Potentials of digital twin system for analyzing travel behavior decisions

IF 5.1 2区 工程技术 Q1 TRANSPORTATION Travel Behaviour and Society Pub Date : 2024-09-13 DOI:10.1016/j.tbs.2024.100902
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Abstract

This review explores the potential of digital twin systems to provide a more holistic representation of travel behavior and support transportation planning and policymaking. The paper introduces the concept of digital twins, their key characteristics, and their applications in various domains, including transportation. It discusses the traditional methods used in travel behavior analysis and their limitations, as well as the potential advantages of digital twin systems, such as the integration of heterogeneous data sources, real-time monitoring and prediction, and the ability to simulate and evaluate various policy scenarios. The review also identifies the key components of digital twin systems, the challenges associated with their implementation, and the current state of research on digital twins and related methods in travel behavior analysis. The paper highlights research gaps and future directions, emphasizing the need for privacy-preserving techniques, real-world case studies, and the integration of digital twins with decision support systems. Finally, the review discusses the broader implications of digital twin systems for transportation planning and policymaking, concluding by emphasizing the need for interdisciplinary collaboration and stakeholder engagement to fully realize the potential of digital twins in analyzing travel behavior decisions and shaping the future of transportation systems.

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数字孪生系统分析旅行行为决策的潜力
本综述探讨了数字孪生系统在更全面地反映旅行行为、支持交通规划和决策方面的潜力。本文介绍了数字孪生的概念、主要特征及其在包括交通在内的各个领域的应用。论文讨论了旅行行为分析中使用的传统方法及其局限性,以及数字孪生系统的潜在优势,如整合异构数据源、实时监控和预测,以及模拟和评估各种政策方案的能力。综述还确定了数字孪生系统的关键组成部分、与其实施相关的挑战,以及数字孪生和旅行行为分析相关方法的研究现状。论文强调了研究差距和未来方向,强调了对隐私保护技术、真实世界案例研究以及数字孪生与决策支持系统整合的需求。最后,论文讨论了数字孪生系统对交通规划和决策的广泛影响,最后强调了跨学科合作和利益相关者参与的必要性,以充分发挥数字孪生在分析出行行为决策和塑造未来交通系统方面的潜力。
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来源期刊
CiteScore
9.80
自引率
7.70%
发文量
109
期刊介绍: 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 behaviour, 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.
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