Macro-level literature analysis on pedestrian safety: Bibliometric overview, conceptual frames, and trends
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 …
conducts a systematic bibliometric analysis on the researches published before October 3 …
Two decades of geospatial evolution: tracing the analytical journey towards data-driven road crash prevention
A Soltani, O Mansourihanis… - Applied Spatial Analysis …, 2024 - Springer
Globally, road crashes impose massive burdens, and understanding the complex factors
influencing crash patterns requires advanced analytical methods. This study reviews 20 …
influencing crash patterns requires advanced analytical methods. This study reviews 20 …
Using ordered and unordered logistic regressions to investigate risk factors associated with pedestrian crash injury severity in Victoria, Australia
Introduction: The safety of pedestrians is a major concern in Victoria, Australia. Despite the
considerable number of pedestrian fatalities and injuries in traffic crashes, a limited number …
considerable number of pedestrian fatalities and injuries in traffic crashes, a limited number …
Effect of urban street trees on pedestrian safety: A micro-level pedestrian casualty model using multivariate Bayesian spatial approach
M Zhu, NN Sze, S Newnam - Accident Analysis & Prevention, 2022 - Elsevier
In the past decades, trees were considered roadside hazard. Street trees were removed to
provide clear zone and improve roadside safety. Nowadays, street trees are considered to …
provide clear zone and improve roadside safety. Nowadays, street trees are considered to …
Investigation on the driver-victim pairs in pedestrian and bicyclist crashes by latent class clustering and random forest algorithm
Pedestrians and bicyclists from marginalized and underserved populations experienced
disproportionate fatalities and injury rates due to traffic crashes in the US. This disparity …
disproportionate fatalities and injury rates due to traffic crashes in the US. This disparity …
An advanced machine learning approach to predicting pedestrian fatality caused by road crashes: A step toward sustainable pedestrian safety
More than 8000 pedestrians were killed due to road crashes in Australia over the last 30
years. Pedestrians are assumed to be the most vulnerable users of roads. This susceptibility …
years. Pedestrians are assumed to be the most vulnerable users of roads. This susceptibility …
Comparative analysis of the optimized KNN, SVM, and ensemble DT models using Bayesian optimization for predicting pedestrian fatalities: an advance towards …
Over the past three decades, more than 8000 pedestrians have been killed in Australia due
to vehicular crashes. There is a general assumption that pedestrians are often the most …
to vehicular crashes. There is a general assumption that pedestrians are often the most …
Built environment features and pedestrian accidents: An Italian retrospective study
Daily walking is a recommended physical activity. It can be an all-age suitable, environment-
friendly transport option. However, traffic crashes are a widely recognized risk factor …
friendly transport option. However, traffic crashes are a widely recognized risk factor …
Investigating pedestrian-vehicle crashes on interstate highways: Applying random parameter binary logit model with heterogeneity in means
In the US, the interstate highway system is categorized as a controlled-access or limited-
access route, and it is unlawful for pedestrians to enter or cross this type of highway …
access route, and it is unlawful for pedestrians to enter or cross this type of highway …
A random parameters copula-based binary logit-generalized ordered logit model with parameterized dependency: application to active traveler injury severity analysis
A copula-based dependence approach accommodates various facets of dependence
structures in building multivariate stochastic models. In existing studies, applications of …
structures in building multivariate stochastic models. In existing studies, applications of …