The Impact of Artificial Intelligence in Smart City Governance

Author: Stran Star1
1Department of Architecture Engineering, Faculty of Engineering, Tishk International University, Erbil, Iraq

Abstract: Smart cities are the new relevant entities in urban planning concept that are economically, socially, ecologically, politically relevant and, of course, culturally relevant as well. A strong urban infrastructure, service management layout aims to create a digital blueprint which is a very backbone of the smart cities. AI short for Artificial intelligence has been under development since 1950´s with the availability of rapid information, and communication data collection. AI is said to be the biggest disruptor of all times; Thus, AI market has grown substantially over the last decade and it´s expected to grow 20% annually over the next few years (Liu, 2020). AI may even evoke many different opinions and science fiction images in us. Some may perceive AI as a threat, and some may fear that artificial intelligence will take their jobs in the future. Threat images may have been painted in people’s minds because not enough is simply known about AI, as well as the benefits that mankind can achieve with the solution to many health, economic, and security problems in future smart cities. The variety of integration of different innovations that serve humankind in smart cities provides another level of support for its users while boosting the socio-economic development of any city into a competitive one. The smart cities of tomorrow work as a collected layers of information matrix with complex capacity of innovations controlled by main information, and communication technology known as (ICT)´s. To offer high-quality services system, smart cities aim to create sustainable, cost-efficient, and safe environments with the help of AI to augment shortages in a growing city. In this paper we will discuss AI´s role in the improvement of service system for high quality living standard and social perspective of cities that we are seeing today. This paper´s objective is to highlight how AI will impact urban planning in governmental aspect, and over all planning profession? How can AI be benefited to ensure equitable outcome for service management in smart cities? This paper explains the processes of planning, maintaining, and operating in urban infrastructure level in smart cities. Namely, first, the distinction of service system that are being provided based on performance of urban infrastructure systems. Secondly, the emerging role of the information and communication technologies known as ICT´s that has become known as digital blueprint for smart cities. Lastly, the important steps in managerial and governments consideration which are necessary to unleash the potential ability of AI in smart cities.

Keywords: Artificial Intelligence (AI), Digital Blueprint, Information, Communication Technology (ICT´S), Smart City, Space Syntax, Ubiquitous City, Urban Planning

Download the PDF Document

Doi: 10.23918/eajse.v7i2p90

Published: January 1, 2022


Batty, M. (2017). Geocomputation. Environment and Planning B: Urban Analytics and City Science, 44(4), 595-597.

Batty, M., & Yeh, T. (1991). The promise of expert systems for urban planning. Computers, Environment and Urban Systems, 15(3), 101-108.

Brynjolfsson, E., & McAfee, A. (2011). Race against the machine: How the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy. Brynjolfsson and McAfee.

Caragliu, A., Del Bo, C., & Nijkamp, P. (2011). Smart cities in Europe. Journal of Urban Technology, 18(2), 65-82.

Carter, W. A. (2018). National machine intelligence strategy for the United States.

Cohen, B. (2012). The top 10 smart cities on the planet. Co. Exist, pp.11-14

Cugurullo, F. (2020). Urban artificial intelligence: From automation to autonomy in the smart city. Frontiers in Sustainable Cities, 2, 38.

Eadicicco, L. (2015). Americans check their phones 8 billion times a day. Time Magazine, 15.

Gibbs, S. (2015). Musk, Wozniak and Hawking urge ban on warfare AI and autonomous weapons. The Guardian, 27.

Harari, Y. N. (2016). Homo Deus: A brief history of tomorrow. Random House.

Hollands, R. G. (2008). Will the real smart city please stand up? Intelligent, progressive or entrepreneurial? City, 12(3), 303-320.

Komninos, N. (2006, July). The architecture of intelligent cities: Integrating human, collective and artificial intelligence to enhance knowledge and innovation. In 2006 2nd IET International Conference on Intelligent Environments-IE 06 (Vol. 1, pp. 13-20). IET.

Kurzweil, R. (2005). The singularity is near. When humans transcend Biology. Viking, A Member of Penguin Group. Inc., New York, New York.

Li, X., Lu, R., Liang, X., Shen, X., Chen, J., & Lin, X. (2011). Smart community: an internet of things application. IEEE Communications Magazine, 49(11), 68-75.

Lozano, R. (2008). Envisioning sustainability three-dimensionally. Journal of Cleaner Production, 16(17), 1838-1846.

Maglio, P. P., Srinivasan, S., Kreulen, J. T., & Spohrer, J. (2006). Service systems, service scientists, SSME, and innovation. Communications of the ACM, 49(7), 81-85.

Marshall, J. D., & Toffel, M. W. (2005). Framing the elusive concept of sustainability: A sustainability hierarchy. Environmental Science & Technology, 39(3), 673-682.

Naphade, M., Banavar, G., Harrison, C., Paraszczak, J., & Morris, R. (2011). Smarter cities and their innovation challenges. Computer, 44(6), 32-39.

Openshaw, S., & Openshaw, C. (1997). Artificial intelligence in geography. John Wiley & Sons, Inc.

Seisdedos, G. (2012) Qué es una Smart City? BIT Numerical Mathematics, 188, 35-37.

Star, S. (2021). The loose space: New methodology for thriving urban city. Eurasian Journal of Science and Engineering, 7(1), 84-96.

Troisi, O., D’Arco, M., Loia, F., & Maione, G. (2018). Big data management: The case of Mulino Bianco’s engagement platform for value co-creation. International Journal of Engineering Business Management, 10,

Turok, I., & McGranahan, G. (2013). Urbanization and economic growth: the arguments and evidence for Africa and Asia. Environment and Urbanization, 25(2), 465-482.

Visvizi, A., Mazzucelli, C., & Lytras, M. (2017). Irregular migratory flows: Towards an ICTs’ enabled integrated framework for resilient urban systems. Journal of Science and Technology Policy Management.

Wadhwa, V. (2016). The amazing artificial intelligence we were promised is coming, finally. Washington Post, June, 17, 2016.

Washburn, D., Sindhu, U., Balaouras, S., Dines, R. A., Hayes, N., & Nelson, L. E. (2009). Helping CIOs understand “smart city” initiatives. Growth, 17(2), 1-17.

Zhu, W. (2021). Artificial Intelligence and Urban Governance: Risk Conflict and Strategy Choice. Open Journal of Social Sciences, 9(04), 250.

Zygiaris, S. (2013). Smart city reference model: Assisting planners to conceptualize the building of smart city innovation ecosystems. Journal of the Knowledge Economy, 4(2), 217-231.