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 …

[HTML][HTML] Machine learning for predictions of road traffic accidents and spatial network analysis for safe routing on accident and congestion-prone road networks

Y Berhanu, D Schröder, BT Wodajo, E Alemayehu - Results in Engineering, 2024 - Elsevier
Road traffic accidents (RTAs) and the resulting traffic congestion are global concerns mainly
in metropolitan environments. The need for road safety is directly correlated with the rapidly …

Designing a bi-level emergency medical centers' chain to increase the resilience of EMS's supply-chain using ACO-QAP: A case study of Tabriz

H Ahmadi, NN Samany, A Ghanbari… - International Journal of …, 2022 - Elsevier
Natural hazards mainly occur unexpectedly and disrupt or completely stop the normal
function of society [[1],[2],[3],[4]]. About 11,500 natural hazards occurred in the 1980–2015 …

Risk reduction via spatial and temporal visualization of road accidents: a way forward for emergency response optimization in developing countries

A Qalb, HSH Arshad, MS Nawaz… - International journal of …, 2023 - Taylor & Francis
To achieve an effective emergency response and road safety, this study aims to assist a
semi-automated dynamic system to analyze and predict the spatial distribution and temporal …

[HTML][HTML] Spatial and Temporal Analysis of Road Traffic Accidents in Major Californian Cities Using a Geographic Information System

T Alsahfi - ISPRS International Journal of Geo-Information, 2024 - mdpi.com
Road traffic accidents have increased globally, which has led to significant challenges to
urban safety and public health. This concerning trend is also evident in California, where …

Spatial Accessibility of Emergency Facilities to Road Accident Victims in Federal Capital City

DS Aule, MS Jibril, BD Garba - Journal of Geoscience and Environment …, 2023 - scirp.org
This paper studied the spatial accessibility of emergency facilities to road accident victims in
Federal Capital City to determine the sufficiency of existing emergency health care facilities …

Optimizing Ambulance Location Based on Road Accident Data in Rwanda Using Machine Learning Algorithms

G Bahati, E Masabo - 2024 - researchsquare.com
Background The optimal placement of ambulances is critical for ensuring timely emergency
medical responses, especially in regions with high accident frequencies. In Rwanda, where …

Optimizing EMS Response Times with Machine Learning: A Multivariate Analysis for Enhanced Resource Allocation

P Hill, J Lederman, D Jonsson, P Bolin, V Vicente - 2024 - researchsquare.com
Background This study examines the multifaceted determinants of Emergency Medical
Services (EMS) response times through a machine learning approach. Using data from over …

[PDF][PDF] A Geospatial Analysis of Motorcycle Accident Risk Factors in Khon Kaen Municipality, Thailand: Examining the Chain of Survival and Potential Strategies

N Tippayanate, T Impool, P Sujayanont… - International Journal of …, 2024 - journals.sfu.ca
The study utilizes a geospatial approach to analyze the risk of motorcycle accidents in Khon
Kaen Municipality, Thailand. We focus on identifying high-crash areas involving …

The Spatial Patterns of Road Traffic Crash Black Spots and Emergency Facilities in Federal Capital City

MS Jibril, DS Aule, BD Garba - Journal of Geoscience and Environment …, 2023 - scirp.org
This study aimed at determining the spatial patterns of Road Traffic Crash (RTC) black spots,
Federal Road Safety Commission (FRSC) zebra points and emergency health care facilities …