The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

D Lord, F Mannering - Transportation research part A: policy and practice, 2010 - Elsevier
Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has
been an area of research focus for many decades. However, in the absence of detailed …

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 …

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 …

A negative binomial Lindley approach considering spatiotemporal effects for modeling traffic crash frequency with excess zeros

W Wang, Y Yang, X Yang, VV Gayah, Y Wang… - Accident Analysis & …, 2024 - Elsevier
Statistical analysis of traffic crash frequency is significant for figuring out the distribution
pattern of crashes, predicting the development trend of crashes, formulating traffic crash …

Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models

Q Cai, J Lee, N Eluru, M Abdel-Aty - Accident Analysis & Prevention, 2016 - Elsevier
This study attempts to explore the viability of dual-state models (ie, zero-inflated and hurdle
models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency …

[BOOK][B] Highway safety analytics and modeling

D Lord, X Qin, SR Geedipally - 2021 - books.google.com
Highway Safety Analytics and Modeling comprehensively covers the key elements needed
to make effective transportation engineering and policy decisions based on highway safety …

Geographical unit based analysis in the context of transportation safety planning

M Abdel-Aty, J Lee, C Siddiqui, K Choi - Transportation Research Part A …, 2013 - Elsevier
A wide array of spatial units has been explored in macro-level modeling. With the
advancement of Geographic Information System (GIS) analysts are able to analyze crashes …

Bayesian spatial-temporal model for the main and interaction effects of roadway and weather characteristics on freeway crash incidence

H Wen, X Zhang, Q Zeng, NN Sze - Accident Analysis & Prevention, 2019 - Elsevier
This study attempts to examine the main and interaction effects of roadway and weather
conditions on crash incidence, using the comprehensive crash, traffic and weather data from …

Exploring key spatio-temporal features of crash risk hot spots on urban road network: A machine learning approach

P Wu, T Chen, YD Wong, X Meng, X Wang… - … research part A: policy …, 2023 - Elsevier
Traffic safety is a critical factor that has always been considered in policy making for urban
transportation planning and management. Accurately predicting crash risk hot spots allows …