Journals in Decision sciences
Journals in Decision sciences
Our Decision Sciences titles care essential reading for students and professionals, and cover key topics in decision support systems, and global logistics, among other areas of research and practice
Operations Research Letters
Operations Research Letters (ORL) is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. ORL welcomes pure methodological papers and applied papers with firm methodological grounding. All articles are restricted to at most eight journal pages, with the option to relegate proofs and additional material to an online appendix. The main criteria for the papers to be published are quality, originality, relevance, and clarity. The journal's traditional strength is in methodology, including theory, modelling, algorithms, and computational studies. Please find below a full description of the areas covered by the journal.Area EditorsApproximation Algorithms for Combinatorial Optimization Problems Area Editor: Leah Epstein Associate Editors: M. Chrobak, K. Elbassioni, M. Feldman, J. Hurink, N. Olver, J. Sgall, J. Verschae The area covers all issues relevant to the development of efficient approximate solutions to computationally difficult problems. This includes worst case analysis or competitive analysis of approximation algorithms, and complexity results.Submissions can be articles consisting of theoretical work in the area, or articles combining significant theoretical contributions of mathematical flavor with computational investigations of heuristic approaches. Articles in the area of discrete optimization that do not belong to the scope of other areas may be submitted to this area as well.Computational Social Science Area Editor: Vianney Perchet Associate Editors: A. Drutsa, P. Mertikopoulos, R. Smorodinsky This area publishes papers focusing on data-driven procedures, either from a theoretical or an applied perspective, in operation research, games, economics and other social science. The scope includes: sample/computational complexity of mechanisms, learning in games/OR/social science, empirical solutions with AI algorithms (such as, but not limited to, deep learning techniques) of complex problems, etc. Continuous Optimization Area Editor: Hector Ramirez Associate Editors: M.F. Anjos, L.M. Briceno, D. Dadush, G. Eichfelder, D. Jiang, D. Orban, F. Schoen Papers in all fields of continuous optimization that are relevant to operations research are welcome. These areas include, but are not restricted to, linear programming, nonlinear programming (constrained or unconstrained, convex or nonconvex, smooth or nonsmooth, finite or infinite-dimensional... complementarity problems, variational inequalities, bilevel programming, and mathematical programs with equilibrium constraints. Financial Engineering Area Editor: Ning Cai Associate Editors: X. He, D. Mitchell Financial engineering utilizes methodologies of optimization, simulation, decision analysis and stochastic control to analyse the effectiveness and efficiency of financial markets. This area is interested in papers that innovate in terms of methods or that develop new models which guide financial practices. Examples include but are not limited to Fintech, financial networks, market microstructure, derivative pricing and hedging, credit and systemic risk, energy markets, portfolio selection. Game Theory Area Editor: Tristan Tomala Associate Editors: S. Beal, V. Ihele, D.W.K. Yeung, G. Zaccour This area publishes papers which use game theory to analyze operations research models or make theoretical contributions to the theory of games. The scope includes (but is not limited to): cooperative and non-cooperative games, dynamic games, mechanism and market design, algorithmic game theory, games on networks, games of incomplete information. Graphs & Networks Area Editor: Gianpaolo Oriolo Associate Editors: F. Bonomo, Y. Faenza, Z. Friggstad, L. Sanita The area seeks papers that apply, in original and insightful ways, discrete mathematics to advance the theory and practice of operations research, as well as those reporting theoretical or algorithmic advances for the area. Of particular, but not exclusive, interest are papers devoted to novel applications, telecommunications and transportation networks, graphs and web models and algorithms. Inventory and Supply Chain Optimization Area Editor: Sean Zhou Associate Editors: H. Abouee Mehrizi, A. Burnetas, X. Gong, Q. Li, J. Yang The area welcomes innovative papers focused on inventory control and supply management. Examples of topics include, but are not limited to, optimal sourcing, inventory and assortment selection, pricing and inventory optimization, capacity planning, multi-item/echelon systems, algorithms and bounds, near-optimal or asymptotic optimal solutions, and incentive design. Mixed Integer Optimization Area Editor: Marc Pfetsch Associate Editors: R. Fukasawa, L. Liberti, J.P. Vielma, G. Zambelli All submissions advancing the theory and practice of mixed integer (linear or nonlinear) programming like novel techniques and algorithmic approaches in convex relaxations, branch and cut, polyhedral combinatorics and theory driven heuristics are welcome. Case studies may be considered if they contribute to the general methodology. Operations Management Area Editor: Mahesh Nagarajan Associate Editors: L. Chu, Y. Ding, N. Golrezaei, T. Huh, D. Saban, C. Shi, L. Zhu The OM department aims to publish short, focused high quality research in the area of operations management, broadly the field of operations research applied to management problems. We welcome papers that use a wide variety of methodologies, both descriptive as well as prescriptive in nature including optimization, applied probability, simulation, and game theory. Scheduling Area Editor: Marc Uetz Associate Editors: B. Moseley, E. Pesch, R. Van Stee We seek original and significant contributions to the analysis and solution of sequencing and scheduling problems. This includes structural and algorithmic results, in particular optimization, approximation and online algorithms, as well as game theoretic modeling. All results are welcome as long as the relevance of a problem and significance of the contribution is made compellingly clear. Stochastic Models and Data Science Area Editor: Henry LamAssociate Editors: H. Bastani, J. Dong, K. Murthy, I. Ryzhov, Y. Zhou The area seeks papers broadly on the interplay between operations research and machine learning and statistics where stochastic variability and uncertainty play a crucial role. The area values both papers that develop or utilize stochastic analysis and computation in data science problems, including but not limited to reinforcement learning, stochastic iterative algorithms for model estimation or training, probabilistic analysis of statistical and machine learning tools, sampling and Monte Carlo methods, and also papers that integrate learning or statistical techniques into stochastic modeling to enhance prediction or decision-making for a wide variety of systems. Stochastic Networks and Queues Area Editor: Harsha HonnappaAssociate Editors: R. Roet-Green, E. Ozkan, W. Wang, Y. ZhaoThe area seeks papers that contribute to the modeling, analysis or innovative application of stochastic networks or queues. Work submitted should propose original models and develop novel analytical or computational methods more than incremental extensions. Examples of relevant application areas include but are not limited to supply chain management, manufacturing, financial engineering, healthcare, revenue management, service operations, telecommunications, sharing economy, online markets and public sector operations research. Application-oriented papers should demonstrate direct practical impact and have a strong methodological component as well.Stochastic Optimization and Machine Learning Area Editor: Angelos Georghiou Associate Editors: M. Bodur, M. Claus, E. Feinberg, P. Vayanos The Stochastic Optimization and Machine Learning area of Operations Research Letters solicits original articles that generate novel insights into problems that arise in optimization under uncertainty and in machine learning. The focus is broad and encompasses, among others, stochastic (dynamic) programming, (distributionally) robust optimization, data-driven optimization as well as the interface of machine learning with traditional areas of operations research. Successful submissions in this area are expected to make a clear and meaningful academic contribution, which may be through the study of new problems, models, solution techniques, performance analysis and convincing and reproducible numerical evaluations.- ISSN: 0167-6377
Research Policy
Policy, management and economic studies of science, technology and innovationResearch Policy (RP) articles examine empirically and theoretically the interaction between innovation, technology or research, on the one hand, and economic, social, political and organizational processes, on the other. All RP papers are expected to yield findings that have implications for policy or management.Before submitting, please read the Research Policy Guide for Authors, as well as our guidelines on Journal keywords for submission, and notes for proposing a special issue. If you would like to obtain more information about the scope of RP or the submission process, or if you have any further questions, please see the long list of FAQs at https://www.journals... and Scope: Research Policy (RP) is a multi-disciplinary journal devoted to analyzing, understanding and effectively responding to the economic, policy, management, organizational, environmental and other challenges posed by innovation, technology, R&D and science. This includes a number of related activities concerned with the creation of knowledge (through research), the diffusion and acquisition of knowledge (e.g. through organizational learning), and its exploitation in the form of new or improved products, processes or services. RP is generally acknowledged to be the leading journal in the field of innovation studies, with its academic status and influence being reflected in a remarkably high 'Impact Factor' for a multi-disciplinary social science journal (please see below). Authors intending to submit a paper to RP should first check whether that paper is consistent with the journal's Editorial Strategy as detailed in the Guide for Authors. RP uses an online submission process, https://www.editoria... and all papers are subject to a 'double-blind' review process, details as in the Guide for Authors. Besides research articles and notes, RP also publishes a variety of other types of papers including Special Issues (or shorter Special Sections) occasional discussion papers on important topical issues, and book reviews, again further information in the Guide for Authors.Main Subjects Covered: Economics of Innovation/Technolog... Entrepreneurs/Entrep... Evolutionary or (neo-)Schumpeterian Economics; Geography of Innovation - e.g. industrial clusters; Indicators - science, technology, R&D, innovation etc.; Innovation and Sustainability; Innovation Management/Organizat... Innovation Systems - national, regional, sectoral, technological; Knowledge - creation/production, diffusion/transfer/e... adoption/exploitatio... etc.; Learning (e.g. organizational) and Experimentation; Product and Process Development; Networks - e.g. research/ R&D collaboration, university-industry links, regional clusters, supply chains; Research and Development (R&D) Management/Policy/St... Research Policy; Resource-Based View of the Firm - competence/capabilit... (e.g. absorptive, core, dynamic); Science Policy; Sociotechnical Paradigms/Regimes; Technological Paradigms/Trajectori... Technological problem-solving; Technology Management/Policy/St...- ISSN: 0048-7333
Technological Forecasting and Social Change
A major forum for those wishing to deal directly with the methodology and practice of technological forecasting and future studies as planning tools as they interrelate social, environmental and technological factors.Please see our SI Guideline for information on submitting a Special Issue proposal.MISSIONTFSC invites submissions that focus on technology and its impact on society. Technology provides opportunities for growth and innovation by offering the means for introducing novel or improved products, services, and processes that have the potential to provide additional value to societal actors. TFSC is committed to publishing research with a clear technological focus that significantly contributes to both theory and practice. Technological innovation can optimize existing business activities, extend into new business areas, push the frontiers of markets, and contribute to mitigating and adapting to socioeconomic and environmental challenges. Tapping into the innovation potential of technology and evaluating its impact requires moving across four fields of research: first, forecasting the emergence, development, and impact of technologies; second, taking managerial decisions at the organizational and industrial level to materialize the innovation potential of technologies; third, examining and evaluating the multifaceted effects that the implementation of technological innovations have on society, organizations, and the environment, and fourth, developing appropriate governance processes and frameworks. .THE FOCUS OF TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE: WHAT WE AIM TO PUBLISH AND WHAT WE DO NOT PUBLISHTFSC invites submissions that focus on technology and its impact on society. Technology provides opportunities for growth and innovation by offering the means for introducing novel or improved products, services, and processes that have the potential to provide additional value to societal actors. This technological innovation can be directed at optimizing existing business activities, extending into new business areas, pushing the frontiers of markets, and contributing to mitigating and adopting socioeconomic and environmental challenges.Tapping into the innovation potential of technology and evaluating its impact requires moving across three majorfields of research.First, the future characteristics of technologies need to be forecasted. This implies observing and analyzing the emergence and development of novel technologies and assessing their potential functioning and impact on society. Technological forecasting is also indispensable to make informed decisions about investing resources, developing new products, planning for policy implications, and strategically positioning technological innovations in a competitive market. Moreover, it is a vital tool that helps organizations adapt to technological change and plan for the future with greater certainty. Manuscripts focused on forecasting the emergence, development, and impact of technologies should be submitted to the Technological Forecasting and Modelling bureau of TFSC. Second, materializing the innovation potential of technologies and ensuring that it becomes instrumental in advancing businesses, economies and societal goals requires managerial decisions. Such managerial decisions for example concern choices between technologies, allocation of resources to technological innovation initiatives, organizational change to enable technological transformation. Here the focus is on research on the management of technologies rather than technologies that support managerial decisions. Research that informs decisions in technology management at the organizational and industrial level should be submitted to the Management of Technology bureau of TFSC. Third, research efforts are needed to examine and evaluate the multifaceted effects of technological advancements on society, organizations, and the environment. This area of study builds on contributions that seek to understand the direct and indirect consequences of technology implementation, ranging from its economic implications to social changes, without forgetting about environmental effects. The ultimate goal is to provide assessments that can inform policymakers, businesses, and the public about the benefits and risks associated with the deployment of technological innovations. This field of research also emphasizes the importance of tracking the impact of technologies over time and across different settings. Moreover, this focus can involve not just assessing the outcomes of technology implementation, but also the processes by which technologies are integrated and adopted. Research in this domain should be submitted to the Impact and Evaluation of Technology bureau of TFSC.Fourth, developing appropriate institutional structures, regulatory frameworks and decision-making processes is essential for ensuring that innovative technologies equitably address societal challenges while managing associated risks. This implies understanding how different approaches can effectively facilitate and guide the diffusion and deployment of technologies, encompassing studies of regulatory innovation, policy experimentation, and governance models that can adapt to rapidly evolving technologies. It asks how different stakeholders - including government bodies, technical experts, industry players, civil society organizations, and the public - can be effectively engaged in technology governance processes. Manuscripts focused on understanding how governance of emerging technologies can foster sociotechnical progress while protecting public interests should be submitted to the Technology Governance and Public Policy bureau of TFSC.During the submission process, authors are responsible for carefully selecting the bureau in which their study should be assessed for potential publication in TFSC. We also encourage submissions taking a more holistic approach to the study of technology and its impact on society, by covering thematic areas that are relevant for more than one bureau. It is also important to highlight that manuscripts looking into individual, organizational, or societal factors that impact technological development are out of scope. Moreover, TFSC does not publish research that focuses on social change only, unless authors examine this change through the lens of specific technological developments. All manuscripts published in TFSC are expected to make substantial theoretical and practical contributions. Practical contributions can be translated into recommendations for management practice but also as policy implications. These contributions need to be explicitly spelled out and well-rooted in the findings of your study. To substantially advance our understanding of technology and its impact on society, submissions have to be rooted inan effective, consistent, and current theoretical basis. An effective theoretical underpinning enables researchers to frame the subject matter under investigation. For a theory base to be consistent, all ideas developed in the manuscript need to build on a theoretical framework with matching ontological and epistemological basic assumptions. The theoretical underpinning is current if authors effectively leverage state-of-the-art knowledge provided in scientific publications. TFSC will not publish manuscripts that lack a strong theoretical contribution, methodological development, and practical implications. TFSC also desk reject papers that violate submission or ethical guidelines as outlined in the guide for authors on the journal webpage.- ISSN: 0040-1625
International Journal of Production Economics
The International Journal of Production Economics focuses on topics treating the interface between engineering and management. All aspects of the subject in relation to manufacturing and process industries, as well as production in general are covered. The journal is interdisciplinary in nature, considering whole cycles of activities, such as the product life cycle - research, design, development, test, launch, disposal - and the material flow cycle - supply, production, distribution.The ultimate objective of the journal is to disseminate knowledge for improving industrial practice and to strengthen the theoretical base necessary for supporting sound decision making. It provides a forum for the exchange of ideas and the presentation of new developments in theory and application, wherever engineering and technology meet the managerial and economic environment in which industry operates. In character, the journal combines the high standards of a traditional academic approach with the practical value of industrial applications.Article... accepted need to be based on rigorous sound theory and contain an essential novel scientific contribution. Tracing economic and financial consequences in the analysis of the problem and solution reported, belongs to the central theme of the journal. Submissions should strictly follow the Guide for Authors of the journal.We are interested in publishing high quality survey and review papers in relevant domains. However, we stress that the hurdles for consideration of such papers are high. They must demonstrate a strong need, show that they are well-executed, and generate valuable insights. Survey and review papers must position themselves clearly in relation to existing related reviews and surveys in the field. Systematic reviews that merely describe publication patterns in a particular field are unlikely to be sent out for review for IJPE. All survey and review papers must show valuable critique of the field and new insights. Such papers will normally require author(s) with sufficient experience in the field to make appropriate judgements.- ISSN: 0925-5273
Organizational Behavior and Human Decision Processes
Organizational Behavior and Human Decision Processes publishes fundamental research in organizational behavior, organizational psychology, and human cognition, judgment, and decision-making. The journal features articles that present original empirical research, theory development, meta-analysis, and methodological advancements relevant to the substantive domains served by the journal. Topics covered by the journal include perception, cognition, judgment, attitudes, emotion, well-being, motivation, choice, and performance. We are interested in articles that investigate these topics as they pertain to individuals, dyads, groups, and other social collectives. For each topic, we place a premium on articles that make fundamental and substantial contributions to understanding psychological processes relevant to human attitudes, cognitions, and behavior in organizations.In order to be considered for publication in OBHDP an empirical manuscript has to include the following:Demonstrat... an interesting behavioral/psycholog... phenomenonMake a significant theoretical and empirical contribution to the existing literatureIdentify and test the underlying psychological mechanism for the newly discovered behavioral/psycholog... phenomenonHave practical implications in organizational contextThe above-mentioned criteria do not apply to conceptual submissions. OBHDP also considers conceptual manuscripts that offer substantively new contribution.- ISSN: 0749-5978
International Journal of Information Management
The International Journal of Information Management (IJIM) is a leading outlet for high-impact research in the information systems (IS) field. It embraces an inclusive range of topics, levels of analysis, and perspectives, reflecting all facets of information systems globally.The journal focuses on:Design, development, implementation, and management of information technologies and systems in organizational and societal contexts;Strategic integration of IT in business, including IT strategy, governance, and organizational change management;Digital innovation and emerging technologies–for example, research on social media, mobile and cloud computing, digital platforms and ecosystems, big data analytics, artificial intelligence, the Internet of Things, blockchains, and other cutting-edge technologies and their convergence;Organiza... initiatives that enhance decision-making and business intelligence;Use, impact, and value of information systems on individuals, organizations, and society, including studies of how IS influences organizational performance and processes, user behavior and experience, economics of IT, and public or institutional policy;Organizationa... contextualized ethical, social, and policy issues that are arising in the digital era (for instance, research on data privacy, security and resilience of IT infrastructures, sustainability, digital inclusion, and the societal implications of information technology).By covering this broad spectrum of topics, IJIM provides a comprehensive forum for both theoretical advances and practical insights into contemporary information systems in business contexts.Theoretical and Methodological Rigor IJIM is committed to the highest standards of academic rigor and scholarly contribution, publishing only work that is innovative, insightful, and rigorously developed. Specifically:We seek papers that make strong academic contributions, whether by building new theory or significantly extending existing frameworks. The journal values research that develops a scholarly understanding based on empirical evidence while also offering novel theoretical insights. Papers that do not advance theory or design in a significant way will be desk rejected. Each paper is expected to have a clear theoretical or design science grounding and to articulate its contribution to the broader IS literature, whether it be by challenging existing assumptions, integrating streams of research, unveiling new relationships and constructs, or designing new artifacts.We welcome diverse research methodologies and encourage authors to employ the approach best suited to their research question. Submissions may be quantitative (e.g. large-scale surveys, experiments, analytics), qualitative (e.g. case studies, ethnographies, interviews), design science (artifacts and solutions demonstrating IT innovation), or analytical/modeling studies.While we welcome research that draws on perspectives from computer science, management, economics, psychology, sociology, organization science, and other related disciplines, our focus is on information systems and information management. Any papers narrowly focused (e.g., marketing or agriculture) will be desk rejected. Novel combinations of theories or methods that address complex IS phenomena are welcomed. Regardless of approach, all submissions must demonstrate methodological rigor, sound analysis, and validity of results. The journal ensures a rich methodological plurality that advances the IS field’s knowledge base.We welcome submissions of the article types below –Research ArticlesFull-length, theoretically grounded manuscripts that advance knowledge in information and management through rigorous conceptual development and empirical validation. Submissions should clearly align with the journal’s scope and mission.Research Methods ArticlesThese articles focus on advancing the practice of doing research. This includes papers that introduce or refine methodologies (quantitative, qualitative, or computational, including AI-enabled methods), discuss innovations in data collection or analysis, or reflect on research design, theory building, and scholarly inquiry.Theory and Review ArticlesThese submissions offer integrative reviews of existing literature and develop frameworks that organize knowledge and guide future research. Authors are encouraged to identify gaps, evaluate theoretical contributions, and propose novel directions or conceptual models that shape the evolution of the field.Research NotesShort-form articles that provide timely and focused contributions, such as replication studies, critical re-evaluations of past findings, or exploratory research that challenges prevailing assumptions. This category welcomes contrarian perspectives and constructive critique that fosters healthy academic debate.A Leading Outlet for Cutting-Edge Scholarship As a premier journal in information systems and information management, IJIM aspires to publish only the highest quality scholarship in the discipline. We are dedicated to maintaining a rigorous peer-review process and upholding ethical publication standards to ensure excellence and integrity in the research we disseminate. The journal seeks out groundbreaking and forward-looking studies that push the boundaries of current knowledge and explore emerging frontiers in information systems research. Our goal is to remain at the forefront of the field, by attracting influential research that will set scholarly agendas and guide future inquiry. In line with this goal, IJIM promotes innovative and theory-driven research that is also relevant and insightful for global audiences of scholars. Through its broad scope and unwavering commitment to rigor, IJIM positions itself as a premier venue for cutting-edge IS research. We invite authors to submit their best work to IJIM, confident that our journal provides an authoritative platform to advance the state of knowledge and practice in information systems and to shape the future direction of the field. Open Data PolicyInternational Journal of Information Management is committed to research transparency and reproducibility through its Open Data policy. Authors are required to:Deposit their research data in a relevant data repositoryInclude appropriate citations and links to these datasets in their articleProvide a Research Data Availability StatementIf data sharing is not possible due to ethical, legal, or proprietary constraints, authors must include a detailed statement explaining why the research data cannot be shared.- ISSN: 0268-4012
The Journal of Strategic Information Systems
The Journal of Strategic Information Systems focuses on the strategic management, business and organizational issues associated with the introduction and utilization of information systems, and considers these issues in a global context. The emphasis is on the incorporation of IT into organizations' strategic thinking, strategy alignment, organizational arrangements and management of change issues. The journal publishes research from around the world which:• investigate the changing nature of business in the context of emerging IT • discuss the justification and evaluation of information systems • discuss the organizational implications of IT • consider how organizations have been transformed as a result of the astute management and application of ITA transdisciplinary, critical approach/perspective is welcome.Topics covered include: • organizational transformation on the back of IT • information systems/business strategy alignment • inter-organizational systems • global issues and cross-cultural issues • the impact and significance of emerging IT- ISSN: 0963-8687
Journal of Economic Dynamics and Control
The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.- ISSN: 0165-1889
Analytic Methods in Accident Research
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-r... 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.- ISSN: 2213-6657
Journal of Rail Transport Planning & Management
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.- ISSN: 2210-9706
