Multimodal injury risk analysis of road users at signalized and non-signalized intersections

2014 ◽  
Vol 71 ◽  
pp. 201-209 ◽  
Author(s):  
Jillian Strauss ◽  
Luis F. Miranda-Moreno ◽  
Patrick Morency
Keyword(s):  
Risk Analysis ◽  
Injury Risk ◽  
Signalized Intersections ◽  
Road Users

scholarly journals Contrasting Perspectives on the Comfort and Safety of Pedestrians Interacting with Other Road Users

2021 ◽  
Vol 2675 (3) ◽  
pp. 33-43
Author(s):  
Alexander Bigazzi ◽  
Gurdiljot Gill ◽  
Meghan Winters
Keyword(s):  
Traffic Safety ◽  
Injury Risk ◽  
Road User ◽  
Motor Vehicles ◽  
Advisory Group ◽  
User Interactions ◽  
The Public ◽  
Road Users ◽  
Expert Assessments ◽  
Sample Representation

Assessments of interactions between road users are crucial to understanding comfort and safety. However, observers may vary in their perceptions and ratings of road user interactions. The objective of this paper is to examine how perceptions of yielding, comfort, and safety for pedestrian interactions vary among observers, ranging from members of the public to road safety experts. Video clips of pedestrian interactions with motor vehicles and bicycles were collected from 11 crosswalks and shown to three groups of participants (traffic safety experts, an engaged citizen advisory group, and members of the general public) along with questions about yielding, comfort, and risk of injury. Experts had similar views of yielding and comfort to the other two groups, but a consistently lower assessment of injury risk for pedestrians in the study. Respondent socio-demographics did not relate to perceptions of yielding, comfort, or risk, but self-reported travel habits did. Respondents who reported walking more frequently rated pedestrian comfort as lower, and respondents who reported cycling more frequently rated risk as lower for pedestrian interactions with both motor vehicles and bicycles. Findings suggest small groups of engaged citizens can provide useful information about public perspectives on safety that likely diverge from expert assessments of risk, and that sample representation should be assessed in relation to travel habits rather than socio-demographics.

Injury Risk Analysis as Input to Farm Insurance Ratings

1992 ◽  
Vol 35 (3) ◽  
pp. 765-772 ◽  
Author(s):  
W. Zhao ◽  
G. H. Hetzel ◽  
F. E. Woeste
Keyword(s):  
Risk Analysis ◽  
Injury Risk

Analysis of Spontaneous Order of Pedestrian–Vehicle Conflicts at Signalized Intersections

2020 ◽  
Vol 2674 (11) ◽  
pp. 440-454
Author(s):  
Abhinav Kumar ◽  
Indrajit Ghosh
Keyword(s):  
Signalized Intersections ◽  
Spontaneous Order ◽  
Traffic Data ◽  
Linear Regression Models ◽  
Urban Networks ◽  
Group Type ◽  
Road Users ◽  
Binary Logit ◽  
Physical Barriers ◽  
Major Factors

Unsafe interactions among road users are often seen on the urban networks of India. The conventional transportation planning method deals with this problem by segregating different modes to minimize intermodal conflicts. However, another school of thought recommends that spaces should be designed to ensure minimum segregation between road users by removing physical barriers and eliminating rules. Once the rules are lifted, road users become attentive to their surroundings, and therefore spontaneous order emerges. The main objective of this study is to explore the yielding behavior of road users during conflicts and analyze the spontaneous order developed at intersections. Traffic data was collected from 12 signalized intersections in India. A total of 1,785 conflicts between pedestrians and vehicles were observed during peak hours at the intersection locations. The modal dominance was examined for whether a pedestrian yields to a vehicle or vice versa. Two multiple linear regression models were developed to analyze the effect of various factors (speed and volume of pedestrians and vehicles, and size of intersection) on the number of conflicts and the proximity of conflicts. The dominance of pedestrians and vehicles was predicted with the help of the binary logit model. The model results suggested that vehicle volume, type of vehicle, noncompliance with signals by pedestrians, number of pedestrians crossing in a group, type of pedestrian–vehicle interaction, and size of intersection are some of the major factors that are significant predictors of the dominance of road users.

scholarly journals Modeling and Application of Pedestrian Safety Conflict Index at Signalized Intersections

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Wei Cheng ◽  
Ning Zhang ◽  
Wei Li ◽  
Jianfeng Xi
Keyword(s):  
Safety Evaluation ◽  
Pedestrian Safety ◽  
Evaluation Study ◽  
Signalized Intersections ◽  
Safety Level ◽  
Intersection Safety ◽  
Road Users ◽  
Traffic Conflict ◽  
Vulnerable Road Users ◽  
The City

Traffic conflict between turning vehicles and pedestrians is the leading cause of pedestrian fatalities at signalized intersections. In order to provide a solution for evaluating intersection safety for vulnerable road users, this paper first determines the most important factors in analyzing pedestrian-vehicle conflict and puts forward a pedestrian safety conflict index (SCI) model to establish a quantitative standard for safety evaluation of two- or multiphase intersections. A safety level system is then designed based on SCI to help categorize and describe the safety condition of intersections applicable to the model. Finally, the SCI model is applied to the evaluation of two intersections in the city of Changchun, the result of which complies with expectation, indicating the model’s potential in providing an improved approach for pedestrian-vehicle conflict evaluation study.

Occupant injury risk analysis at NASS/CDS database

2017 ◽  
Vol 18 (5) ◽  
pp. 851-860
Author(s):  
Hyung Yun Choi ◽  
Jaeho Shin ◽  
Chang Jin Oh ◽  
Jin Ho Bae
Keyword(s):  
Risk Analysis ◽  
Injury Risk ◽  
Occupant Injury

scholarly journals Willingness-To-Pay for Estimation the Risk Pedestrian Group Accident Cost

2020 ◽  
Vol 6 (6) ◽  
pp. 1064-1073 ◽  
Author(s):  
Chompoonut Puttawong ◽  
Preeda Chaturabong
Keyword(s):  
Willingness To Pay ◽  
Injury Risk ◽  
Road Accident ◽  
Road Accidents ◽  
The Road ◽  
Statistical Life ◽  
Perception Of Safety ◽  
Road Users ◽  
Pedestrian Injury ◽  
The Cost

The proven willingness-to-pay with contingent valuation (WTP-CV) method is an effective tool for evaluating the cost of road accidents in many countries. In Thailand, the most fatalities on Thailand’s roads involve the vulnerable road users (VRUs) including motorcycle users, bicyclists, and pedestrians. With the effectiveness of using WTP-CV in analyzing the accident cost of motorcycle users and lack of specific accident cost for pedestrians, this research focuses on evaluating the accident cost on the pedestrians which is the second most VRU fatality. In this research, the road accident cost of pedestrians aged 15-39 years in Bangkok by WTP-CV method was determined. The WTP-CV questionnaire was employed as a tool to measure the payment of which each pedestrian is willing to pay to reduce the fatality and injury risk from road accidents. One thousand and two hundred pedestrians in Bangkok were interviewed. With the results, the value of statistical life (VOSL) for pedestrians in Bangkok is valued at US$ 0.43 million, while the value of statistical injury (VOSI) is estimated at about US$ 0.014 million, respectively. In addition, it is found from the regression analysis that for the fatality risk reduction, higher educational levels and private business pedestrians are likely to pay more to save their lives. In order to reduce the risk of injury, respondents, who are single in marriage status, are likely to pay more to reduce the risk of pedestrian injury. However, a high perception of safety is less likely to pay for the reduction of injury risk.

scholarly journals A Model to Predict Children’s Reaction Time at Signalized Intersections

Safety ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 22 ◽  
Author(s):  
Irena Ištoka Otković
Keyword(s):  
Neural Network ◽  
Reaction Time ◽  
Correlation Coefficient ◽  
Reaction Times ◽  
Signalized Intersections ◽  
Traffic Conditions ◽  
Road Users ◽  
Time Test ◽  
Reaction Time Test ◽  
Real Traffic

Traffic accident statistics in urban areas, both locally in Croatia and at the European level, identify children as a group of vulnerable road users. The analysis of the parameters that influence the interaction of child pedestrians and other road users requires special attention. This paper presents the results of research about the reaction time of children, measured both in laboratory conditions, via a computer reaction time test, and in actual traffic conditions. The results of the reaction time test in a situation with expected stimuli (a computer test) of children aged 6 to 10 years were compared with the results of the reaction time of adult traffic participants, drivers, who also took part in the computer test. Standard deviations of the reaction times between the control group (drivers, adults) and each subgroup of children were significantly different (p < 0.05). The results suggest that the largest developmental jump occurs between preschool children and first-grade children. In actual traffic conditions, the reaction time of children aged 4 to 16 years at the signalized intersection was measured. The model for predicting the reaction time of children in real traffic conditions was created using a neural network. The model prediction results matched well with the values measured in actual traffic conditions, for the observed intersection (correlation coefficient is 94.56%) and for the validation intersection (correlation coefficient is 92.29%). Parameters influencing children’s reaction times in real traffic conditions were identified by applying both statistical analysis and the neural network model developed. Using both methods, the same key distractors were identified—the movement of children in the group and the use of mobile phones. The case study was conducted at selected signalized intersections in the city of Osijek, Croatia.

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