A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections

It is a dangerous behaviour for pedestrians and nonmotorized vehicles to cross intersections without waiting when they arrive at intersections during the red-light period. This paper investigates three typical signalized major-major intersections in the center of Beijing, by collecting and analyzing 1368 samples of pedestrians and nonmotorized vehicles. A random parameter logit model (RPLM) is established, with immediate red-light running (IRLR) behaviour as the dependent variable. The results show that the number of people waiting upon arrival, number of people crossing upon arrival, traffic mode, motor vehicle phase upon arrival, and speed change upon arrival have significant effects on IRLR behaviour. Accordingly, we suggest enforcing education administration on cyclists to reduce cyclists’ IRLR behaviour. Thus, people’s red-light running (RLR) behaviour will further decrease with fewer cyclists’ IRLR behaviour.

[1]  D. Brownstone,et al.  Drivers' Willingness-to-Pay to Reduce Travel Time: Evidence from the San Diego I-15 Congestion Pricing Project , 2002 .

[2]  Stuart Newstead,et al.  Riding through red lights: the rate, characteristics and risk factors of non-compliant urban commuter cyclists. , 2011, Accident; analysis and prevention.

[3]  Kenneth E. Train,et al.  Discrete Choice Methods with Simulation , 2016 .

[4]  S. Washington,et al.  Statistical and Econometric Methods for Transportation Data Analysis , 2010 .

[5]  Xinkai Wu,et al.  Estimation of red-light running frequency using high-resolution traffic and signal data. , 2017, Accident; analysis and prevention.

[6]  C. Bhat.  Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences , 2003 .

[7]  Kunnawee Kanitpong,et al.  Influences of motorcycle rider and driver characteristics and road environment on red light running behavior at signalized intersections. , 2018, Accident; analysis and prevention.

[8]  Deepti Muley,et al.  Analysis of illegal pedestrian crossing behavior on a major divided arterial road , 2018 .

[9]  K. Lipovac,et al.  The influence of a pedestrian countdown display on pedestrian behavior at signalized pedestrian crossings , 2013 .

[10]  Ziyou Gao,et al.  A hazard-based duration model for analyzing crossing behavior of cyclists and electric bike riders at signalized intersections. , 2015, Accident; analysis and prevention.

[11]  Stefano Tamburin,et al.  Psychological Considerations in the Assessment and Treatment of Pain in Neurorehabilitation and Psychological Factors Predictive of Therapeutic Response: Evidence and Recommendations from the Italian Consensus Conference on Pain in Neurorehabilitation , 2016, Front. Psychol..

[12]  Changxu Wu,et al.  The effects of sunshields on red light running behavior of cyclists and electric bike riders. , 2013, Accident; analysis and prevention.

[13]  John M. Rose,et al.  Applied Choice Analysis: A Primer , 2005 .

[14]  Suren Chen,et al.  Injury severities of truck drivers in single- and multi-vehicle accidents on rural highways. , 2011, Accident; analysis and prevention.

[15]  Florian Heiss,et al.  Discrete Choice Methods with Simulation , 2016 .

[16]  Zhuping Zhou,et al.  Crossing Behaviors of Pedestrians at Signalized Intersections: Observational Study and Survey in China , 2011 .

[17]  A. Moudon,et al.  The risk of pedestrian injury and fatality in collisions with motor vehicles, a social ecological study of state routes and city streets in King County, Washington. , 2011, Accident; analysis and prevention.

[18]  A. DeMaris,et al.  Interpreting Logistic Regression Results: A Critical Commentary , 1990 .

[19]  Fred L Mannering,et al.  A note on modeling vehicle accident frequencies with random-parameters count models. , 2009, Accident; analysis and prevention.

[20]  D. Yagil.  Beliefs, motives and situational factors related to pedestrians' self-reported behavior at signal-controlled crossings , 2000 .

[21]  Xiaoxiang Ma,et al.  Investigating the Differences of Single-Vehicle and Multivehicle Accident Probability Using Mixed Logit Model , 2018 .

[22]  Stuart Newstead,et al.  Why do cyclists infringe at red lights? An investigation of Australian cyclists' reasons for red light infringement. , 2013, Accident; analysis and prevention.

[23]  Yanyong Guo,et al.  Exploring unobserved heterogeneity in bicyclists' red-light running behaviors at different crossing facilities. , 2018, Accident; analysis and prevention.

[24]  M. Hamed.  Analysis of pedestrians’ behavior at pedestrian crossings , 2001 .

[25]  Kung-Jong Lui,et al.  An application of a conditional logistic regression to study the effects of safety belts, principal impact points, and car weights on drivers' fatalities , 1988 .

[26]  Hongwei Guo,et al.  Reliability Analysis of Pedestrian Safety Crossing in Urban Traffic Environment , 2012 .

[27]  Mohamed Abdel-Aty,et al.  An accelerated failure time model for investigating pedestrian crossing behavior and waiting times at signalized intersections. , 2015, Accident; analysis and prevention.

[28]  Robert G Thom,et al.  LOW-COST OPPORTUNITIES FOR MAKING CITIES BICYCLE-FRIENDLY BASED ON A CASE STUDY ANALYSIS OF CYCLIST BEHAVIOR AND ACCIDENTS (WITH DISCUSSION AND CLOSURE) , 1992 .

[29]  Robert E. Caves,et al.  The development of a more risk-sensitive and flexible airport safety area strategy: Part II. Accident location analysis and airport risk assessment case studies , 2009 .

[30]  W. Horrey,et al.  The effect of conformity tendency on pedestrians' road-crossing intentions in China: an application of the theory of planned behavior. , 2009, Accident; analysis and prevention.

[31]  Wei Wang,et al.  Development of a Real-Time Crash Risk Prediction Model Incorporating the Various Crash Mechanisms Across Different Traffic States , 2015, Traffic injury prevention.

[32]  Fred L Mannering,et al.  Highway accident severities and the mixed logit model: an exploratory empirical analysis. , 2008, Accident; analysis and prevention.

[33]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .

[34]  Samuel Labi,et al.  Empirical Assessment of the Likelihood and Duration of Highway Project Time Delays , 2012 .

[35]  Zhongxiang Feng,et al.  Exploring factors affecting pedestrians' red-light running behaviors at intersections in China. , 2016, Accident; analysis and prevention.

[36]  Fred L Mannering,et al.  An empirical assessment of fixed and random parameter logit models using crash- and non-crash-specific injury data. , 2011, Accident; analysis and prevention.

[37]  Tova Rosenbloom,et al.  Crossing at a red light: Behaviour of individuals and groups , 2009 .

[38]  Lillian Cohen,et al.  Statistical Methods for Social Scientists. , 1954 .

[39]  D. W. Roncek.  Using Logit Coefficients to Obtain the Effects of Independent Variables on Changes in Probabilities , 1991 .

[40]  Kelvin K W Yau,et al.  Risk factors affecting the severity of single vehicle traffic accidents in Hong Kong. , 2004, Accident; analysis and prevention.

[41]  Alexandra Willis,et al.  Effects of installing a marked crosswalk on road crossing behaviour and perceptions of the environment , 2012 .

[42]  Kui Yang,et al.  Impact of data aggregation approaches on the relationships between operating speed and traffic safety. , 2018, Accident; analysis and prevention.

[43]  Chih-Wei Pai,et al.  Cyclists' red-light running behaviours: an examination of risk-taking, opportunistic, and law-obeying behaviours. , 2014, Accident; analysis and prevention.

[44]  Federico Fraboni,et al.  Social Influence and Different Types of Red-Light Behaviors among Cyclists , 2016, Front. Psychol..

[45]  Feng Chen,et al.  Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data. , 2018, Journal of safety research.

[46]  Changxu Wu,et al.  The red-light running behavior of electric bike riders and cyclists at urban intersections in China: an observational study. , 2012, Accident; analysis and prevention.

[47]  Fred L. Mannering,et al.  Right Turns on Green and Pedestrian Level of Service: Statistical Assessment , 2009 .