URBANISATION

According to the UN World Urbanisation Prospects, by 2050, nearly 70% of the world population will live in cities. This means that the emerging new world is an intensely urbanised place. The TAI/T Mindful Smart City Roadmap provides therapeutic solutions to urban systems and supports their transition into more mindful spaces for all.

Urbanisation in Charts

HISTORY OF SMART CITIES

Smart cities first appeared in the literature during the 1990s. Van Bastelaer (1998) in digital cities and transfer-ability of results put forward an argument on the seemingly increasing gap/distance between the so-called traditional public and private sector, increasing distance between people and the government, and the radical shift in the degree of globalisation and changes in the classical tendencies of the public sector in general.

With this degree of complexity, Van Bastelaer (1998) proposed the concept of “digital cities” as the following: “Digital cities can be seen as laboratories of integration of multimedia technology within the public space (Van Bastelaer, 1998)”. The concept of Digital cities was created as a business as a usual solution to facilitate communication between the ever disengaged communities and the ever-frustrated governments in the European cities. In other words, the digital cities were originally seen as an alternative spatial dimension called “an online community” to revitalise the broken and disrupted connection between people and governments. In short, the rationale behind the digital city had assumed that the problem of communication between people and governments is logical. As a result, it can be solved by introducing mechanical and managerial solutions. Since the appearance of digital cities, the fleeting feelings of “loss of communities”, “sense of belonging”, “membership”, and “being a part of something bigger than oneself” was less and less appreciated. However, literature has taken a business-as-usual turn and is filled with a diverse range of mechanical formulations on how urban systems can become smart (i.e., digital).

Two decades after the original conceptualisation, the literature on smart cities is yet to arrive at a universal framework, ideology, and definition of a Smart City. Anthopoulos and Fitsilis (2013) argue that the conceptualisation of smart cities concerning definitions and perspectives is still very confusing. Smart cities have attracted the attention of scientific communities, political parties, and industries. However, without a common platform, view, or vision, these disciplines provide separated and isolated versions of smart cities (Anthopoulos and Fitsilis, 2013). Other scholars and practitioners have commonly shared their concerns over this widely disintegrated framework of smart cities. They have tried to provoke the foundation over which future cities and digital ICT platforms should merge. For example, with the integration of ICT platforms into urban systems, concepts such as sustainable development, social cohesion, place-making and sense of place, citizens and their rights to the city, resilience, and adaptation to future shocks must be integral if not primarily part of smartificiation of societies and urban systems henceforth.

Smartificiation of cities implies the integration of Artificial Intelligence (AI) employing sensors to the cities’ infrastructure systems for virtually recreating and mimicking a portion of fundamental human cognitive capabilities such as learning and rational decision making. As we rapidly move toward this format of smartificiation trend, Rodrigues (2016) argues that although technology facilitates the interconnection of social and technical systems, issues such as governmentality, the political dimension of data generation, and data sharing must be at the forefront of the process of smartificiation. Therefore, it is necessary to consider “the logic and objectives over which smart cities conceptualisation have been implemented, cause and effect that jeopardise the possibility of achieving a situation of spatial justice in urban systems (Rodrigues, 2016).”

TAI/T analysis of a collection of definitions and important, relevant literature demonstrates that most current smart city definitions are focused on defining the ‘label’ of Smart City, albeit they share one common denominator throughout, the linking of ICT infrastructure systems to cities.

Some scholars emphasise the actuality of ICT platforms with an undercurrent tone of Capitalism. Others view ICT platforms as a form of means to a higher-end such as happiness, well-being, or sustainability. Nevertheless, the notion of means to ends schools of thought by itself can not solve some of the most complex urban challenges such as social justice, sense of place, citizens’ rights to cities, gentrification, resilience against future shocks, social cohesion, energy consumption, privacy, autonomy, and smartificiation in general.

 
 
 
 

RETHINKING SMART CITIES

The need for a clear and socially sensitive smart city formulation:

Many scholars have tried to define smart cities with so much confusion over the philosophical foundation of Smart Cities. At TAI/T, we analysed these definitions and discovered three main categories and levels representing smart cities. These include:

  • “The use of Smart Computing technologies to make the critical infrastructure components and services of a city which include city administration, education, healthcare, public safety, real estate, transportation, and utilities more intelligent, interconnected, and efficient (Washburn et al., 2010).”

  • Komninos views Smart Cities as ‘territories’. “Smart Cities as territories with high capacity for learning and innovation which is built-in the creativity of their population, their institutions of knowledge creation, and their digital infrastructure for communication and knowledge management (Komninos 2011)”.

  • “A Smart City is understood as a certain intellectual ability that addresses several innovative socio-technical and socio-economic aspects of growth. These aspects lead to Smart City conceptions as “green” referring to urban infrastructure for environment protection and reduction of CO2 emission, “interconnected” related to revolution of broadband economy, “intelligent” declaring the capacity to produce added value information from the processing of city’s real- time data from sensors and activators, whereas the terms “innovating” “knowledge” cities interchangeably refer to the city’s ability to raise innovation based on knowledgeable and creative human capital (Zygiaris 2013).”

 
 

Currently Smart Cities’ paradigm is linear, top-down and mechanical:

Smart cities of today are built by adding technological intelligence to city infrastructures. However, improving the urban quality of life needs more than technological smartness. Delivering truly smart cities requires a resilient way to integrate technical layers into the social dimension without compensating for privacy, human rights, inclusivity, spontaneity, and the organic nature of cities.

The need for a hybrid approach to smart city creation:

More people in cities means more need for a mixed approach of both hard and soft technologies is needed to transform cities into inclusive living spaces for all. This shift of thinking signifies that delivering smart cities is more than technological evolution. There is a need for cultural, psychological, spiritual, and behavioural transformation and renaissance.

Addressing digital literacy in smart cities:

We need to develop a global sustainability learning ladder in smart cities. Digital technologies can be harnessed to educate communities on ecosystem and societies’ resilience and sustainability. Urban education should be aimed around key SDG goals 1, 2, 4, 5, 6, 7, 8, 9, 10, and 11. The combined impact of these goals can create a fertile vector for addressing more complex and systemic goals such as goals 13, 14, 15, 16, 17, and 3. 

The need to transform smart cities into evolutionary learning spaces:

By 2020 there will be more than 6 billion smartphones worldwide (Statista 2022). This unprecedented growth of digital users provides a fertile ground to develop a global sustainability learning ladder in cities across the globe, enabling smart cities to move from e-learning to M-learning (mobile learning), U-learning (ubiquitous learning), and S-learning (smart learning).

Striving for active citizenship and participatory governance in smart cities:

Carlo Ratti (2013) emphasises that “…A Smart City isn’t made by people responding to inputs but by citizens performing an essential role: leading in the data collection and sharing process. Connected citizens are the engine of urban change in the future city”. Creating ecosystems and enabling an authentic connection between people calls for an emotionally educated leader because an emotionally aware leadership makes the community feel safe to explore the new frontiers of science. Citizens view and interpret ‘Smart’ as something beyond what ICT platforms could ever provide. People want to feel connected to something meaningful. People want their voices to be heard rather than supplied with soulless machines, sensors, applications, and social engineering. In short, people recognise ‘the value of digitally-enabled spaces’ when they feel included in something with the right balance of newness and connection to the past.  

Striving for smart in terms of augmenting higher values in cities:

A lack of interconnection of ICT-enabled platforms with the emotional, psychological, cultural, and spiritual aspects of life, combined with the inherent uncertainty brought about by digitalisation, are all areas that require collective thinking. Therefore, It is necessary to build a value proposition for non-ICT-related elements such as cultural diversity and implicit and abstract components such as love, compassion, empathy, kindness, respect, and mindfulness in framing the future smart cities.