Multimodal Transportation
Q1 Journal
Open Access
Journal
Country
Netherlands
Western Europe
Subject Area and Category
Social Sciences
└
Geography, Planning and Development
Q1
└
Transportation
Q1
Publisher
SJR 2025
1.302
Q1
SJR Score
H-Index
23
Citations / Doc (2yr)
5.33
Total Docs. (latest)
47
Total Citations (3yr)
652
Publication type
Journals
ISSN
27725871, 27725863
Coverage
2022-2026
Journal Rank
#3,147
Subject Categories
Geography, Planning and Development
Q1
Transportation
Q1
Subject Areas
Aims & Scope
MULTRA provides a forum for high-quality, cutting-edge research in transportation science and technology.
MULTRA covers all modes - road, rail, air, maritime - and the integration of multimodal transport.
Papers concerning multimodal integration or emerging transportation technologies are particularly welcome, as is work focusing on Intelligent Transportation Systems, Smart Transportation, or Big Data, as applied to transport planning, network modeling or traffic safety.
MULTRA is an interdisciplinary journal and embraces work from a wide range of disciplines, including, but not limited to, transportation, logistics, economics, operations research, and urban planning.
MULTRA publishes papers in two categories:
-Theory and Methodology: Papers in this category employ mathematical modeling, optimization theory, etc., to develop new concepts and technologies, rather than the refinement of established theories.
-Empirical Research: Papers in this category can either employ quantitative techniques from statistics, AI, machine learning etc., or qualitative research methods such as one-on-one interviews, focus groups, case study research etc., to obtain new insights into specific aspects of transportation science.
Abstracting & Indexing
Scopus
Google Scholar
Directory of Open Access Journals (DOAJ)
Detailed Metrics
| Total Docs. (latest) | 47 |
| Total Docs. (3 years) | 100 |
| Total Refs. | 2,641 |
| Total Citations (3 years) | 652 |
| Citable Docs. (3 years) | 90 |
| Citations / Doc. (2 years) | 5.33 |
| Ref. / Doc. | 56.19 |
| % Female | 24.5% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
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