Travel Behaviour and Society
Published by Elsevier
ISSN : 2214-367X
Abbreviation : Travel Behav. Soc.
Aims & Scope
Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions.
In particular, it provides a discussion forum for major research in travel behavior, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 5.7 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 1.714 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 56 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 1882 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 2428 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Social Sciences, designed to support cutting-edge academic discovery.
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.
-
What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services in California
Citation: 416
Authors: Farzad, Giovanni, Susan, Patricia
-
Applying a random forest method approach to model travel mode choice behavior
Citation: 389
Authors: Long, Xuewu, Jonas, Xinjun, Frank
-
Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models
Citation: 311
Authors: Xilei, Xiang, Alan, Pascal
-
Applying mobile phone data to travel behaviour research: A literature review
Citation: 268
Authors: Zhenzhen, Sylvia Y., Yee
-
Dockless E-scooter usage patterns and urban built Environments: A comparison study of Austin, TX, and Minneapolis, MN
Citation: 246
Authors: Shunhua, Junfeng
-
How does neighborhood design affect life satisfaction? Evidence from Twin Cities
Citation: 206
Authors: Xinyu (Jason)
-
Experiences of electric bicycle users in the Sacramento, California area
Citation: 191
Authors: Natalie, Elizabeth, Zhenying, Yan, Yunshi, Susan
-
Walking (and cycling) to well-being: Modal and other determinants of subjective well-being during the commute
Citation: 182
Authors: Patrick A.
-
High-speed rail networks, economic integration and regional specialisation in China and Europe
Citation: 178
Authors: Yuk-shing, Becky P.Y., Roger
-
Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies
Citation: 178
Authors: Yang, Tian, Anthony G.O., Qing-Quan