Modeling Pedestrian Crossing Behavior and Safety at Signalized Intersections

Pedestrian noncompliance behavior is one of the most critical causes of pedestrian involved traffic crashes at intersections in India. Thus, the objectives of this study are to examine how various factors affect pedestrian crossing behavior and to propose models for pedestrian crossing behavior and level of safety at signalized intersections which will be useful to regulate pedestrian flow. The data were collected with video and a user perceptions survey at six selected signalized intersections in Mumbai, India. The differences between pedestrian crossing behavior with respect to personal characteristics, socioeconomic attributes, and existing crossing facilities were identified using Pearson correlation and odd ratio tests. Furthermore, the major reasons for noncompliance behavior were obtained by analysis of field data to prevent noncompliance behavior and enhance pedestrian safety. The results showed that a significant number of the pedestrians violated the traffic signal to save time and for convenience (46%). A binary logit model was developed to evaluate the impacts of contributing factors on pedestrian crossing behavior. Further, an ordered probability model was established to evaluate and estimate the pedestrian level of safety at signalized intersections. Two models were validated, and their statistical results show that the models predict the pedestrian crossing behavior and safety level more precisely. Developed models and study outcomes can help transport planners and designers understand pedestrian crossing behavior on crosswalks at signalized intersections and thus create a safer crossing environment for all pedestrians.

[1]  P. Vedagiri,et al.  Modeling Pedestrian Level of Service at Signalized Intersection Under Mixed Traffic Conditions , 2017 .

[2]  Richard Wener,et al.  Mobile telephones, distracted attention, and pedestrian safety. , 2008, Accident; analysis and prevention.

[3]  Krsto Lipovac,et al.  Pedestrian Behavior at Signalized Pedestrian Crossings , 2013 .

[4]  P. Vedagiri,et al.  A new approach to estimate pedestrian delay at signalized intersections , 2016 .

[5]  Julie Hatfield,et al.  The effects of mobile phone use on pedestrian crossing behaviour at signalized and unsignalized intersections. , 2007, Accident; analysis and prevention.

[6]  G. Tiwari,et al.  Survival analysis: Pedestrian risk exposure at signalized intersections , 2007 .

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

[8]  Chawalit Tipagornwong,et al.  Pedestrian Crosswalk Law: A study of traffic and trajectory factors that affect non-compliance and stopping distance. , 2016, Accident; analysis and prevention.

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

[10]  Baibing Li,et al.  A model of pedestrians' intended waiting times for street crossings at signalized intersections , 2013 .

[11]  Carol Holland,et al.  The effect of age, gender and driver status on pedestrians' intentions to cross the road in risky situations. , 2007, Accident; analysis and prevention.

[12]  Zhongke Shi,et al.  Estimation of Probability of Swarming Pedestrians' Violation at Signalized Intersections in Developing Cities , 2009 .

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

[14]  M. King,et al.  Illegal pedestrian crossing at signalised intersections: incidence and relative risk. , 2009, Accident; analysis and prevention.

[15]  Andrea R. Bill,et al.  Recommended Walking Speeds for Pedestrian Clearance Timing Based on Pedestrian Characteristics , 2006 .

[16]  V. Sisiopiku,et al.  PEDESTRIAN BEHAVIORS AT AND PERCEPTIONS TOWARDS VARIOUS PEDESTRIAN FACILITIES: AN EXAMINATION BASED ON OBSERVATION AND SURVEY DATA , 2003 .

[17]  M. Granié.  Effects of gender, sex-stereotype conformity, age and internalization on risk-taking among adolescent pedestrians , 2009 .

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

[19]  Despina Stavrinos,et al.  Distraction and pedestrian safety: how talking on the phone, texting, and listening to music impact crossing the street. , 2012, Accident; analysis and prevention.

[20]  Li-Ta Hsu,et al.  A probabilistic model of pedestrian crossing behavior at signalized intersections for connected vehicles , 2016 .

[21]  Carol Holland,et al.  Gender differences in factors predicting unsafe crossing decisions in adult pedestrians across the lifespan: a simulation study. , 2010, Accident; analysis and prevention.

[22]  A. Tom,et al.  Gender differences in pedestrian rule compliance and visual search at signalized and unsignalized crossroads. , 2011, Accident; analysis and prevention.