The IMAGE framework for human mobility science: A comprehensive bibliometric analysis of research trends and frontiers

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy Pub Date : 2025-07-03 DOI:10.1016/j.tranpol.2025.06.028

Chonghao Zhang , Xuanyu Liu , Jingzheng Ren , Hao Yu , Jinyi Huang , Xiao Luo

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引用次数: 0

Abstract

This study presents the first comprehensive bibliometric analysis of human mobility research, examining 4793 articles (2008–2024) through CiteSpace. Our analysis identifies Utrecht University and U.S. institutions as field leaders while revealing four distinct research domains: Mobility Mechanism, Adaptive technology, Social Governance, and Sustainable Environment. Despite methodological limitations in capturing emerging research, our findings demonstrate a clear evolution from studying individual travel behaviors toward analyzing complex mobility patterns within diverse socioeconomic contexts. Based on these identified domains, we introduce the IMAGE Mobility Framework (Information-Driven, Mobility Mechanism, Adaptive Technology, Social Governance, Sustainable Environment) as a foundational paradigm for the field's fourth developmental phase. This framework systematically integrates advanced analytics, resilient systems design, intelligent governance mechanisms, and sustainability principles to address increasingly complex mobility challenges. Our research establishes a comprehensive roadmap for future scholarly inquiry that harnesses artificial intelligence capabilities, synthesizes heterogeneous data sources, and formulates innovative solutions to critical societal challenges including pandemic response, climate change mitigation, and social equity advancement.

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人类流动科学的IMAGE框架：研究趋势和前沿的综合文献计量学分析

本研究首次对人类流动性研究进行了全面的文献计量分析，通过CiteSpace检查了4793篇文章（2008-2024）。我们的分析确定了乌得勒支大学和美国机构作为领域领导者，同时揭示了四个不同的研究领域：流动性机制、适应性技术、社会治理和可持续环境。尽管在获取新兴研究的方法上存在局限性，但我们的研究结果表明，从研究个人旅行行为到分析不同社会经济背景下的复杂流动模式，这是一个清晰的演变。基于这些确定的领域，我们介绍了IMAGE移动框架（信息驱动、移动机制、适应性技术、社会治理、可持续环境），作为该领域第四个发展阶段的基础范式。该框架系统地集成了先进的分析、弹性系统设计、智能治理机制和可持续性原则，以应对日益复杂的移动挑战。我们的研究为未来的学术研究建立了一个全面的路线图，利用人工智能能力，综合异构数据源，并制定创新的解决方案，以应对重大的社会挑战，包括流行病应对、减缓气候变化和促进社会公平。

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来源期刊

Transport Policy Multiple-

CiteScore

12.10

自引率

10.30%

发文量

282

期刊介绍： Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.