One challenge faced by the random-parameter count models for crash prediction is the
unavailability of unique coefficients for out-of-sample observations. The means of the …

Background One major challenge faced by neighborhood-level bicycle safety analysis is the
lack of complete and reliable exposure data for the entire area under investigation. Although …

There has been recent interest in the use of network analysis to quantify bike network
features and their impact on biking levels and safety. However, limited bike network …

Crash data is usually aggregated over time where temporal correlation contributes to the
unobserved heterogeneity. Since crashes that occur in temporal proximity share some …

Traditionally, in developing non-motorized crash prediction models, safety researchers have
employed land use and urban form variables as surrogate for exposure information (such as …

Dockless bike sharing, also known as the shared bicycle industry, is booming, especially in
China. Since cyclists are more vulnerable than motor vehicle drivers in traffic crashes, it is …

Despite many research efforts on ride-hailing services and taxis, limited studies have
compared the safety performance of the two modes. A major challenge is the need for …

Road casualties represent an alarming concern for modern societies. During the last years,
several authors proposed sophisticated approaches to help authorities implement new …

This article proposed the Modified Structural Quasi Score (MSQS) estimators for Poisson
regression parameters when a covariate is subject to measurement error. We study the …

Development Of Planning-Stage Crash Prediction Tools Page 1 Development Of Planning-Stage
Crash Prediction Tools Submitted by Duong Vu Xuan Quynh Bachelor of Logistics and …