Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods
Richard Amoh-Gyimah, Meead Saberi, Majid Sarvi
ACCIDENT ANALYSIS AND PREVENTION | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2016
The paper presents a cross-comparison of different estimation methods to model pedestrian and bicycle crashes. The study contributes to macro level safety studies by providing further methodological and empirical evidence on the various factors that influence the frequency of pedestrian and bicycle crashes at the planning level. Random parameter negative binomial (RPNB) models are estimated to explore the effects of various planning factors associated with total, serious injury and minor injury crashes while accounting for unobserved heterogeneity. Results of the RPNB models were compared with the results of a non-spatial negative binomial (NB) model and a Poisson-Gamma-CAR model. Key findin..View full abstract
Authors are thankful to Dr. Amir Sobhani for his contributions at the early stages of this research and Jane Moodie for proofreading the paper. We are also grateful to the Australian Government for awarding the first author the Australian Postgraduate Award (APA) scholarship to pursue his PhD studies on this topic.