Effect of Various Speed Management Strategies on Bicycle Crashes for Urban Roads in Central Florida

Ugan, Jorge; Abdel-Aty, Mohamed; Cai, Qing; Mahmoud, Nada; Al-Omari, Ma’en Mohammad Ali

doi:10.1177/03611981211036681

Cited by 6 publications

(2 citation statements)

References 39 publications

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“…Therefore, the proportions of speeding exhibit a mixed distribution, wherein a continuous nonnegative random variable is combined with a probability mass truncated at zero. One approach for modeling such mixed distributions is the hurdle model [28][29][30][31][32][33] , which introduces a threshold between positive and non-positive outcomes. Hurdle models have been successfully employed in previous studies related to traffic accidents.…”

Section: Grouped Random Effect Hurdle Beta Modelmentioning

confidence: 99%

Exploring the Influence of Drivers’ Visual Surroundings on Speeding Behavior

Ugan

Abdel-Aty

Islam

2023

Preprint

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Despite awareness campaigns and legal consequences, speeding is a significant cause of road accidents and fatalities globally,. To combat this issue, understanding the impact of a driver's visual surroundings is crucial in designing roadways that discourage speeding. This study investigates the influence of visual surroundings on drivers in 15 US cities using 3,407,253 driver view images from Lytx, covering 4,264 miles of roadways. By segmenting and analyzing these images along with vehicle-related variables, the study examines factors affecting speeding behavior. After filtering the images, to ensure an accurate representation of the driver’s view, 1,340,035 driver view images were used for analysis. Statistical models, including hurdle beta and bivariate probit models with random driver effects as well as Machine Learning’s eXtreme Gradient Boosting (XGBoost), were employed to estimate speeding behavior. The results indicate that factors within the driver's visual environment, weather conditions, and driver heterogeneity significantly impact speeding. Speeding behavior also varies across geographic locations, even within the same city, suggesting a connection between local context and speeding. The study highlights the importance of the driver's environment, showing that more open spaces encourage speeding, while areas with trees and buildings are associated with reduced speeding. Notably, this research differs from previous studies by utilizing real-time data from dash cameras, providing a dynamic and accurate representation of the driver's visual surroundings. This approach enhances the reliability of the findings and empowers transportation engineers and planners to make informed decisions when designing roadways and implementing interventions to address effectively excessive speeding. In addition to examining speeding behavior, the study also analyzes time-headway, a key factor affecting safety and risky driver behavior, to explore its relationship with speeding. The findings offer valuable insights into the factors influencing speeding and the driver's visual environment. These insights can inform efforts to create environments that discourage speeding (and close car following) and ultimately reduce severe accidents caused by excessive speed (and tailgating).

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Section: Grouped Random Effect Hurdle Beta Modelmentioning

confidence: 99%

Exploring the Influence of Drivers’ Visual Surroundings on Speeding Behavior

Ugan

Abdel-Aty

Islam

2023

Preprint

Self Cite

View full text Add to dashboard Cite

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“…Speed plays a role in nearly every traffic crash around the world and is the leading factor in 30-50% of crashes (WHO, 2018). If not taken into consideration, speed can compromise the quality of a cycle lane and put cyclists at risk (Isaksson-Hellman and Töreki, 2019;Ruiz-Padillo et al, 2021;Ugan et al, 2021).…”

Section: Speed Managementmentioning

confidence: 99%

Building Emergent Cycling Infrastructure During the COVID-19 Pandemic: The Case of Zapopan, México

Ohlund¹,

El-Samra²,

Amezola³

et al. 2022

Front. Sustain. Cities

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The COVID-19 pandemic has led to strict measures intended to limit people's movement and slow viral spread. The subsequent need for social distancing when traveling has driven many cities to reduce public transport services, as urban residents simultaneously stay at home and avoid crowded spaces. As a result, cities are turning to cycling to meet the mobility needs of their inhabitants, particularly those who lack access to a private vehicle. Infrastructure plays a critical role in encouraging cycling by protecting cyclists and providing safe and comfortable conditions for users of various confidence levels. Due to the pandemic, this infrastructure has been rapidly constructed, in many cases, as pop-up or temporary installations. In this article, we present and examine the design methods and community response to an emergent bike lane along Avenida Guadalupe in Zapopan, México during the COVID-19 pandemic. Through this examination, the paper distills and highlights the key features of a successful emergent bike lane in the urban Global South and identifies gaps in need of filling. The emergent intervention is 4.2 km and includes a number of traffic calming elements such as bollards and markings, connecting the peripheral part of the city to the existing cycle infrastructure. This case study shall contribute to a greater understanding of emergency mobility planning practices during crises such as the COVID-19 pandemic, as well as future directions for the expansion of cycling infrastructure and networks, especially in Latin America and the broader Global South.

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