Incorporating car owner preferences for the introduction of economic incentives for speed limit enforcement

Sahebi, Sina; Nassiri, Habibollah; Wee, Bert van; Araghi, Yashar

doi:10.1016/j.trf.2019.05.014

Cited by 10 publications

(3 citation statements)

References 44 publications

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“…Hence, national distracted driving awareness campaigns would be influential in decreasing severe accidents [ 100 ]. Also, in-vehicle distraction and speeding detection devices in an incentive-based insurance program might influence declining those risky behaviors on the road [ 101 ]. Moreover, distracted driving was more frequent in less demanding conditions, namely, low traffic flow and high mean speed.…”

Section: Resultsmentioning

confidence: 99%

Investigating speed-safety association: Considering the unobserved heterogeneity and human factors mediation effects

Nassiri

Mohammadpour

2023

PLoS ONE

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The relationship between mean speed and crash likelihood is unclear in the literature. The contradictory findings can be attributed to the masking effects of the confounding variables in this association. Moreover, the unobserved heterogeneity has almost been criticized as a reason behind the current inconclusive results. This research provides an effort to develop a model that analyzes the mean speed-crash frequency relationship by crash severity and type. Also, the confounding and mediation effects of the environment, driver, and traffic-related attributes have been considered. To this end, the loop detector and crash data were aggregated daily for rural multilane highways of Tehran province, Iran, covering two years, 2020–2021. The partial least squares path modeling (PLS-PM) was employed for crash causal analysis along with the finite mixture partial least squares (FIMIX-PLS) segmentation to account for potential unobserved heterogeneity between observations. The mean speed was negatively and positively associated with the frequency of property damage-only (PDO) and severe accidents, respectively. Moreover, driver-related variables, including tailgating, distracted driving, and speeding, played key mediation roles in associating traffic and environmental factors with the crash risk. The higher the mean speed and the lower the traffic volume, the higher odds of distracted driving. Distracted driving was, in turn, associated with the higher vulnerable road users (VRU) accidents and single-vehicle accidents, triggering a higher frequency of severe accidents. Moreover, lower mean speed and higher traffic volume were positively correlated with the percentage of tailgating violations, which, in turn, predicted multi-vehicle accidents as the main predictor of PDO crash frequency. In conclusion, the mean speed effects on the crash risk are entirely different for each crash type through distinct crash mechanisms. Hence, the distinct distribution of crash types in different datasets might have led to current inconsistent results in the literature.

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Section: Resultsmentioning

confidence: 99%

Investigating speed-safety association: Considering the unobserved heterogeneity and human factors mediation effects

Nassiri

Mohammadpour

2023

PLoS ONE

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“…This concept was found to be effective compared with the concept of a single camera ( 68 ). Finally, improving drivers’ compliance with speed limits can be achieved not only by setting enforcement measures such as speed cameras but can be extended to include other measures such as improvement of road design and maintenance, setting a proper way for defining speed limits, technology solutions such as driver monitoring apps, and driver education ( 69 , 70 ).…”

Section: Discussionmentioning

confidence: 99%

Identifying Optimal Locations for Speed Enforcement Cameras

Mohammad

Eleimat²

2022

Transportation Research Record: Journal of the Transportation R

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Speed enforcement cameras are used to improve traffic safety. These cameras are usually placed in areas with significant crashes related to speeding. However, in many countries, detailed crash data are not available or are of poor quality. This study aims to propose and explore three simple ranking methods for identifying optimal locations for speed enforcement cameras that do not depend on crash records. The first method is based on the Star Rating Scores and the traffic volume data. The second method relies on developing a data-driven model for predicting speeding violation rate (VR) based on road geometry aspects and comparing it with available road segment crash risk. The third method uses a combination of the first two methods. The proposed methods and prediction models were applied to a case study and successfully identified the optimal location for speed enforcement cameras. The developed prediction models suggest that speed limit, junction spacing, and the number of access points per kilometer are the most common variables to estimate speed VRs for both urban and rural roads. Availability of service roads and the number of lanes were variables that affect the speed VR on urban roads only. The proposed methods are considered valuable simple tools for road safety practitioners to effectively prepare speed enforcement plans for different road networks.

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“…Previous research has been conducted on the effectiveness of incentive schemes, including monetary or non-monetary incentives, to promote various travel-related pro-social behaviors. For example, the promotion of greener charging choices for electric vehicle owners ( 15 ), restricting traveling by car in peak hours ( 16 , 17 ), encouraging car owners to comply with specified speed limits ( 18 ), promoting the avoidance of illegal parking of dockless shared bikes ( 19 ). Nevertheless, very little is known about how incentives work with trip situational factors on the yielding seat behavior on public transportation.…”

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confidence: 99%

The Impacts of Incentives on Seat Yielding Behavior on the Bus

Baig

Zhang

Chen

et al. 2022

Transportation Research Record: Journal of the Transportation R

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The global target to achieve inclusive public transportation includes the availability of courtesy seating for vulnerable individuals such as elderly people, people with disabilities, pregnant women, and children. The frequent usage of courtesy seats by passengers who are not vulnerable individuals is an issue pertaining to public transportation. It is important to encourage the travelers to yield seats in the presence of vulnerable individuals because the latter might get seriously injured by falling if they stay on a moving vehicle. This study explores the influence of incentives and situational factors affecting individuals’ decisions to yield seats to vulnerable people. Through an online questionnaire survey, 404 valid responses were obtained. The generalized linear mixed model (GLMM) with repeated measures was used to identify the influential factors affecting the self-reported decisions of yielding seats to vulnerable individuals. The results indicate that the situational factors (health, crowd, vulnerable passenger type, standing time after yielding seats), incentive types, and incentive amounts are significant factors affecting the decisions to yield seats. The study’s findings also indicate that travelers are more sensitive to people with disabilities and pregnant women than to elderly people and children. The practical implications, including campaigning, education interventions, and incentive-based mechanism, were suggested to encourage travelers to yield seats to vulnerable individuals.

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Incorporating car owner preferences for the introduction of economic incentives for speed limit enforcement

Cited by 10 publications

References 44 publications

Investigating speed-safety association: Considering the unobserved heterogeneity and human factors mediation effects

Investigating speed-safety association: Considering the unobserved heterogeneity and human factors mediation effects

Identifying Optimal Locations for Speed Enforcement Cameras

The Impacts of Incentives on Seat Yielding Behavior on the Bus

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