Smart urban transport and logistics: A business analytics perspective
回顾了智慧城市交通与物流中的创新应用及相关运营管理研究，分析了数据来源与类型，并阐述了支持系统规划与管理的商业分析技术与软件，最后展望了数据驱动决策的研究方向。
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.