Journals in Transportation modelling methodological

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Analytic Methods in Accident Research

• ISSN: 2213-6657
• 5 Year impact factor: 12.3
• Impact factor: 12.5

Analytic Methods in Accident Research publishes manuscripts that deal with the development and/or application of innovative statistical and econometric methods to the study of vehicle crashes and other transportation and non-transportation-related accidents. The intent of the journal is to demonstrate how such innovative methodological approaches can be used to provide new insights and quantification of the factors that affect the frequency and severity of accidents - thus providing new guidance for the implementation of appropriate countermeasures. While the focus of the journal is on the underlying analytic approach, acceptable application areas include all elements of transportation safety (road, pedestrian, air, rail, and water safety), construction safety, and any area of study where the unintended consequences of human behavior, machine failures or system failures result in property damage and/or bodily injury.

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Economics of Transportation

• ISSN: 2212-0122
• 5 Year impact factor: 2.6
• Impact factor: 2.2

The official journal of the International Transportation Economics AssociationEconomics of Transportation publishes scholarly papers that make important contributions to transportation economics. The journal also publishes papers that research the interaction between transportation and other economic activities; papers that seek to promote cross fertilization with other fields of economics including labor, trade, urban economics, and industrial organization; and substantive papers on timely policy issues relating to transportation. The journal welcomes both theoretical and applied papers. Papers are welcome regardless of the originating discipline provided they contribute to the goals of the journal. Economics of Transportation aims to uphold the highest standards of scientific originality and quality.

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Journal of Choice Modelling

• ISSN: 1755-5345
• 5 Year impact factor: 3.5
• Impact factor: 2.8

The Journal of Choice Modelling publishes theoretical and applied papers in the field of choice modelling. Papers are expected to either make a methodological contribution to the field, or to present an innovative application. The journal is not limited to one area of study, such as transport or marketing, but invites contributions from across a range of disciplines where the analysis of choice behaviour is a topic of interest. While the majority of papers focus on the use of discrete choice models, contributions looking at other methods are also welcome. Similarly, the Journal of Choice Modelling also welcomes contributions looking at survey design.In addition to standard full length research papers, JOCM also welcomes four other types of submissions:Research notesThese are shorter articles that can be technical notes addressing a specific model specification, survey design, data collection or estimation issue or discussion pieces highlighting a particular concern in applied work. No specific length limit is imposed, but potential authors may wish to look at volume 21 as an example for such articles.Research notes are subject to the normal blind refereeing process to maintain the high standards of the journal.Software papersThese are papers presenting software for choice model estimation and/or application as well as packages for survey design and data collection. These need to be substantial pieces of software that either improve on existing tools available, emulate them in a different environment and are likely to lead to widespread use. This type of paper is meant to provide readers with new tools for their work, rather than serve as a marketing device. The expectation is that the vast majority of papers submitted will report on free (open access) software. While we do not rule out papers discussing commercial software, an explicit case will have to be made to the editors as to why the article is of interest to the broad JOCM readership.Software papers will be reviewed initially by associate editors who may additionally rely on the advice of other experts in the field.Data papersThese are either papers reporting on innovative data collection efforts or papers describing datasets that can be used for model benchmarking. For innovative data collection papers, there is no requirement to make the data publicly available (although it is preferred) as long as the paper provides useful insights for other studies. For benchmark datasets, public access is required. Datasets can be deposited on the JOCM website, existing data repositories and/or websites administered by the authors. Long term maintenance of the sites should be guaranteed. Data papers should discuss the survey approach taken, highlight any novel elements, and in the case of data made publicly available, should include an online data dictionary.Data papers will be reviewed initially by associate editors who may additionally rely on the advice of other experts in the field.For data papers to be considered for publication, authors need to show that their work is relevant beyond their own topic area.Review papersThese are full length articles that review the literature in a specific area of research within the scope of JOCM. While literature review papers are not expected to include new research, they should provide new knowledge or thinking in terms of providing insightful overviews or critiques of existing work and highlighting gaps in that work. Cross- disciplinary review papers are especially welcome.Review papers are subject to the normal blind refereeing process to maintain the high standards of the journal.Discussion papersThese are full length articles that discuss current issues in choice modelling, set research agendas, or provide an outlook for the field. Cross-disciplinary review papers are especially welcome.

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Journal of Rail Transport Planning & Management

• ISSN: 2210-9706
• 5 Year impact factor: 3.1
• Impact factor: 2.6

Affiliated with the International Association of Railway Operations ResearchJournal of Rail Transport Planning & Management aims to stimulate the quality of service for railway passengers and freight customers by improving the knowledge on effectiveness and efficiency of capacity management, timetabling, management and safety of railway operations. It covers the whole range of light rail, metro, heavy and high-speed railway systems. The journal will create a platform for regular transfer of knowledge, new tools and discussion of innovative contributions regarding the analysis of passenger and freight railway transport, estimation of traffic demand and capacity, design of timetables, scheduling of trains and crews, dispatching, signalling, train control, automatic train operation, optimal use of rolling stock and energy in order to increase the efficiency and competitiveness of passenger and freight transport.The journal presents innovative theoretical approaches, high-tech concepts, new technological, financing and business management models and tools that can provide higher flexibility, performance and punctuality of trains operating on dedicated lines and in heterogeneous networks. Journal of Rail Transport Planning & Management integrates the expertise from different scientific disciplines as physical planning, transport modelling, traffic analysis, (system) engineering, mathematics, physics, computer science, economics and (transport) policy analysis.The articles accepted comprise generic theoretical research projects, original concise transport and business plans, pilot technical and economic feasibility analyses, as well as genuine impact assessment studies in the railway domain.Journal of Rail Transport Planning & Management supports the development of a “Network of Excellence” in the field of railway system planning, operations research, business development, traffic control and operations management. It brings together academics and professionals who advise governments, railway infrastructure managers, train operating companies and industrial suppliers on promising and successful innovation strategies for railway transport policy, lines, networks, operations and management.

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Transportation Research Part B: Methodological

• ISSN: 0191-2615
• 5 Year impact factor: 7.2
• Impact factor: 5.8

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.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

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Transportation Research Part E: Logistics and Transportation Review

• ISSN: 1366-5545
• 5 Year impact factor: 9.2
• Impact factor: 8.3

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).

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