The twenty-first century is marked by new challenges and capabilities, both defined by the progress in Internet technologies, data science, and artificial intelligence (AI). Growth patterns are changing under the influence of digitalisation, the expansion of the Service Dominant Logic (Anttiroiko and Komninos, 2019), and the rise of 'prosumer' and sharing economies (Oskam and Boswijk, 2016; Ritzer and Jurgenson, 2010). Full and stable employment probably is no longer feasible due to automation expanding by rapid advances in AI and machine learning (Brynjolfsson and McAfee, 2011). Environmental sustainability and climate change are emerging as major threats to all cities, especially those closely located to sea level (UN-DESA, 2013), while a new science of data applications provides means for better forecasting and risk management (DeLyser and Sui, 2014; Hey et al., 2009). Cities are strongly affected by these changes. The character of urban development and planning are radically changing with the use of smart technologies and user engagement (Komninos et al., 2019). Cities are highly routinised places and many daily actions and decisions are based on standard operations in transportation, energy usage, utility networks, and location-based services. Consequently, cities offer multiple domains for pervasive application of AI, algorithms, and automation. The concept of the smart city envisages an automated future and the efficiency gains made possible by the automation of services and utilities (Batty, 2018). The promise of smart cities is that they can address more effectively complex contemporary problems of growth and sustainability and provide more intelligent systems of decision-making and innovation. Smart cities are introducing a new paradigm of urban planning and development that combines utopian visions and practical solutions for a more sustainable,