Zonal crash prediction has been one of the most prevalent topics in recent traffic safety
research. Typically, zonal safety level is evaluated by relating aggregated crash statistics at …

Abstract Objective Surrogate safety measures (SSMs) are developed and applied as
alternatives or complements of safety analyses mainly due to important road crash data …

This study was performed to investigate the spatially varying relationships between crash
frequency and related risk factors. A Bayesian spatially varying coefficients model was …

This paper investigates factors associated with traffic crash fatalities in 63 provinces of
Vietnam during the period from 2012 to 2014. Random effect negative binomial (RENB) and …

Mode shift from private vehicle to public transport is often considered as a potential means of
improving road safety, given public transport's lower fatality rates. However, little research …

Generalized linear models (GLMs) are the most widely used models utilized in crash
prediction studies. These models illustrate the relationships between the dependent and …

China's rapid urbanization and high traffic accident frequency have received many
researchers' attention. It is important to reveal how urban infrastructures and other risk …

Travel demand management (TDM) consists of a variety of policy measures that affect the
effectiveness of transportation systems by changing travel behavior. The primary objective of …

Increasing evidence suggests that neighborhood-based measures of socioeconomic status
are correlated with traffic injury. The main objective of this study is to determine the …

Estimating and applying safety performance functions (SPFs), or models for predicting
expected crash counts, for roads under local jurisdiction is often challenging due to the lack …