Segment-Based Count Regression Geospatial Modeling of the Effect of Roadside Land Uses on Pedestrian Crash Frequency in Rural Roads

Saheli, Mahyar Vahedi; Effati, Meysam

doi:10.1007/s13177-020-00250-1

Cited by 9 publications

(3 citation statements)

References 33 publications

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“…These factors could potentially be available in preliminary studies, so we could incorporate them into regression models in future studies to draw more reliable conclusions, while also using them as descriptive variables in the connected vehicles environment ( 51 , 52 ). In addition, the obtained results provide insights into the severity of pedestrian-involved crashes that are caused by drivers experiencing sun glare ( 8 , 53 ).…”

Section: Discussionmentioning

confidence: 99%

Investigating the Probability of Potential Actions Performed by Drivers Experiencing Daytime Sun Glare-Induced Blindness

Koloushani

Kaya

Karaer

et al. 2023

Transportation Research Record: Journal of the Transportation R

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There has been extensive visual-disability-focused safety research resulting from various factors/conditions that have a significant impact on a driver’s ability to maneuver safely. One such critical condition among the major environmental issues that contribute to traffic crashes is daytime sun glare-induced temporary visual impairment. Nevertheless, the contribution of relevant factors to the choice of potential actions at the time of such crashes has not been widely studied. Approximately 3,000 crashes per year in the United States are attributed to sun glare, which may indicate that the driver had no control over the situation. Thus, this study investigated several factors to identify crashes that occurred, with acceptable certainty, under the direct influence of sun glare over 4 years (2014 to 2017) in Florida—“the Sunshine State.” A multinomial logistic regression model was developed to formulate relationships between crash-related contributing factors and to evaluate the likelihood of alternative actions being adopted by drivers experiencing sun glare. The results indicated that running red lights/stop signs was the most likely action one might take while experiencing this adverse condition, particularly on local roadways. A further consequence of sun glare is that drivers tend to follow the car in front too closely along segments with higher annual average daily traffic. The findings could help safety officials support the use of emerging intelligent transportation system technologies (i.e., automated traffic signal performance measures and cooperative intersection collision avoidance systems) to alert drivers of the possibility of a temporary vision impairment exactly when high-glare conditions exist.

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Section: Discussionmentioning

confidence: 99%

Investigating the Probability of Potential Actions Performed by Drivers Experiencing Daytime Sun Glare-Induced Blindness

Koloushani

Kaya

Karaer

et al. 2023

Transportation Research Record: Journal of the Transportation R

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“…Factors, such as high approach speed, low pedestrian traffic, overtaking, footpath encroachment, road width, land use, on-street parking, inadequate sight distance, illumination and pavement markings are associated with mid-block road fatalities. Saheli and Effati (2021) used count-based regression models to examine pedestrian accident frequency and road-side land uses on a rural multi-lane in Guilan province, Iran. Santhosh et al (2020) developed a Poisson's model to predict urban mid-block pedestrian accidents and their severity, including severe, mild and fatal injuries, on NH-66 in Thiruvananthapuram, India.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It was due to 75% to 80 % of total crashes being non-fatal; vehicles on road segments with commercial/ mixed land use interact more with other cars and pedestrians, leading to more injured crashes. Saheli and Effati (2021) conducted a comprehensive analysis of crash data in urban areas and found that residential and commercial land uses positively affect crash frequency. Their study suggests that mixed traffic, higher pedestrian volumes and increased vehicle interactions in these land-use types contribute to a higher incidence of crashes.…”

Section: Land Usementioning

confidence: 99%

Modeling of Risk Factors for Vulnerable Road Users’ Crashes on National Highways Passing through Medium-sized Indian Cities

Gandupalli

2024

JJCE

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The safety of vulnerable road users, such as pedestrians, bicyclists and motorised twowheelers, on national highways passing through urban areas has been a significant concern in developing countries like India. This study analyzes Visakhapatnam police crash data (2014-2017) to identify high-risk road segments to vulnerable road users. Establishing negative binomial models helps analyze risk variables for fatal and injury crashes concerning several susceptible road users on mid-block sections. Further, this study focuses on site-specific information collected from road-safety audits, speed, average daily traffic, length of road section and percentage of two-wheelers, also considered to fully help understand the likelihood of a crash. The statistical analysis of this paper identified the risk variables, like length of road segment, presence of service roads, land-use type (i.e., commercial/mixed land use), number of curves and average daily traffic associated with the incidence of fatal and injury crashes of vulnerable road users in Visakhapatnam city, India. The conclusions highlight the crucial safety measures that transportation planners and policymakers must take to create a more secure environment for road users. Keywords: Vulnerable road users, Mid-block sections, Negative binomial models, Crash, Count-data models, Safety measures.

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Two Decades of Geospatial Evolution: Tracing the Analytical Journey towards Data-Driven Road Crash Prevention

Soltani,

Mansourihanis,

RoohaniQadikolaei

et al. 2024

Appl. Spatial Analysis

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Segment-Based Count Regression Geospatial Modeling of the Effect of Roadside Land Uses on Pedestrian Crash Frequency in Rural Roads

Cited by 9 publications

References 33 publications

Investigating the Probability of Potential Actions Performed by Drivers Experiencing Daytime Sun Glare-Induced Blindness

Investigating the Probability of Potential Actions Performed by Drivers Experiencing Daytime Sun Glare-Induced Blindness

Modeling of Risk Factors for Vulnerable Road Users’ Crashes on National Highways Passing through Medium-sized Indian Cities

Two Decades of Geospatial Evolution: Tracing the Analytical Journey towards Data-Driven Road Crash Prevention

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