A review of spatial approaches in road safety

A Ziakopoulos, G Yannis - Accident Analysis & Prevention, 2020 - Elsevier
Spatial analyses of crashes have been adopted in road safety for decades in order to
determine how crashes are affected by neighboring locations, how the influence of …

A review of the effect of traffic and weather characteristics on road safety

A Theofilatos, G Yannis - Accident Analysis & Prevention, 2014 - Elsevier
Taking into consideration the increasing availability of real-time traffic data and stimulated by
the importance of proactive safety management, this paper attempts to provide a review of …

Unobserved heterogeneity and the statistical analysis of highway accident data

FL Mannering, V Shankar, CR Bhat - Analytic methods in accident research, 2016 - Elsevier
Highway accidents are complex events that involve a variety of human responses to external
stimuli, as well as complex interactions between the vehicle, roadway features/condition …

Analytic methods in accident research: Methodological frontier and future directions

FL Mannering, CR Bhat - Analytic methods in accident research, 2014 - Elsevier
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …

Urban-rural variation in the socioeconomic determinants of opioid overdose

VA Pear, WR Ponicki, A Gaidus, KM Keyes… - Drug and alcohol …, 2019 - Elsevier
Background Prescription opioid overdose (POD) and heroin overdose (HOD) rates have
quadrupled since 1999. Community-level socioeconomic characteristics are associated with …

Bikeshare trip generation in New York city

RB Noland, MJ Smart, Z Guo - Transportation Research Part A: Policy and …, 2016 - Elsevier
Cities around the world and in the US are implementing bikesharing systems, which allow
users to access shared bicycles for short trips, typically in the urban core. Yet few scholars …

Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data

F Chen, S Chen, X Ma - Journal of safety research, 2018 - Elsevier
Introduction Driving environment, including road surface conditions and traffic states, often
changes over time and influences crash probability considerably. It becomes stretched for …

Modeling crash spatial heterogeneity: Random parameter versus geographically weighting

P Xu, H Huang - Accident Analysis & Prevention, 2015 - Elsevier
The widely adopted techniques for regional crash modeling include the negative binomial
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …

Macroscopic spatial analysis of pedestrian and bicycle crashes

C Siddiqui, M Abdel-Aty, K Choi - Accident Analysis & Prevention, 2012 - Elsevier
This study investigates the effect of spatial correlation using a Bayesian spatial framework to
model pedestrian and bicycle crashes in Traffic Analysis Zones (TAZs). Aggregate models …

Modelling area-wide count outcomes with spatial correlation and heterogeneity: An analysis of London crash data

MA Quddus - Accident Analysis & Prevention, 2008 - Elsevier
Count models such as negative binomial (NB) regression models are normally employed to
establish a relationship between area-wide traffic crashes and the contributing factors. Since …