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Title	Smart Urban Transport And Logistics: A Business Analytics Perspective
ID_Doc	51676
Authors	He L.; Liu S.; Shen Z.-J.M.
Year	2022
Published	Production and Operations Management, 31, 10
DOI	http://dx.doi.org/10.1111/poms.13775
Abstract	New technologies and innovative business models are leading to connected, shared, autonomous, and electric solutions for the tomorrow of urban transport and logistics (UTL). The efficiency and sustainability of these solutions are greatly empowered by the capability of understanding and utilizing the tremendous amount of data generated by passengers, drivers, and vehicles. In this study, we first review the innovative applications in UTL and several related research areas in the operations management (OM)/operations research (OR) literature. We then highlight the sources, types, and uses of data in different applications. We further elaborate on business analytics techniques and software developed to facilitate the planning and management of UTL systems. Finally, we conclude the paper by reflecting on the emerging trends and potential research directions in data-driven decision making for smart UTL. © 2022 Production and Operations Management Society.
Author Keywords	logistics; predictive analytics; prescriptive analytics; smart cities; transportation

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