Ridesourcing systems: A framework and review

H Wang, H Yang - Transportation Research Part B: Methodological, 2019 - Elsevier
With the rapid development and popularization of mobile and wireless communication
technologies, ridesourcing companies have been able to leverage internet-based platforms …

Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review

J Tang, L Zheng, C Han, W Yin, Y Zhang, Y Zou… - Analytic methods in …, 2020 - Elsevier
Accurate clearance time prediction for road incident would be helpful to evaluate the
incident impacting range and provide route guiding strategy according to the predicted …

Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application

S Hess, D Palma - Journal of choice modelling, 2019 - Elsevier
The community of choice modellers has expanded substantially over recent years, covering
many disciplines and encompassing users with very different levels of econometric and …

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 …

A note on out-of-sample prediction, marginal effects computations, and temporal testing with random parameters crash-injury severity models

Q Hou, X Huo, J Leng, F Mannering - Analytic methods in accident …, 2022 - Elsevier
Random parameters logit models have become an increasingly popular method to
investigate crash-injury severities in recent years. However, there remain potential elements …

Understanding factors influencing shared e-scooter usage and its impact on auto mode substitution

Y Guo, Y Zhang - Transportation research part D: transport and …, 2021 - Elsevier
Shared e-scooter is a fairly new transportation mode that emerged in late 2017. Since then,
it has gained popularity around the world; however, it also has spiraled into disarray in many …

A multi-year statistical analysis of driver injury severities in single-vehicle freeway crashes with and without airbags deployed

R Dzinyela, N Alnawmasi, EK Adanu… - Analytic Methods in …, 2024 - Elsevier
This paper seeks to identify factors that influence driver injury severities in single-vehicle
freeway crashes when airbags deployed and when airbags did not deploy. Injury-severity …

The effect of policy incentives on electric vehicle adoption

JHM Langbroek, JP Franklin, YO Susilo - Energy Policy, 2016 - Elsevier
In order to increase the attractiveness of electric vehicles (EVs), packages of policy
incentives are provided in many countries. However, it is still unclear how effective different …

Evidence of sample selectivity in highway injury-severity models: The case of risky driving during COVID-19

M Islam, A Alogaili, F Mannering, M Maness - Analytic methods in accident …, 2023 - Elsevier
Research in highway safety continues to struggle to address two potentially important
issues; the role that unobserved factors may play on resulting crash and injury-severity …

[HTML][HTML] A statistical assessment of work-from-home participation during different stages of the COVID-19 pandemic

N Barbour, N Menon, F Mannering - Transportation Research …, 2021 - Elsevier
Responses to the COVID-19 pandemic have dramatically transformed industry, healthcare,
mobility, and education. Many workers have been forced to shift to work-from-home, adjust …