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Asian Transport Studies is a peer-reviewed journal published by Elsevier, covering Urban Transport and Accessibility, Transportation Planning and Optimization, Traffic and Road Safety.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Asian Transport Studies 12 (2023) 45–58.
Formats any DOI in Asian Transport Studies style. No sign-up. |
| Publishes research in | Urban Transport and Accessibility Transportation Planning and Optimization Traffic and Road Safety Transportation and Mobility Innovations Urban and Freight Transport Logistics |
| ISSN | 2185-5560 |
| Citation impact (2-yr) | 1.81 |
| h-index | 18 |
| i10-index | 41 |
| Total citations | 1,243 |
| Article processing charge | $1,100 |
| Open access | Yes |
| Top institutions publishing here | The University of Tokyo |
| Journal website | www.journals.elsevier.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 occurrence rate of death and injury due to road traffic accidents is rising increasingly globally day by day. For several decades, the focus of research has been on getting a deeper understanding of the significant factors that influence the risk of road traffic fatalities. In today's modern world, neural network (NN) approaches play a…
The emergence of ride-hailing services has helped in providing on-demand and flexible mobility choices to the riders. In this research study, a questionnaire was designed based on the variables of the theory of planned behavior (TPB). This survey was conducted in Lahore city and a total of 531 samples were collected. The collected data were…
Roads have risks for severe accidents during the winter compared with other seasons; hence, this study investigates the impact of traffic, road, and environmental conditions, among other contributing factors on the probabilities of accident severity levels. We use an ordered probit model to examine three types of accidents (multivehicle, single vehicle, and pedestrian/bicycle) on national…
Pedestrian safety is a major and growing problem in Indian cities. The current investigation examines crash data (2011–2016) obtained from the Kolkata Police and identifies high-risk intersections for fatal pedestrian crashes in Kolkata City, India. To recognize the significant risk of fatal pedestrian crashes, a set of safety performance functions (SPFs) is developed. These SPFs…
The objective of this study is to utilize natural language processing technologies to examine data gathered from Twitter related to logistics in Japan during the COVID-19 pandemic. The Bidirectional Encoder Representations from Transformers (BERT) machine learning model is utilized to assess the sentiment of the content. The findings suggest a positive outlook on logistics during…
