Macro-level literature analysis on pedestrian safety: Bibliometric overview, conceptual frames, and trends

A Mirhashemi, S Amirifar, AT Kashani, X Zou - Accident Analysis & …, 2022 - Elsevier
Due to the high volume of documents in the pedestrian safety field, the current study
conducts a systematic bibliometric analysis on the researches published before October 3 …

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 …

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 …

Differences between day and night pedestrian-injury severities: Accounting for temporal and unobserved effects in prediction

A Alogaili, F Mannering - Analytic methods in accident research, 2022 - Elsevier
This study explores the differences between day and night pedestrian-injury severities in
vehicle–pedestrian crashes over a five-year period using data from the state of Kansas …

Temporal stability of pedestrian injury severity in pedestrian-vehicle crashes: New insights from random parameter logit model with heterogeneity in means and …

A Zamani, A Behnood, SR Davoodi - Analytic Methods in Accident …, 2021 - Elsevier
Pedestrians can be categorized as the most vulnerable road users since they have less
protection compared to other road users, which makes their safety of utmost importance for …

Temporal stability of factors influencing driver-injury severities in single-vehicle crashes: A correlated random parameters with heterogeneity in means and variances …

C Se, T Champahom, S Jomnonkwao… - Analytic methods in …, 2021 - Elsevier
Undoubtedly, single-vehicle crashes remain a major concern for roadway users and
highway administrators, especially in low-and middle-income developing countries, where …

Using traffic flow characteristics to predict real-time conflict risk: A novel method for trajectory data analysis

C Yuan, Y Li, H Huang, S Wang, Z Sun, Y Li - Analytic methods in accident …, 2022 - Elsevier
The real-time conflict prediction model using traffic flow characteristics is much less studied
than the crash-based model. This study aims at exploring the relationship between conflicts …

Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with …

C Se, T Champahom, S Jomnonkwao… - Accident Analysis & …, 2021 - Elsevier
In Thailand in 2016, more than 70% of all deaths due to road accidents were motorcyclist
deaths. This study uses a correlated random parameters ordered probit model with …

Exploring temporal instability effects on bicyclist injury severities determinants for intersection and non-intersection-related crashes

N Alnawmasi, Y Ali, S Yasmin - Accident Analysis & Prevention, 2024 - Elsevier
Cycling is a sustainable and healthy mode of transportation with direct links to reducing
traffic congestion, lowering greenhouse gas emissions, and improving air quality. However …

Evaluating gender differences in injury severities of non-helmet wearing motorcyclists: accommodating temporal shifts and unobserved heterogeneity

C Wang, M Ijaz, F Chen, Y Zhang, J Cheng… - Analytic methods in …, 2022 - Elsevier
With rapid growth in motorcycle use and relatively low helmet-wearing usage rates, injuries
and fatalities resulting from motorcycle crashes in Pakistan are a critical concern. To …