Exploring the impacts of built environment on pedestrian injury severity involving distracted driving

2021 ◽  
Author(s):  
Nazmul Arefin Khan ◽  
Muhammad Ahsanul Habib
Keyword(s):  
Built Environment ◽  
Injury Severity ◽  
Distracted Driving ◽  
Pedestrian Injury

scholarly journals Considering built environment and spatial correlation in modeling pedestrian injury severity

2017 ◽  
Vol 19 (1) ◽  
pp. 88-93 ◽  
Author(s):  
Carlo G. Prato ◽  
Sigal Kaplan ◽  
Alexandre Patrier ◽  
Thomas K. Rasmussen
Keyword(s):  
Built Environment ◽  
Spatial Correlation ◽  
Injury Severity ◽  
Pedestrian Injury

Modeling Vehicle Collision Injury Severity Involving Distracted Driving: Assessing the Effects of Land Use and Built Environment

2019 ◽  
Vol 2673 (7) ◽  
pp. 181-191 ◽  
Author(s):  
Mahmudur Rahman Fatmi ◽  
Muhammad Ahsanul Habib
Keyword(s):  
Land Use ◽  
High Risk ◽  
Built Environment ◽  
Injury Severity ◽  
Low Risk ◽  
Distracted Driving ◽  
Allocation Model ◽  
Vehicle Occupant ◽  
Occupant Injury ◽  
Curved Road

This paper presents the findings of the vehicle occupant injury severity model, particularly focusing on the collisions involving distracted driving. The study develops a latent segmentation-based logit model for analyzing crash injury severity utilizing police-reported collision data from 2007 to 2011 in Nova Scotia, Canada. A segment allocation model is estimated to capture latent heterogeneity based on individual victims’ and drivers’ profiles, and collision attributes including vehicle type, vehicle trajectory, collision object, and collision type. The segment allocation model results suggest the existence of high-risk and low-risk injury severity segments. This study extensively tests the effects of built environment characteristics. The model results suggest that rain, curved road, freeway, and mid-block collisions aggravate vehicle occupant injury severity; whereas, higher land use mix, longer length of sidewalk, and higher population density mitigate injury severity. Significant heterogeneity is found across the high- and low-risk segments. For instance, straight road alignment is found to yield higher injury severity in the high-risk segment and lower severity in the low-risk segment. Moreover, the model unveils the interplay between built environment and distraction type. Driver distraction by communication device increases injury severity at a curved road intersection. Additionally, distraction because of inattentiveness increases injury severity. The findings of this study assist road safety engineers and planners to identify effective countermeasures and awareness programs for reducing the crash injury severity or consequences for vehicle occupants.

scholarly journals Effects Influencing Pedestrian–Vehicle Crash Frequency by Severity Level: A Case Study of Seoul Metropolitan City, South Korea

Safety ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 25
Author(s):  
Seung-Hoon Park ◽  
Min-Kyung Bae
Keyword(s):  
Built Environment ◽  
Traffic Safety ◽  
Injury Severity ◽  
Small Sample Size ◽  
Pedestrian Safety ◽  
Small Sample ◽  
Traffic Characteristics ◽  
Effective Interventions ◽  
Pedestrian Injury ◽  
Vehicular Crashes

This study aimed to determine how built environments affect pedestrian–vehicle collisions. The study examined pedestrian–vehicular crashes that occurred between 2013 and 2015 in Seoul, Korea, by comparing and analyzing different effects of the built environment on pedestrian–vehicle crashes. Specifically, the study analyzed built environment attributes, land use environment, housing types, road environment, and traffic characteristics to determine how these factors affect the severity of pedestrian injury. The results of the statistical analysis appear to infer that the built environment attributes had dissimilar impacts on pedestrian collisions, depending on the injury severity. In general, both incapacitating and non-incapacitating injuries appear to be more likely to be caused by the built environment than fatal and possible injuries. These results highlight the need to consider injury severity when implementing more effective interventions and strategies for ensuring pedestrian safety. However, because of the small sample size, an expanded research project regarding this issue should be considered, as it would contribute to the development and implementation of effective policies and interventions for pedestrian safety in Korea. This study therefore offers practical information regarding the development of such an expanded study to inform future traffic safety policies in Seoul to establish a “safe walking city.”

Age and pedestrian injury severity in motor-vehicle crashes: A heteroskedastic logit analysis

2008 ◽  
Vol 40 (5) ◽  
pp. 1695-1702 ◽  
Author(s):  
Joon-Ki Kim ◽  
Gudmundur F. Ulfarsson ◽  
Venkataraman N. Shankar ◽  
Sungyop Kim
Keyword(s):  
Injury Severity ◽  
Motor Vehicle ◽  
Motor Vehicle Crashes ◽  
Logit Analysis ◽  
Vehicle Crashes ◽  
Pedestrian Injury

scholarly journals Exploring the Determinants of the Severity of Pedestrian Injuries by Pedestrian Age: A Case Study of Daegu Metropolitan City, South Korea

2020 ◽  
Vol 17 (7) ◽  
pp. 2358 ◽  
Author(s):  
Seung-Hoon Park ◽  
Min-Kyung Bae
Keyword(s):  
Land Use ◽  
Injury Severity ◽  
Binary Logistic Regression ◽  
Vehicle Crashes ◽  
Pedestrian Injury ◽  
Moving Vehicles ◽  
Pedestrian Injuries ◽  
Serious Injury ◽  
Pedestrian Crashes ◽  
Age Range

Pedestrian-vehicle crashes can result in serious injury to pedestrians, who are exposed to danger when in close proximity to moving vehicles. Furthermore, these injuries can be considerably serious and even lead to death in a manner that varies depending on the pedestrian’s age. This is because the pedestrian’s physical characteristics and behaviors, particularly in relation to roads with moving vehicles, differ depending on the pedestrian’s age. This study examines the determinants of pedestrian injury severity by pedestrian age using binary logistic regression. Factors in the built environment, such as road characteristics and land use of the places where pedestrian crashes occurred, were considered, as were the accident characteristics of the pedestrians and drivers. The analysis determined that the accident characteristics of drivers and pedestrians are more influential in pedestrian-vehicle crashes than the factors of the built environmental characteristics. However, there are substantial differences in injury severity relative to the pedestrian’s age. Young pedestrians (aged under 20 years old) are more likely to suffer serious injury in school zones; however, no association between silver zones and injury severity is found for elderly pedestrians. For people in the age range of 20–39 years old, the severity of pedestrian injuries is lower in areas with more crosswalks and speed cameras. People in the age range of 40–64 years old are more likely to be injured in areas with more neighborhood streets and industrial land use. Elderly pedestrians are likely to suffer fatal injuries in areas with more traffic signals. This study finds that there are differences in the factors of pedestrian injury severity according to the age of pedestrians. Therefore, it is suggested that concrete and efficient policies related to pedestrian age are required to improve pedestrian safety and reduce pedestrian-vehicle crashes.

Sign in / Sign up

Export Citation Format

Share Document