Investigation on the Injury Severity of Drivers in Rear-End Collisions Between Cars Using a Random Parameters Bivariate Ordered Probit Model [PDF]
International Journal of Environmental Research and Public Health, 2019 The existing studies on drivers’ injury severity include numerous statistical models that assess potential factors affecting the level of injury. These models should address specific concerns tailored to different crash characteristics.
Feng Chen, Xiaoxiang
exaly +5 more sources
Impact of Helmet-Wearing Policy on E-Bike Safety Riding Behavior: A Bivariate Ordered Probit Analysis in Ningbo, China. [PDF]
Int J Environ Res Public Health, 2022 At present, Chinese authorities are launching a campaign to convince riders of electric bicycles (e-bikes) and scooters to wear helmets. To explore the effectiveness of this new helmet policy on e-bike cycling behavior and improve existing e-bike ...
Zhou J +5 more
europepmc +2 more sources
A Random Parameters Ordered Probit Analysis of Injury Severity in Truck Involved Rear-End Collisions. [PDF]
Int J Environ Res Public Health, 2020 Social and economic burdens caused by truck-involved rear-end collisions are of great concern to public health and the environment. However, few efforts focused on identifying the difference of impacting factors on injury severity between car-strike ...
Shao X +5 more
europepmc +2 more sources
Exploring Factors Contributing to Crash Injury Severity at Al-Diwaniyh City Streets: Random Parameter Ordered Probit Model Technique [PDF]
E3S Web of Conferences, 2023 Traffic crashes are among the problems that affect societies because the losses caused by these crashes directly impact the citizen due to the psychological suffering it leaves.
Al-Gharabi Amjad H. +2 more
doaj +2 more sources
European Transport Research Review, 2021 Although the pedestrian deaths have been declining in recent years, the pedestrian-vehicle death rate in Croatia is still pretty high. This study intended to explore the injury severity of pedestrian-vehicle crashes with panel mixed ordered probit model ...
Željko Šarić +3 more
doaj +2 more sources
Urban Science, 2023 Transport policymakers need to have an in-depth understanding of public transport (PT) customers in order to effectively manage transport systems and maintain the attractiveness of these systems to potential users.
Karzan Ismael, Szabolcs Duleba
doaj +2 more sources
Revisiting spatial correlation in crash injury severity: a Bayesian generalized ordered probit model with Leroux conditional autoregressive prior [PDF]
Transportmetrica A: Transport Science, 2021 To account for the spatial correlation of crashes that are in close proximity, this study proposes a Bayesian spatial generalized ordered probit (SGOP) model with Leroux conditional autoregressive (CAR) prior for crash severity analysis.
Qiang Zeng +3 more
openalex +2 more sources
Determinants of postharvest losses along smallholder producers maize and Sweetpotato value chains: an ordered Probit analysis [PDF]
Food Security, 2019 Postharvest loss reduction throughout commodity value chains is an important pathway to food and nutrition security in sub-Saharan Africa. However, lack of understanding of the location and share of the losses and associated factors along the postharvest
Apurba Shee +5 more
openalex +2 more sources