Journals in Decision sciences and transportation
Journals in Decision sciences and transportation
Transportation Research Part B: Methodological
Transportation Research: Part B publishes papers on all methodological aspects of the subject, particularly those that require mathematical analysis. The general theme of the journal is the development and solution of problems that are adequately motivated to deal with important aspects of the design and/or analysis of transportation systems. Areas covered include: traffic flow; design and analysis of transportation networks; control and scheduling; optimization; queuing theory; logistics; supply chains; development and application of statistical, econometric and mathematical models to address transportation problems; cost models; pricing and/or investment; traveler or shipper behavior; cost-benefit methodologies.Part B's aims and scope are complementary to Transportation Research Part A: Policy and Practice, Part C: Emerging Technologies and Part D: Transport and Environment. The complete set forms the most cohesive and comprehensive reference of current research in transportation science.Audience: Operations researchers, Logisticians, Economists, Econometricians, Mathematical Modelers, and Transportation Engineers, Geographers and Planners.- ISSN: 0191-2615
Transportation Research Part E: Logistics and Transportation Review
Transportation Research Part E: Logistics and Transportation Review (TR-E) is differentiated from its sister journals (TR-A, TR-B, TR-C, TR-D, and TR-F). As reflected in their title, the commonality between these journals is the focus on ‘Transportation,’ but TR-E is differentiated by specializing in ‘Logistics.’ Of course, it is widely accepted that transportation is undoubtedly one of the most critical components of logistics. TR-E publishes informative and high-quality articles drawn from across the spectrum of logistics components. The related research studies are multi-disciplinary and include (i) hard/ classic logistics research, such as transportation, material handling, packaging, warehousing, inventory, and handling, and so on (ii) soft logistics research by adding Operations Management (OM) and Supply Chain Management (SCM) concepts, tools, and philosophies to the classic logistics, such as sustainability, risk and disruption, circular economy, and artificial intelligence.There are no limitations to the research methods utilized. Therefore, various research methods can be used, such as analytical (e.g., operations research techniques including game theory, queuing theory, dynamic programming, linear, integer, and nonlinear programming), quantitative and qualitative empirical research (e.g., time series, regression, microeconomics), simulation, mixed research methods (e.g., combining surveys and case studies with quantitative data analysis), experimental research (e.g., controlled experiments, lab experiments, and field experiments), case studies (e.g., in-depth analysis), machine learning, artificial intelligence and network analysis (e.g., graph theoretic concept).- ISSN: 1366-5545
