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Journal of Transportation Safety & Security is a peer-reviewed journal published by Taylor & Francis, covering Traffic and Road Safety, Urban Transport and Accessibility, Traffic Prediction and Management Techniques.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Transportation Safety & Security 12 (3): 45–58.
Formats any DOI in Journal of Transportation Safety & Security style. No sign-up. |
| Publishes research in | Traffic and Road Safety Urban Transport and Accessibility Traffic Prediction and Management Techniques Injury Epidemiology and Prevention Traffic control and management |
| ISSN | 1943-9962 |
| Citation impact (2-yr) | 2.23 |
| h-index | 40 |
| i10-index | 354 |
| Total citations | 10,233 |
| Top institutions publishing here | Southeast University |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The primary objective of this article is to contribute to the debate on the relationship between average speeds, speed variations, and accident rates. This is achieved by the use of two advanced statistical models: (1) a nonspatial random-effects negative binomial model and (2) a spatial Poisson-lognormal model using a full hierarchical Bayesian model to explore…
AbstractThis article focuses on identifying the appropriate ordered response structure for modeling pedestrian injury severity. The alternative ordered response approaches considered for the empirical analysis include ordered logit model (OL), generalized ordered logit model (GOL), and latent segmentation based ordered logit model (LSOL). The GOL and LSOL models enhance the traditional OL model in different…
Investigating drivers’ injury level and detecting contributing factors that aggravate the damage level imposed on drivers and vehicles is a critical subject in the field of crash analysis. In this study, a comprehensive vehicle-by-vehicle crash data set is developed by integrating 5 years of data from California crash, vehicles involved, and road databases. The data…
Several studies have indicated that road crashes are more likely to occur on horizontal curves than on straight roadway segments for a good number of reasons, the most important of which is associated with the driver's behaviour along the curve depending on his perception of the road geometry. However, the evaluation of the effects of…
Road traffic accidents are among the leading causes of death and injury worldwide. In Abu Dhabi, in 2014, 971 traffic accidents were recorded, which contributed to 121 fatalities and 135 severe injuries. Several factors contribute to injury severity, including driver-related factors, road-related factors, and accident-related factors. In this article, data-mining techniques were employed to establish…
