater concern about sexual harassment and verbal abuse, while men report higher concerns tied to public/heavy vehicles and the perceived effectiveness of enforcement. These results nuance the gender–fear literature by showing that, in “mobile public spaces” like traffic, gendered threat perceptions vary by subdimension. The findings inform transportation safety by highlighting the need for gender-sensitive interventions that address both interpersonal risks and vehicle/structural risks.

Authors

Institutions

Publication Details

Journal
OPUS Toplum Araştırmaları Dergisi
Published
2025-09-28
DOI
https://doi.org/10.26466/opusjsr.1741867
Citations
1
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fear of Crime in Traffic: An Analysis of Gender-Based Perceptual Differences in the Case of İzmir

Mehmet DEMİRBAŞ, Ozan KAVSIRACI, Niyazi Umut Akıncıoğlu, Hasan Sencer Peker et al.
1 citations
OPUS Toplum Araştırmaları Dergisi
Crime Patterns and Interventions
4.20
article

Fear of Crime in Traffic: An Analysis of Gender-Based Perceptual Differences in the Case of İzmir

Mehmet DEMİRBAŞ, Ozan KAVSIRACI, Niyazi Umut Akıncıoğlu, Hasan Sencer Peker, Abdullah Çelik
article en
1 citations

Abstract

This study examines gender differences in fear of crime within traffic settings. To address the scarcity of traffic-specific research, we developed a 26-item Fear of Crime in Traffic Scale and surveyed 1,505 active drivers in İzmir (768 women; 737 men) using purposive and quota sampling. Exploratory factor analysis supported a three-factor structure—Perceived Individual Insecurity in Traffic, Fear Related to Vehicle Types, and Spatio-Temporal Perceptions of Safety—explaining 79.19% of the variance (KMO = .973; Bartlett p < .001). Reliability was high for the total scale (α = .96) and strong across subdimensions (α = .95, .90, .88). Given non-normal distributions, gender comparisons employed Mann–Whitney U tests. No significant gender differences emerged for Perceived Individual Insecurity (U = 271,314, z = −1.388, p = .165) or Spatio-Temporal Perceptions of Safety (U = 273,649, z = −1.118, p = .265). However, men scored higher on Fear Related to Vehicle Types (U = 250,234, z = −3.919, p < .001, r = .101). Item-level patterns indicate women report greater concern about sexual harassment and verbal abuse, while men report higher concerns tied to public/heavy vehicles and the perceived effectiveness of enforcement. These results nuance the gender–fear literature by showing that, in “mobile public spaces” like traffic, gendered threat perceptions vary by subdimension. The findings inform transportation safety by highlighting the need for gender-sensitive interventions that address both interpersonal risks and vehicle/structural risks.

OPUS Toplum Araştırmaları DergisiVol. 22(5)
Police Academy (TR)
Openalex Percentile: Top 6%
Crime Patterns and Interventions
4.20
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.

Fear of Crime in Traffic: An Analysis of Gender-Based Perceptual Differences in the Case of İzmir — Mehmet DEMİRBAŞ, Ozan KAVSIRACI, et al. · OPUS Toplum Araştırmaları Dergisi (2025) | TGRS Research Map | TGRS