Transportmetrica A: Transport Science

Aims & Scope

Transportmetrica A provides a forum for original discourse in transport science.

The international journal's focus is on the scientific approach to transport research methodology and empirical analysis of moving people and goods.

Papers related to all aspects of transportation are welcome.

A rigorous peer review that involves editor screening and anonymous refereeing for submitted articles facilitates quality output.

All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.1
2024	3.60

SJR (SCImago Journal Rank)

Year	Value
2024	0.997

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	55

Journal Rank

Year	Value
2024	4851

Journal Citation Indicator

Year	Value
2024	882

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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 Engineering 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.

• Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning

  Citation: 226

  Authors: Weibin, Yinghao, Yong, Feng, Yinhai

• A review of travel time estimation and forecasting for Advanced Traveller Information Systems

  Citation: 156

  Authors: Usue, Alexander, Maite, Jose A.

• Incorporating pro-environmental preferences towards green automobile technologies through a Bayesian hybrid choice model

  Citation: 123

  Authors: Ricardo A., Denis

• Modelling user perception of bus transit quality considering user and service heterogeneity

  Citation: 93

  Authors: Maria, Luigi, Angel, Patricia

• Crowding valuation in urban tram and bus transportation based on smart card data

  Citation: 87

  Authors: Menno, Oded, Bart

• Transit passengers’ behavioural intentions: the influence of service quality and customer satisfaction

  Citation: 86

  Authors: Juan, Rocio, Laura, Carmen, Gabriella

• Ensemble of ARIMA: combining parametric and bootstrapping technique for traffic flow prediction

  Citation: 85

  Authors: Siroos, Milad, S. A., Taha

• Effects of service quality and customer satisfaction on customer loyalty in high-speed rail services in Taiwan

  Citation: 83

  Authors: Pin-Fenn, Chin-Shan, Yu-Hern

• A review of game theory models of lane changing

  Citation: 83

  Authors: Ang, David

• Bus dwell time: the effect of different fare collection systems, bus floor level and age of passengers

  Citation: 71

  Authors: Alejandro

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