Evaluation of Pedestrian Signal Compliance on a Model Urban Corridor: A Case Study of Mall Road, Lahore (Pakistan)

Pedestrian safety remains a major concern in rapidly urbanizing cities of developing countries, where road traffic crashes constantly involve vulnerable road users. In Lahore, Pakistan, pedestrian facilities such as signalized crossings often underperform due to limited awareness, inadequate design, poor maintenance, and weak enforcement. This study evaluates pedestrian awareness, perception, and compliance with pedestrian signals along the Mall Road Corridor, a busy urban arterial serving diverse socio-economic groups. Data were collected through a self-administered questionnaire survey, yielding 600 valid responses. Descriptive statistics, Pearson correlation analysis, ordinal logistic regression, and factor analysis were employed to examine the influence of socio-demographic characteristics and perceived infrastructural attributes on pedestrian behavior. Results indicate that gender, age, education, employment status, and income significantly affect compliance with pedestrian signals. Factor analysis identified seven latent constructs related to compliance behavior, safety perception, signal placement, traffic conditions, perceived importance, and user satisfaction. Only 43% of respondents demonstrated full awareness of pedestrian signals, and 54% reported regular or occasional use. The findings highlight that in this perception-based study, both infrastructural quality and perceived safety strongly shape pedestrian compliance, underscoring the need for targeted design improvements and enforcement measures to enhance pedestrian safety in developing urban contexts.

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Publication Details

Journal
Future Transportation
Published
2026-02-12
DOI
https://doi.org/10.3390/futuretransp6010044
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
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article

Evaluation of Pedestrian Signal Compliance on a Model Urban Corridor: A Case Study of Mall Road, Lahore (Pakistan)

Muhammad Rizwan Tariq, Hina Saleemi, Muhammad Ashraf Javid, Giovanni Tesoriere et al.
Future Transportation
Traffic and Road Safety
article

Evaluation of Pedestrian Signal Compliance on a Model Urban Corridor: A Case Study of Mall Road, Lahore (Pakistan)

Muhammad Rizwan Tariq, Hina Saleemi, Muhammad Ashraf Javid, Giovanni Tesoriere, Tiziana Campisi, Saadia Tabassum, Khurram Rehmani
article en

Abstract

Pedestrian safety remains a major concern in rapidly urbanizing cities of developing countries, where road traffic crashes constantly involve vulnerable road users. In Lahore, Pakistan, pedestrian facilities such as signalized crossings often underperform due to limited awareness, inadequate design, poor maintenance, and weak enforcement. This study evaluates pedestrian awareness, perception, and compliance with pedestrian signals along the Mall Road Corridor, a busy urban arterial serving diverse socio-economic groups. Data were collected through a self-administered questionnaire survey, yielding 600 valid responses. Descriptive statistics, Pearson correlation analysis, ordinal logistic regression, and factor analysis were employed to examine the influence of socio-demographic characteristics and perceived infrastructural attributes on pedestrian behavior. Results indicate that gender, age, education, employment status, and income significantly affect compliance with pedestrian signals. Factor analysis identified seven latent constructs related to compliance behavior, safety perception, signal placement, traffic conditions, perceived importance, and user satisfaction. Only 43% of respondents demonstrated full awareness of pedestrian signals, and 54% reported regular or occasional use. The findings highlight that in this perception-based study, both infrastructural quality and perceived safety strongly shape pedestrian compliance, underscoring the need for targeted design improvements and enforcement measures to enhance pedestrian safety in developing urban contexts.

Future TransportationVol. 6(1)
University of Engineering and Technology Lahore (PK), Università degli Studi di Enna Kore (IT), University of South Asia (PK), Sohar University (OM), University of Portsmouth (GB)
Openalex Percentile: Top 66%
Traffic and Road Safety
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