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Ridesourcing systems: A framework and review
With the rapid development and popularization of mobile and wireless communication
technologies, ridesourcing companies have been able to leverage internet-based platforms …
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
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 …
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 …
many disciplines and encompassing users with very different levels of econometric and …
Unobserved heterogeneity and the statistical analysis of highway accident data
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 …
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
Random parameters logit models have become an increasingly popular method to
investigate crash-injury severities in recent years. However, there remain potential elements …
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
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 …
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
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 …
freeway crashes when airbags deployed and when airbags did not deploy. Injury-severity …
The effect of policy incentives on electric vehicle adoption
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 …
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
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 …
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
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 …
mobility, and education. Many workers have been forced to shift to work-from-home, adjust …