Emmanuel Kidando
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View article: Profiling crash-associated factors and injury risk patterns among lost-in-thought (daydreaming) drivers: a combined cluster-sequence analysis approach
Profiling crash-associated factors and injury risk patterns among lost-in-thought (daydreaming) drivers: a combined cluster-sequence analysis approach Open
Cognitive distraction, particularly in the form of being lost in thought or daydreaming, is a significant yet underexamined contributor to traffic crashes. This study investigates crash patterns and risk profiles associated with drivers wh…
View article: Freeze-thaw Effect on the mechanical properties of different wood species: impact of moisture content variations, microscopic morphology, and thermal modification in a selected species
Freeze-thaw Effect on the mechanical properties of different wood species: impact of moisture content variations, microscopic morphology, and thermal modification in a selected species Open
This study investigates changes in the mechanical qualities (such as the deformation capacity, compressive strength, and compressive stiffness) of structural timber due to freezing and thawing cycles. Ten (10) specimens, including nine (9)…
View article: Examining social-demographic determinants of bike-sharing station capacity
Examining social-demographic determinants of bike-sharing station capacity Open
This study applied Negative Binomial models to examine the social-demographic determinants of bike-sharing station capacity. It used social-demographic data from Smart Location Database and over 7,000 bike-sharing stations located in the U…
View article: Identifying contributing factors and locations of pedestrian severe crashes using hazard-based duration model
Identifying contributing factors and locations of pedestrian severe crashes using hazard-based duration model Open
Pedestrian safety remains a significant concern, with the growing number of severe pedestrian crashes resulting in substantial human and economic costs. Previous research into pedestrian crashes has extensively analyzed the influences of w…
View article: Spatial insights into micro-mobility safety: establishing optimal buffers for scooter crash predictions
Spatial insights into micro-mobility safety: establishing optimal buffers for scooter crash predictions Open
Establishing comparison events/crashes is among the key challenges in safety analysis. This study proposes a spatial consideration for predicting scooter crashes using Utah's five years of crash data. It involves creating buffers ranging f…
View article: Exploring the need to model severity of single- and multi-occupant vehicles crashes separately: A case of crashes at highway-rail grade crossings
Exploring the need to model severity of single- and multi-occupant vehicles crashes separately: A case of crashes at highway-rail grade crossings Open
In recent years, traffic safety researchers have attempted to separate single-vehicle and multi-vehicle crashes when analyzing crash severity, considering the significant differences in the mechanism of occurrence of the two crash types. H…
View article: Impacts of COVID-19 on the Operational Performance of Express Lanes and General-Purpose Lanes
Impacts of COVID-19 on the Operational Performance of Express Lanes and General-Purpose Lanes Open
The COVID-19 pandemic outbreak brought significant changes in the travel behavior and operational characteristics of transportation systems. Express lanes (ELs) are among the transportation facilities that are affected by this pandemic. Th…
View article: A Comparative Study of Parametric Regression Models to Detect Breakpoint in Traffic Fundamental Diagram
A Comparative Study of Parametric Regression Models to Detect Breakpoint in Traffic Fundamental Diagram Open
A speed threshold is a crucial parameter in breakdown and capacity distribution analysis as it defines the boundary between free-flow and congested regimes. However, literature on approaches to establishing the breakpoint value for detecti…
View article: An application of Bayesian multilevel model to evaluate variations in stochastic and dynamic transition of traffic conditions
An application of Bayesian multilevel model to evaluate variations in stochastic and dynamic transition of traffic conditions Open
This study seeks to investigate the variations associated with lane lateral locations and days of the week in the stochastic and dynamic transition of traffic regimes (DTTR). In the proposed analysis, hierarchical regression models fitted …
View article: Towards a Better Understanding of Effectiveness of Bike-share Programs: Exploring Factors Affecting Bikes Idle Duration
Towards a Better Understanding of Effectiveness of Bike-share Programs: Exploring Factors Affecting Bikes Idle Duration Open
Bike-share program is considered effective and reliable if its stations have bikes and empty docks available at any time of a day. Few studies have considered idle bikes in the system and even lesser have glanced on modeling bikes idle dur…
View article: Evaluating Traffic Congestion Using the Traffic Occupancy and Speed Distribution Relationship: An Application of Bayesian Dirichlet Process Mixtures of Generalized Linear Model
Evaluating Traffic Congestion Using the Traffic Occupancy and Speed Distribution Relationship: An Application of Bayesian Dirichlet Process Mixtures of Generalized Linear Model Open
Accurate classification and prediction of future traffic conditions are essential for developing effective strategies for congestion mitigation on the highway systems. Speed distribution is one of the traffic stream parameters, which has b…
View article: Bayesian Nonparametric Model for Estimating Multistate Travel Time Distribution
Bayesian Nonparametric Model for Estimating Multistate Travel Time Distribution Open
Multistate models, that is, models with more than two distributions, are preferred over single-state probability models in modeling the distribution of travel time. Literature review indicated that the finite multistate modeling of travel …