Smart cities are expected to improve the efficiency and effectiveness of urban management, including public services, public security, and environmental protection, and to ultimately achieve Sustainable Development Goal (SDG) 11 for making cities inclusive, safe, resilient, and sustainable. Big data have been identified as a key enabler in the development of smart cities. However, our understanding of how different data sources should be managed and integrated remains limited. By analyzing data applications in the development of a sustainable smart city, this case study identified three phases of development, each requiring a different approach to orchestrating diverse data sources. A framework identifying the phases, data-related issues, data orchestration and its interaction with other resources, focal capabilities, and development approaches is developed. This study benefits both researchers and practitioners by making theoretical contributions and by offering practical insights in the fields of smart cities and big data.

智慧城市有望提高城市管理的效率和有效性，包括公共服务、公共安全和环境保护，并最终实现可持续发展目标 (SDG) 11，使城市具有包容性、安全性、韧性和可持续性。大数据已被确定为智慧城市发展的关键推动力。但是，我们对如何管理和集成不同数据源的理解仍然有限。通过分析可持续智慧城市发展中的数据应用，本案例研究确定了三个发展阶段，每个阶段都需要不同的方法来协调不同的数据源。识别阶段、数据相关问题、数据编排及其与其他资源的交互、焦点能力、并制定了发展方法。这项研究通过在智慧城市和大数据领域做出理论贡献和提供实用见解，使研究人员和从业人员都受益。