Analysis of Driver’s Socioeconomic Characteristics Relating to Speeding Behavior and Crash Involvement: A Case Study in Lahore

Abstract

Speeding is one of the risky behaviors which results in accident involvement causing fatalities and severe injuries. This paper aimed to identify the significant socio-economic characteristics of drivers concerning their speeding behavior and crash involvement. A questionnaire was designed consisting of driver’s demographic features, involvement in an accident, penalty on speed violations, and statements on speeding behavior in terms of exceeding the speed limits by 10 km/h or more on roads with different speed limits of 60, 80, 100, and 120 km/h per standard operating speeds on various road types in Pakistan. This survey was conducted in Lahore city and a total of 551 usable samples were obtained. A latent variable of drivers’ speeding behavior was introduced; factor loadings were estimated, and an observed variable of drivers’ crash experience was defined as the drivers’ crash involvement. Ordered regression analysis using the probit function was conducted on speeding behavior and crash involvement. The ordinal analysis revealed that the drivers’ age, gender, marital status, employment, vehicle engine size, type of vehicle they drive, and driving frequency per day are good predictors of speeding behavior. Similarly, male drivers’ age, vehicle engine size, and type of vehicle they drive were significant predictors of their likelihood to be involved in an accident. The young, single, and male drivers and drivers of cars with an engine capacity above 1.5 L were more likely to speed and be involved in crashes. These findings provide a clear understanding of a specific group of drivers who have a higher probability of speeding and crash involvement. There is a need to focus on specific demographic factors in the formulation of traffic safety policies and managing speedy drivers’ behaviors.

Self-Reported Speed Compliance and Drivers Speeding Behaviour in Cameroon

“…Contrary to most findings, a study in Lahore, Pakistan, using the TPB, found that certain attitudes had a negative association with speeding intentions, while subjective norms and traffic enforcement awareness were positively correlated [36].…”

Factors Affecting Crash Severity among Elderly Drivers: A Multilevel Ordinal Logistic Regression Approach

“…We can attribute this finding to higher noncompliance with the rules of the road. Previous studies have shown that higher noncompliance with road-design requirements is associated with more severe crashes [17,[35][36][37].…”

“…Previous studies have indicated that there is a relationship between drivers' socioeconomic demographics (SEDs) and their likelihood of being involved in speeding behavior and traffic crashes [17]. Different age-groups are associated with distinct psychological and physiological features that affect how they react to unexpected situations (e.g., a traffic accident) [18].…”

The statistical assessment of the traffic situation based on sample data of traffic accidents in the urban agglomeration

“…In the course of studying the types, causes, factors and conditions contributing to the occurrence of traffic accidents, it was found that most deaths occur as a result of collisions and collisions with pedestrians. In scientific papers [11], one of the main factors affecting the severity of the consequences of the traffic accident is considered -exceeding the speed limit. Drivers often exceed the speed limit to reduce time, not perceiving and underestimating the possible consequences.…”