Analysis of the elderly pedestrian traffic accidents in urban scenarios: the case of the Spanish municipalities
In this study, the focus was on analysing the occurrence of elderly pedestrian-vehicle collisions in Spanish municipalities and how it is related to the built environment. The study used the hurdle negative binomial model to analyse the number of elderly and non-elderly pedestrian accidents per municipality in 2016-2019. The exploratory analysis showed that cities above 50,000 inhabitants were safer for the elderly, and larger provincial capitals had lower elderly pedestrian traffic accident rates. The occurrence of all pedestrian traffic accidents was linked to the socio-demographic features. For elderly pedestrians, land...
Source: International Journal of Injury Control and Safety Promotion - April 22, 2024 Category: Accident Prevention Authors: Daniel G álvez-Pérez Bego ña Guirao Armando Ortu ño Source Type: research

Evaluating the crash risk of powered two-wheelers in urban mixed traffic environments: a conflict threshold perspective
This study uses the extreme value theory to estimate the crash risk after establishing the conflict thresholds for potential rear-end and side-swipe conflicts by accounting for interacting vehicle types. The study considers four vehicle pairs involving PTWs: PTW-PTW, PTW-MThW (motorized three-wheeler), PTW-Car, and PTW-Bus. The study found that the conflict thresholds corresponding to rear-end and side-swipe types increase with the interacting vehicle size. The crash risk is lowest for the PTW-PTW pair (0.315%) in rear-end conflicts, whereas the risk is the highest for the PTW-MThW pair (3.7%) in side-swipe conflicts. The ...
Source: International Journal of Injury Control and Safety Promotion - April 22, 2024 Category: Accident Prevention Authors: Shivasai Samalla Pranab Kar Mallikarjuna Chunchu Source Type: research

The prevalence of helmet use in motorcyclists around the world: a systematic review and meta-analysis of 5,006,476 participants
This study provides a comprehensive overview of global helmet use prevalence, emphasizing disparities between high and low-income countries, variations in law enforcement, and trends over four decades. Targeted interventions are necessary to improve helmet-wearing habits, especially among passengers and regions with low usage rates. Effective legislation and awareness campaigns are crucial for promoting helmet use and reducing road traffic injuries burden.PMID:38628097 | DOI:10.1080/17457300.2024.2335509 (Source: International Journal of Injury Control and Safety Promotion)
Source: International Journal of Injury Control and Safety Promotion - April 17, 2024 Category: Accident Prevention Authors: Sina Shool Seyed Mohammad Piri Zahra Ghodsi Reza Tabrizi Mohammad Hosein Amirzade-Iranaq Mahdieh Mashayekhi Mohammad Amin Dabbagh Ohadi Kurosh Mojtabavi Reyhane Abbasnezhad Kasra Vasighi Rasha Atlasi Alireza Ansari-Moghaddam Seyed Taghi Heydari Mahdi Shar Source Type: research

Pedestrians injuries in the north east region of Jamaica: a cross sectional study
Int J Inj Contr Saf Promot. 2024 Apr 12:1-7. doi: 10.1080/17457300.2024.2337750. Online ahead of print.ABSTRACTTo describe the sociodemographic data of injured pedestrians, temporal patterns of injury, injury patterns, and the independent predictors of hospital admission. A two year cross-sectional study was conducted at the Saint Ann's Bay Regional Hospital in pedestrians with injuries post collision with a motor vehicle. A census was performed in all patients who received either emergency room treatment, hospital admission, or surgical intervention. A 30-item interviewer questionnaire was administered to collect the data...
Source: International Journal of Injury Control and Safety Promotion - April 13, 2024 Category: Accident Prevention Authors: Cary Fletcher Kaye Lambert Fletcher Source Type: research

Identification of the best machine learning model for the prediction of driver injury severity
Int J Inj Contr Saf Promot. 2024 Apr 4:1-16. doi: 10.1080/17457300.2024.2335478. Online ahead of print.ABSTRACTPredicting the injury severities sustained by drivers engaged in road traffic accidents is a key topic of research in road traffic safety. The current study analyzed the driver injury severity (DIS) using twelve machine learning (ML) algorithms. These models were implemented using 0.70, 0.80, and 0.90 train ratios and 5-, 10- and 15-fold cross-validation. Ten years of accident data (from 2011 to 2020) was obtained from police department of Shillong, India. A total of 693 accidents were documented, with 68% being n...
Source: International Journal of Injury Control and Safety Promotion - April 4, 2024 Category: Accident Prevention Authors: Neero Gumsar Sorum Dibyendu Pal Source Type: research

Methods of strategic road safety management: a systematic review
Int J Inj Contr Saf Promot. 2024 Apr 1:1-11. doi: 10.1080/17457300.2024.2335503. Online ahead of print.ABSTRACTA well-developed road network plays a crucial role in fostering social and economic progress within a region. However, road crashes resulting in massive injuries and deaths profoundly affect socioeconomic development. There is a need therefore to identify working approaches used in road safety strategic management which provide evidence and a foundation to achieve safer road transport. This may be achieved through a systematic literature review considering both state-of-the-art technologies and best practice. Such...
Source: International Journal of Injury Control and Safety Promotion - April 1, 2024 Category: Accident Prevention Authors: Bosong Jiao Harry Evdorides Source Type: research