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Journals in Decision sciences and transportation

  • Transportation Research Part B: Methodological

    • ISSN: 0191-2615
    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.
  • Journal of Rail Transport Planning & Management

    • ISSN: 2210-9706
    The focus of the Journal of Rail Transport Planning & Management (JRTPM) is scientific and applied research that addresses developments and applications in the field of rail transport. The journal encompasses the design, planning and management of rail transport and operations for both passenger and freight trains, covering the whole range of light rail, metro, mainline, high-speed and other rail systems. The intelligent core of the journal is on the side of rail transport, not on rail assets or technology.The Journal of Rail Transport Planning & Management encourages the integration of quantitative methods from different scientific disciplines such as transport modelling, scheduling, operations research, control theory, systems engineering, mathematics, complex networks, computer science, artificial intelligence, economics and transport policy analysis.A non-exhaustive list of topic includes: transport demand estimation, railway network design, line planning, capacity management, timetabling, rail infrastructure maintenance planning, crew and rolling stock scheduling, dispatching, traffic management, disruption management, railway performance and train delay prediction, safety and signalling, train control, automatic train operation, energy-efficient train operation, passenger flows, rail freight and yards, rail governance and economics, and simulation. The journal encourages mathematical modelling and algorithmic approaches with the aim to increase the efficiency and competitiveness of passenger and freight transport, providing higher flexibility, performance and punctuality of trains operating in stations, on dedicated lines and in heterogeneous networks.The Journal of Rail Transport Planning & Management is affiliated with the International Association of Railway Operations Research (IAROR) and aims at consolidating and extending models, methods and concepts that improves rail transport planning and management.
  • Transportation Research Part A: Policy and Practice

    • ISSN: 0965-8564
    Transportation Research: Part A considers papers dealing with policy analysis (design, formulation and evaluation); planning; interaction with the political, socioeconomic and physical environments; and management and evaluation of transport systems. Topics may be approached from any discipline or perspective: economics, engineering, psychology, sociology, urbanism, etc., but must have a clear policy concern or be of interest for practice, and must be based on solid research and good quality data. The journal is international, and places equal emphasis on the problems of industrialized and non-industrialized regions.Part A's aims and scope are complementary to Transportation Research Part B: Methodological, Part C: Emerging Technologies and Part D: Transport and Environment. Part E: Logistics and Transportation Review. Part F: Traffic Psychology and Behaviour. The complete set forms the most cohesive and comprehensive reference of current research in transportation science.
  • Transportation Research Part E: Logistics and Transportation Review

    • ISSN: 1366-5545
    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).