Unleashing the power of digital twin and big data as a new frontier for smart mobility: An ecosystem perspective

IF 4.2 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Big Data Research Pub Date : 2026-02-28 Epub Date: 2025-11-24 DOI:10.1016/j.bdr.2025.100576

Francesca Loia , Claudia Perillo , Ginevra Gravili

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引用次数: 0

Abstract

Nowadays, a new concept of the smart city, driven by technological advancements, has emerged with a significant impact on various domains, including mobility. Among these technologies, the digital twin has recently gained attention; however, its impact on smart mobility, particularly in correlation with big data, remains underexplored. Based on these considerations, this paper aims to investigate the role of digital twin technology in conjunction with big data in the context of smart mobility.

A case study approach has been adopted to analyze the Italian context. Results highlight the ecosystem elements and identify the primary drivers for sustainable growth in integrating digital twin and big data technologies within smart mobility. Two iterative loops have been identified connecting technology service providers with mobility stakeholders, illustrating how artificial intelligence-driven, user-centric mobility solutions are co-created through perceptive and responsive mechanisms, and linking mobility stakeholders with end-users, enhancing operational efficiency through user generated knowledge, ultimately leading to improved mobility experiences and urban transportation systems.

This study contributes to the literature by providing a structured analysis of digital twin applications in smart mobility, emphasizing the interplay between big data and ecosystem dynamics. The findings offer theoretical and practical implications, highlighting opportunities for policymakers, technology providers, and mobility operators to foster sustainable and data-driven urban mobility solutions. Finally, directions for future research are discussed, outlining potential advancements in digital twin integration for smart mobility ecosystems.

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释放数字孪生和大数据的力量，作为智能移动的新前沿：生态系统视角

如今，在技术进步的推动下，智慧城市的新概念已经出现，对包括交通在内的各个领域产生了重大影响。在这些技术中，数字孪生最近引起了人们的关注；然而，它对智能出行的影响，特别是与大数据相关的影响，仍未得到充分探索。基于这些考虑，本文旨在研究数字孪生技术与大数据在智能移动环境中的作用。本文采用案例研究的方法来分析意大利的背景。结果强调了生态系统要素，并确定了在智能移动中集成数字孪生和大数据技术的可持续增长的主要驱动因素。已经确定了两个迭代循环，将技术服务提供商与移动出行利益相关者联系起来，说明如何通过感知和响应机制共同创建人工智能驱动的、以用户为中心的移动出行解决方案，并将移动出行利益相关者与最终用户联系起来，通过用户生成的知识提高运营效率，最终改善移动出行体验和城市交通系统。本研究对数字孪生在智能移动中的应用进行了结构化分析，强调了大数据与生态系统动态之间的相互作用。研究结果具有理论和实践意义，为政策制定者、技术提供商和移动运营商提供了促进可持续和数据驱动的城市移动解决方案的机会。最后，讨论了未来的研究方向，概述了智能移动生态系统中数字孪生集成的潜在进展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Big Data Research Computer Science-Computer Science Applications

CiteScore

8.40

自引率

3.00%

发文量

期刊介绍： The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.