ABSTRACT
Traditional city planning methodologies based on master plans and comprehensive planning are inadequate to guide intelligent city planning. Intelligent cities, in contrast to centrally planned cities, are organised along a decentralised connectionist model in which knowledge functions are distributed among citizens, organisations, software entities, and smart devices. The roadmap uses conventional strategic planning methodologies, such as environmental scanning, foresight and scenario building, balanced scorecards, and measurement and benchmarking, placed under the building blocks of intelligent cities and leading to innovative practices, smart infrastructure, and e-services. The central role of users, producers and consumers in the design and development of e-services is leading intelligent city planning to rely on bottom-up than top-down processes. Measurement and assessment of intelligent city performance is about the monitoring of key performance indicators (KPIs), the creation of scoreboards, and the gathering of data and analytics, and about understanding the factors shaping the performance of cities.
