Understanding school zone driving behavior using structural equation modeling based on the extended theory of planned behavior

Ensuring child safety in school zones is a critical concern for urban transport planning. This study evaluates safety measures in various school zones in Lahore, Pakistan, and examines driver behavior in relation to children’s safety. A questionnaire was designed based on the extended Theory of Planned Behavior (TPB). Using convenience sampling in selected school zones, 480 drivers were interviewed. Data were analyzed using Exploratory Factor Analysis (EFA) to identify the factor structure, followed by Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) to validate and test the hypothesized model. The results revealed that Attitude (ATT), Subjective Norms (SN), Perceived Behavioral Control (PBC), and Mindfulness (MF) were positively associated with drivers’ intentions to reduce speed in school zones, whereas Awareness Responsibility (AR) showed a significant negative association, indicating that awareness alone, without enforcement or engineering supports, may not translate into safer intentions. Driver characteristics such as age, education, driving experience, and gender were also significant. These insights provide valuable guidance for transport planners and policymakers to improve safety measures for children in school zones. The findings contribute to a broader understanding of driver behavior and its implications for road safety research.

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Publication Details

Journal
Discover Cities
Published
2025-11-19
DOI
https://doi.org/10.1007/s44327-025-00157-0
Citations
1
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
1.30
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Understanding school zone driving behavior using structural equation modeling based on the extended theory of planned behavior

Irfan Ahmad Rana, Maryam Shabbir, Muhammad Azhar, Altaf Hussain et al.
1 citations
Discover Cities
Traffic and Road Safety
1.30
article

Understanding school zone driving behavior using structural equation modeling based on the extended theory of planned behavior

Irfan Ahmad Rana, Maryam Shabbir, Muhammad Azhar, Altaf Hussain, Muhammad Hakim Khan, Alishba Saqib
article en
1 citations

Abstract

Ensuring child safety in school zones is a critical concern for urban transport planning. This study evaluates safety measures in various school zones in Lahore, Pakistan, and examines driver behavior in relation to children’s safety. A questionnaire was designed based on the extended Theory of Planned Behavior (TPB). Using convenience sampling in selected school zones, 480 drivers were interviewed. Data were analyzed using Exploratory Factor Analysis (EFA) to identify the factor structure, followed by Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) to validate and test the hypothesized model. The results revealed that Attitude (ATT), Subjective Norms (SN), Perceived Behavioral Control (PBC), and Mindfulness (MF) were positively associated with drivers’ intentions to reduce speed in school zones, whereas Awareness Responsibility (AR) showed a significant negative association, indicating that awareness alone, without enforcement or engineering supports, may not translate into safer intentions. Driver characteristics such as age, education, driving experience, and gender were also significant. These insights provide valuable guidance for transport planners and policymakers to improve safety measures for children in school zones. The findings contribute to a broader understanding of driver behavior and its implications for road safety research.

Discover CitiesVol. 2(1)
University of Engineering and Technology Lahore (PK), National University of Technology (PK), Tokyo Metropolitan University (JP)
Openalex Percentile: Top 15%
Traffic and Road Safety
1.30
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Understanding school zone driving behavior using structural equation modeling based on the extended theory of planned behavior — Irfan Ahmad Rana, Maryam Shabbir, et al. · Discover Cities (2025) | TGRS Research Map | TGRS