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 …

Road safety in low-income countries: state of knowledge and future directions

S Heydari, A Hickford, R McIlroy, J Turner, AM Bachani - Sustainability, 2019 - mdpi.com
Road safety in low-income countries (LICs) remains a major concern. Given the expected
increase in traffic exposure due to the relatively rapid motorisation of transport in LICs, it is …

Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

X Wen, Y Xie, L Wu, L Jiang - Accident Analysis & Prevention, 2021 - Elsevier
Understanding and quantifying the effects of risk factors on crash frequency is of great
importance for developing cost-effective safety countermeasures. In this paper, the effects of …

Temporal stability of driver injury severities in animal-vehicle collisions: A random parameters with heterogeneity in means (and variances) approach

NSS Al-Bdairi, A Behnood, S Hernandez - Analytic methods in accident …, 2020 - Elsevier
This study investigates the determinants of driver injury severity in animal-vehicle collisions
while systematically accounting for unobserved heterogeneity in the data by using three …

Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways

TU Saeed, T Hall, H Baroud, MJ Volovski - Analytic methods in accident …, 2019 - Elsevier
Recent literature on highway safety research has focused on methodological advances to
minimize misspecifications and the potential for erroneous estimates and invalid statistical …

Temporal instability of truck volume composition on non-truck-involved crash severity using uncorrelated and correlated grouped random parameters binary logit …

M Fanyu, NN Sze, S Cancan, C Tiantian… - Analytic Methods in …, 2021 - Elsevier
With the growing demand for inter-city freight transport, proportion of trucks in the freeway
traffic has been increasing in China and worldwide in the past decade. There have been …

[HTML][HTML] Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London

S Heydari, G Konstantinoudis, AW Behsoodi - PloS one, 2021 - journals.plos.org
The COVID-19 pandemic has been influencing travel behaviour in many urban areas
around the world since the beginning of 2020. As a consequence, bike-sharing schemes …

Intended work from home frequency after the COVID-19 pandemic and the role of socio-demographic, psychological, disability, and work-related factors

N Barbour, M Abdel-Aty, A Sevim - … Research Part A: Policy and Practice, 2024 - Elsevier
The COVID-19 pandemic has allowed many workers to experience working from home.
While in most cases, the transition to work from home was not voluntary, it forced many …

Accounting for unobserved heterogeneity and spatial instability in the analysis of crash injury-severity at highway-rail grade crossings: A random parameters with …

SS Ahmed, F Corman, PC Anastasopoulos - Analytic methods in accident …, 2023 - Elsevier
Crashes at highway-rail grade crossings often result in higher proportion of injury and fatality
of the vehicle occupants as compared to other crash types, necessitating in-depth …

Using latent class analysis and mixed logit model to explore risk factors on driver injury severity in single-vehicle crashes

Z Li, Q Wu, Y Ci, C Chen, X Chen, G Zhang - Accident Analysis & …, 2019 - Elsevier
The single-vehicle crash has been recognized as a critical crash type due to its high fatality
rate. In this study, a two-year crash dataset including all single-vehicle crashes in New …