[HTML][HTML] GIS-based spatial analysis of urban traffic accidents: Case study in Mashhad, Iran

GA Shafabakhsh, A Famili, MS Bahadori - Journal of traffic and …, 2017 - Elsevier
There is a growing concern in traffic accident rate in recent years. Using Mashhad city (Iran
second populous city) traffic accident records as case study, this paper applied the …

Pedestrian crash analysis with latent class clustering method

M Sun, X Sun, D Shan - Accident Analysis & Prevention, 2019 - Elsevier
Pedestrians are the most vulnerable users of the highway transportation system. While
encouraging “Green Transportation”, a concerning fact emerges in the United States …

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 …

A spatial and temporal analysis of child pedestrian crashes in Santiago, Chile

CA Blazquez, MS Celis - Accident Analysis & Prevention, 2013 - Elsevier
This paper presents a spatial and temporal analysis of child pedestrian crash data in
Santiago, Chile during the period 2000–2008. First, this study identified seven critical areas …

Exploring the application of latent class cluster analysis for investigating pedestrian crash injury severities in Switzerland

L Sasidharan, KF Wu, M Menendez - Accident Analysis & Prevention, 2015 - Elsevier
One of the major challenges in traffic safety analyses is the heterogeneous nature of safety
data, due to the sundry factors involved in it. This heterogeneity often leads to difficulties in …

Modelling severity of pedestrian-injury in pedestrian-vehicle crashes with latent class clustering and partial proportional odds model: A case study of North Carolina

Y Li, WD Fan - Accident Analysis & Prevention, 2019 - Elsevier
There are more than 2000 pedestrians reported to be involved in traffic crashes with
vehicles in North Carolina every year. 10%–20% of them are killed or severely injured …

Modelling personalised car-following behaviour: a memory-based deep reinforcement learning approach

Y Liao, G Yu, P Chen, B Zhou, H Li - Transportmetrica A: transport …, 2024 - Taylor & Francis
To adapt to human-driving habits, this study develops a personalised car-following model
via a memory-based deep reinforcement learning approach. Specifically, Twin Delayed …

On the edge of the world: Examining pro-environmental outcomes of last chance tourism in Kaktovik, Alaska

LB Miller, JC Hallo, RG Dvorak, JP Fefer… - Journal of …, 2020 - Taylor & Francis
Travel to impact-sensitive destinations has been on the rise in recent years. Coined “last
chance tourism”(LCT), visitors are increasingly coming to these destinations to see them …

United States fatal pedestrian crash hot spot locations and characteristics

RJ Schneider, FR Proulx, RL Sanders… - Journal of transport and …, 2021 - JSTOR
US pedestrian fatalities are at their highest level in nearly three decades and account for an
increasing share of total traffic fatalities (16%). To achieve the vision of a future …