Journal of Rail Transport Planning and Management

Aims & Scope

Journal 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.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.7

Journal Rank

Year	Value
2024	6627

Journal Citation Indicator

Year	Value
2024	345

SJR (SCImago Journal Rank)

Year	Value
2024	0.813

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	37

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Decision Sciences, Engineering, Mathematics and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A multi-state train-following model for the analysis of virtual coupling railway operations

  Citation: 132

  Authors: Egidio, Meng, Rob M.P.

• Railway line capacity consumption of different railway signalling systems under scheduled and disturbed conditions

  Citation: 78

  Authors: Rob M.P., Francesco, Andrea

• Stochastic modelling of delay propagation in large networks

  Citation: 71

  Authors: Thorsten, Bernhard

• Urban rail transit operation safety evaluation based on an improved CRITIC method and cloud model

  Citation: 70

  Authors: Hua-Wen, Jin, Jing

• Optimal multi-class rescheduling of railway traffic

  Citation: 54

  Authors: Francesco, Andrea, Ingo A., Dario

• A MIP-based timetable rescheduling formulation and algorithm minimizing further inconvenience to passengers

  Citation: 54

  Authors: Keisuke, Kei, Norio

• An optimal delay management algorithm from passengers’ viewpoints considering the whole railway network

  Citation: 51

  Authors: Satoshi, Koichi, Shingo, Norio

• Models for railway timetable optimization: Applicability and applications in practice

  Citation: 47

  Authors: Gabrio, Leo, Christian

• Markov chain model for delay distribution in train schedules: Assessing the effectiveness of time allowances

  Citation: 43

  Authors: Ä°smail

• The interplay between energy-efficient train control and scheduled running time supplements

  Citation: 43

  Authors: Gerben M., Rob M.P.

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