About the Journal
Journal of Transportation Analytics (JOTA) is a peer-reviewed, international scholarly journal dedicated to advancing research and practice at the intersection of transportation systems, data analytics, and decision sciences. The journal provides a platform for high-quality contributions that leverage analytical, computational, and data-driven approaches to address complex transportation challenges.
The journal aims to bridge the gap between theory and practice by publishing innovative research that combines methodologies from operations research, artificial intelligence, machine learning, statistics, and optimization with real-world transportation applications.
Scope of the Journal includes, but is not limited to:
- Transportation analytics and data-driven decision-making
- Intelligent transportation systems (ITS) and smart mobility
- Urban mobility, traffic modeling, and demand forecasting
- Freight transportation and logistics analytics
- Optimization and simulation in transportation systems
- Sustainable and green transportation analytics
- Big data, AI, and machine learning applications in transport
- Mobility-as-a-Service (MaaS) and emerging mobility paradigms
The journal welcomes a variety of manuscript types, including original research articles, review papers, case studies, and methodological contributions that demonstrate both theoretical rigor and practical relevance.
Journal of Transportation Analytics targets researchers, practitioners, policymakers, and industry professionals who are interested in leveraging analytics and advanced methodologies to improve transportation efficiency, sustainability, and resilience.
