透视图(图形)
计算机科学
大数据
分析
商业分析
持续性
软件
过程管理
数据分析
工程管理
数据科学
商业模式
知识管理
业务
业务分析
营销
工程类
人工智能
数据挖掘
操作系统
生态学
生物
程序设计语言
作者
Long He,Sheng Liu,Zuo‐Jun Max Shen
摘要
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.
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