scholarly journals Crossing at a Red Light: Behavior of Cyclists at Urban Intersections

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Xiaobao Yang ◽  
Mei Huan ◽  
Bingfeng Si ◽  
Liang Gao ◽  
Hongwei Guo
Keyword(s):  
Waiting Time ◽  
Traffic Safety ◽  
Red Light ◽  
Personal Characteristics ◽  
Effective Measure ◽  
Red Light Running ◽  
Normal Crossing ◽  
Unfavorable Condition ◽  
Internal And External Factors ◽  
The Relationship

To investigate the relationship between cyclist violation and waiting duration, the red-light running behavior of nonmotorized vehicles is examined at signalized intersections. Violation waiting duration is collected by video cameras and it is assigned as censored and uncensored data to distinguish between normal crossing and red-light running. A proportional hazard-based duration model is introduced, and variables revealing personal characteristics and traffic conditions are used to describe the effects of internal and external factors. Empirical results show that the red-light running behavior of cyclist is time dependent. Cyclist’s violating behavior represents positive duration dependence, that the longer the waiting time elapsed, the more likely cyclists would end the wait soon. About 32% of cyclists are at high risk of violation and low waiting time to cross the intersections. About 15% of all the cyclists are generally nonrisk takers who can obey the traffic rules after waiting for 95 seconds. The human factors and external environment play an important role in cyclists’ violation behavior. Minimizing the effects of unfavorable condition in traffic planning and designing may be an effective measure to enhance traffic safety.

scholarly journals Evaluation of Automated Enforcement Program in Amman

2018 ◽  
Author(s):  
Hana Naghawi ◽  
Bushra Al Qatawneh ◽  
Rabab Al Louzi
Keyword(s):  
Traffic Safety ◽  
Questionnaire Survey ◽  
Positive Impact ◽  
Red Light ◽  
Crash Frequency ◽  
Red Light Running ◽  
Red Light Cameras ◽  
Percent Confidence Level ◽  
Before And After ◽  
Traffic Violations

This study aims, in a first attempt, to evaluate the effectiveness of using the Automated Enforcement Program (AEP) to improve traffic safety in Amman, Jordan. The evaluation of the program on crashes and violations was examined based on a “before-and-after” study using the paired t-test at 95 percent confidence level. Twenty one locations including signalized intersections monitored by red light cameras and arterial roads monitored by excessive speed cameras were selected. Nine locations were used to study the effectiveness of the program on violations, and twelve locations were used to determine the effectiveness of the program on frequency and severity of crashes. Data on number and severity of crashes were taken from Jordan Traffic Institution. Among the general findings, it was found that the AEP was generally associated with positive impact on crashes. Crash frequency was significantly reduced by up to 63%. Crash severities were reduced by up to 62.5%. Also, traffic violations were significantly reduced by up to 66%.  Finally, drivers’ opinion and attitude on the program was also analyzed using a questionnaire survey. The questionnaire survey revealed that 35.5% of drivers are unaware of AEP in Amman, 63.9% of drivers don’t know the camera locations, most drivers knew about excessive speed and red light running penalties, most drivers reduce their speed at camera locations, 44.4% of drivers think that the program satisfies its objective in improving traffic safety and 52% of drivers encourage increasing the number of camera devices in Amman.

Using Focus Groups to Investigate Issues of Red Light Running

2000 ◽  
Vol 1734 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Leanne M. Wissinger ◽  
Joseph E. Hummer ◽  
Joseph S. Milazzo
Keyword(s):  
Law Enforcement ◽  
Focus Groups ◽  
Traffic Safety ◽  
Traffic Engineering ◽  
Red Light ◽  
The United States ◽  
Red Light Running ◽  
Grace Period ◽  
The Public ◽  
Red Light Cameras

Red light running (RLR) has been an important issue among transportation officials seeking to make intersections safer for drivers and pedestrians. Many cities in the United States have started programs aimed at reducing the number of red light violations, and many of these programs include the use of automated enforcement utilizing a camera to record violations. Previous research on such enforcement has quantified the rate of its public acceptance through surveys; however, little research has been performed probing the reactions and concerns of the public toward red light cameras. For this study, focus groups were used to investigate the attitudes, beliefs, and perceptions of the public toward RLR and red light cameras. Fifteen focus groups were held throughout North Carolina with representatives from organizations interested in and knowledgeable about traffic safety, traffic engineering, and traffic law enforcement, as well as with people not professionally involved in law enforcement or traffic engineering. Some of the focus group discussions involved such issues as determining an appropriate RLR grace period, developing an educational campaign, addressing financial issues, and determining appropriate penalties for RLR violations. Participants voiced their opinions on both sides of the issues; for instance, many participants said they strongly believed there should be some sort of grace period with automated enforcement, whereas others said they felt a zero-tolerance policy should be used. Also, many participants voiced their unequivocal support for automated enforcement, whereas others expressed concerns.

scholarly journals Discrimination of Effects between Directional and Nondirectional Information of Auditory Warning on Driving Behavior

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Yuting Zhang ◽  
Xuedong Yan ◽  
Zhuo Yang
Keyword(s):  
Reference Group ◽  
Red Light ◽  
Warning System ◽  
Driving Behavior ◽  
Signalized Intersections ◽  
Directional Information ◽  
Red Light Running ◽  
Collision Warning ◽  
The Relationship ◽  
Auditory Warning

This study examines the impacts of directional and nondirectional auditory warning information in a collision warning system (CWS) on driving behavior. The data on driving behavior is collected through experiment, with scenarios containing unexpected hazard events that include different warning content. As drivers approached the collision event, either a CWS auditory warning was given or no warning was given for a reference group. Discriminant analysis was used to investigate the relationship between directional auditory warning information and driving behavior. In the experiment, the CWS warnings significantly reduced brake reaction time and prompted drivers to press the brake pedal more heavily, demonstrating the effectiveness of CWS warnings in alerting drivers to avoid red-light running (RLR) vehicles when approaching a signalized intersection. Providing a clear warning with directional information about an urgent hazard event could give drivers adequate time to prepare for the potential collision. In terms of deceleration, a directional information warning was shown to greatly help drivers react to critical events at signalized intersections with more moderate braking. From these results, requirements can be derived for the design of effective warning strategies for critical intersections.

scholarly journals Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Fan Zhang ◽  
Chenchen Kuai ◽  
Huitao Lv ◽  
Wenhao Li
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Unobserved Heterogeneity ◽  
Red Light ◽  
Multinomial Logit Model ◽  
Time Of Day ◽  
Signalized Intersections ◽  
Traffic Light ◽  
Safety Level ◽  
Red Light Running

The red-light running (RLR) behaviors of urban mixed e-bike groups (delivery and ordinary e-bike) have become the main cause of traffic accidents at signalized intersections. The primary purpose of this study is to identify influencing factors of e-bike riders’ RLR behaviors, focusing on the role of delivery e-bike riders in mixed e-bike rider groups. Crossing behaviors of 4,180 e-bike samples (2006 delivery e-bikes and 2174 ordinary e-bikes) at signalized intersections are observed in Xi’an, China. The random parameter multinomial logit model is employed to capture the unobserved heterogeneous effects, and the effects of interaction terms are also considered. The results indicate that delivery e-bike riders are more likely to run red lights than ordinary e-bike riders. E-bike type, riders’ age, waiting position, traffic volume, traffic light type, and time of day are associated with crossing behaviors in urban mixed e-bike groups. In addition, the variable of traffic light status is found to account for unobserved heterogeneity. Findings are indicative to the development of effective implications in improving e-bikes’ traffic safety level at signalized intersections.

scholarly journals A Reliability-Based Analysis of Bicyclist Red-Light Running Behavior at Urban Intersections

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Mei Huan ◽  
Xiaobao Yang
Keyword(s):  
Waiting Times ◽  
Red Light ◽  
Video Recording ◽  
Personal Characteristics ◽  
Proportional Hazard ◽  
Red Light Running ◽  
Reliability Models ◽  
Traffic Conditions ◽  
Covariate Effects ◽  
Cox Hazard Model

This paper describes the red-light running behavior of bicyclists at urban intersections based on reliability analysis approach. Bicyclists’ crossing behavior was collected by video recording. Four proportional hazard models by the Cox, exponential, Weibull, and Gompertz distributions were proposed to analyze the covariate effects on safety crossing reliability. The influential variables include personal characteristics, movement information, and situation factors. The results indicate that the Cox hazard model gives the best description of bicyclists’ red-light running behavior. Bicyclists’ safety crossing reliabilities decrease as their waiting times increase. There are about 15.5% of bicyclists with negligible waiting times, who are at high risk of red-light running and very low safety crossing reliabilities. The proposed reliability models can capture the covariates’ effects on bicyclists’ crossing behavior at signalized intersections. Both personal characteristics and traffic conditions have significant effects on bicyclists’ safety crossing reliability. A bicyclist is more likely to have low safety crossing reliability and high violation risk when more riders are crossing against the red light, and they wait closer to the motorized lane. These findings provide valuable insights in understanding bicyclists’ violation behavior; and their implications in assessing bicyclists’ safety crossing reliability were discussed.

scholarly journals Waiting Endurance Time Estimation of Electric Two-Wheelers at Signalized Intersections

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Mei Huan ◽  
Xiao-bao Yang
Keyword(s):  
Motor Vehicle ◽  
Waiting Times ◽  
Red Light ◽  
Wait Time ◽  
Time Estimation ◽  
Personal Characteristics ◽  
Signalized Intersections ◽  
Normal Crossing ◽  
Phase Time ◽  
Time Motor

The paper proposed a model for estimating waiting endurance times of electric two-wheelers at signalized intersections using survival analysis method. Waiting duration times were collected by video cameras and they were assigned as censored and uncensored data to distinguish between normal crossing and red-light running behavior. A Cox proportional hazard model was introduced, and variables revealing personal characteristics and traffic conditions were defined as covariates to describe the effects of internal and external factors. Empirical results show that riders do not want to wait too long to cross intersections. As signal waiting time increases, electric two-wheelers get impatient and violate the traffic signal. There are 12.8% of electric two-wheelers with negligible wait time. 25.0% of electric two-wheelers are generally nonrisk takers who can obey the traffic rules after waiting for 100 seconds. Half of electric two-wheelers cannot endure 49.0 seconds or longer at red-light phase. Red phase time, motor vehicle volume, and conformity behavior have important effects on riders’ waiting times. Waiting endurance times would decrease with the longer red-phase time, the lower traffic volume, or the bigger number of other riders who run against the red light. The proposed model may be applicable in the design, management and control of signalized intersections in other developing cities.

The next generation: Experiences of higher educated Turkish-Dutch on The Hague labour market

2014 ◽  
Vol 11 (2) ◽  
pp. 206-217
Author(s):  
Karijn G. Nijhoff
Keyword(s):  
Higher Education ◽  
Qualitative Study ◽  
Labour Market ◽  
Education System ◽  
Minority Groups ◽  
Personal Characteristics ◽  
Market Positioning ◽  
The Hague ◽  
The Relationship ◽  
Dutch City

This paper explores the relationship between education and labour market positioning in The Hague, a Dutch city with a unique labour market. One of the main minority groups, Turkish-Dutch, is the focus in this qualitative study on higher educated minorities and their labour market success. Interviews reveal that the obstacles the respondents face are linked to discrimination and network limitation. The respondents perceive “personal characteristics” as the most important tool to overcoming the obstacles. Education does not only increase their professional skills, but also widens their networks. The Dutch education system facilitates the chances of minorities in higher education through the “layering” of degrees. 

The (Mis) Education of Immigrant Children in Today’s America

2019 ◽  
Vol 5 (2) ◽  
pp. 32
Author(s):  
Gabriela E. Gui
Keyword(s):  
General Education ◽  
Immigrant Students ◽  
Geographical Location ◽  
Personal Characteristics ◽  
Immigrant Children ◽  
Playing Field ◽  
Survey Interviews ◽  
The Individual ◽  
The Relationship ◽  
General Education Classrooms

In today’s America, not every child starts on a level playing field, and very few children move ahead based solely on hard work or talent. Generational poverty and a lack of cultural capital hold many students back, robbing them of the opportunity to move up professionally and socially. Children of immigrants are especially at-risk because, in addition to facing poverty, race, geographical location or economic disadvantages, they are also confronted with failure due to their limited or non-existent English proficiency. This study focuses on the degree to which teachers in a mid-sized urban school district take into consideration the individual needs of immigrant children in the process of their education. The study also examines the preparation teachers have had to equip them with knowledge of best practices in teaching immigrant children, and the relationship between teachers’ practices, beliefs, and their demographic and personal characteristics (age, gender, years of experience, level of education, etc.). Quantitative data was collected via a survey. Interviews with teachers and one central office administrator provided data for the qualitative section of the study. The findings revealed that teachers, in general, appeared to lack knowledge of specific policies for mainstreaming immigrant students into general education classrooms; their use of effective teaching practices for working with immigrant children were limited; and most of the teachers had not participated actively in professional development that focused on teaching immigrant children.

Sign in / Sign up

Export Citation Format

Share Document