Observation of global smart city trends shows a shift in focus from sector-based interventions towards integrated decision-making informed by Big Data. This move towards integration is evident in the emergence of Integrated City Management Platforms (ICMPs). Despite the deluge of data generated by ICMPs and the accompanying growth in computing power, limited research has been conducted on exploring the use of this data to develop quantitative tools for integrated smart city planning and management. In this study, the Design Science Research process was followed to develop and evaluate a modelling framework aimed at exploring the use of ICMP data to identify synergies and dependencies across smart city sectors. This paper provides a summary of framework design and implementation and discusses the Design Science Knowledge gained from the exercise.

对全球智慧城市趋势的观察表明，重点已从基于部门的干预转向由大数据提供信息的综合决策。集成城市管理平台（ICMP）的出现明显证明了这种向集成的转变。尽管ICMP生成了大量数据，并且随之而来的是计算能力的增长，但在探索探索如何使用这些数据来开发用于集成智能城市规划和管理的定量工具方面，已经进行了有限的研究。在这项研究中，遵循了设计科学研究的过程，以开发和评估建模框架，旨在探索使用ICMP数据来识别智能城市部门之间的协同作用和依赖性。本文提供了框架设计和实现的摘要，并讨论了从练习中获得的设计科学知识。