A Systematic Study on the Integration of Smart City Technologies in Urban Planning and Governance in Europe

Authors

  • Sabina Bollano Faculty of Engineering Informatics and Architecture, European University of Tirana, Xhanfize Keko, Nd 56, Tirana, Albania

DOI:

https://doi.org/10.47672/ejt.2680

Keywords:

Smart City Technologies, Urban Planning, Governance, Internet of Things (IoT), Sustainability

Abstract

Purpose: The research examines how well innovative city technologies work in European town planning and management systems. This paper evaluates the implementation of integrated technologies starting from the 1990s to achieve social, environmental and economic targets in European cities.

Materials and Methods: The researchers use the DEMATEL (Decision-Making Trial and Evaluation Laboratory) approach as part of the multi-criteria decision-making methodology to study dependencies between various thematic components of smart cities. The process constructs a diagram that visualizes cause-and-effect connections by receiving assigned threshold values.

Findings: The research outlines technology, innovation, structure, life, environment, education, training, governance, and enga, which are not the core thematics in innovative city management. Establishing sustainable cities depends heavily on social cohesion, urban infrastructure, entrepreneurship systems, and healthcare infrastructure. To succeed, all innovative city initiatives need the focus elements of governance and engagement, education, training, and mobility.

Unique Contribution to Theory, Practice and Policy: For European cities to achieve smart city technology, they need to focus on governance, education combined with training, citizen engagement, the path to su, and development.

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References

Ahvenniemi, H.; Huovila, A.; Pinto-Seppä, I.; Airaksinen, M. What are the differences between sustainable and smart cities? Cities 2017, 60, 234–245. [CrossRef]

Al Nuaimi, E.; Al Neyadi, H.; Mohamed, N.; Al-Jaroodi, J. Applications of big data to smart cities. J. Internet Serv. Appl. 2015, 6, 25. [CrossRef]

Alfakeeh, A.S.; Javed, M.A. Efficient Resource Allocation in Blockchain-Assisted Health Care Systems. Appl. Sci. 2023, 13, 9625. [CrossRef]

Aline de Ávila, F. Estratégias e Iniciativas para a Mobilidade em Cidades Inteligentes; Trabalho de Conclusão de Curso, Engenharia Civil; Universidade Federal do Rio Grande do Sul UFRGS: Porto Alegre, Brazil, 2016. [Google Scholar]

Aloqaily, M.; Otoum, S.; Al Ridhawi, I.; Jararweh, Y. An intrusion detection system for connected vehicles in smart cities. Ad Hoc Networks 2019, 90, 101842. [CrossRef]

Amiri, M.; Sadaghiyani, J.S.; Payani, N.; Shafieezadeh, M. Developing a DEMATEL method to prioritize distribution centers in the supply chain. Manag. Sci. Lett. 2011, 1, 279–288. [CrossRef]

Aujla, G.S.; Singh, M.; Bose, A.; Kumar, N.; Han, G.; Buyya, R. BlockSDN: Blockchain-as-a-Service for Software Defined Networking in Smart City Applications. IEEE Netw. 2020, 34, 83–91. [CrossRef]

Bajdor, P.; Starostka-Patyk, M. Smart City: A Bibliometric Analysis of Conceptual Dimensions and Areas. Energies 2021, 14, 4288. [CrossRef]

Belli, L.; Cilfone, A.; Davoli, L.; Ferrari, G.; Adorni, P.; Di Nocera, F.; Dall’olio, A.; Pellegrini, C.; Mordacci, M.; Bertolotti, E. IoT-Enabled Smart Sustainable Cities: Challenges and Approaches. Smart Cities 2020, 3, 1039–1071. [CrossRef]

Ben Letaifa, S. How to strategize smart cities: Revealing the SMART model. J. Bus. Res. 2015, 68, 1414–1419. [CrossRef]

Bibri, S.E.; Alexandre, A.; Sharifi, A.; Krogstie, J. Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: An integrated approach to an extensive literature review. Energy Inform. 2023, 6, 9. [CrossRef] [PubMed]

Bibri, S.E.; Krogstie, J. Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustain. Cities Soc. 2017, 31, 183–212. [CrossRef]

Bresciani, S.; Ferraris, A.; Del Giudice, M. The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects. Technol. Forecast. Soc. Change 2018, 136, 331–338. [CrossRef]

Bueti, C.; Menon, M. The Evolution of Smart Sustainable. In IEEE Technology and Engineering Management Society Body of Knowledge; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 2023; pp. 205–218. [CrossRef]

Coccoli, M.; Guercio, A.; Maresca, P.; Stanganelli, L. Smarter universities: A vision for the fast changing digital era. J. Vis. Lang. Comput. 2014, 25, 1003–1011. [CrossRef]

Cunha, M.A.; Przeybilovicz, E.; Macaya, J.F.M.; Burgos, F. Smart Cities: Transformação Digital de Cidades; Programa Gestão Pública e Cidadania: São Paulo, Brazil, 2016; Available online: https://ceapg.fgv.br/sites/ceapg.fgv.br/files/u60/smart_cities_bra_versao_final.pdf

Dana, L.-P.; Salamzadeh, A.; Hadizadeh, M.; Heydari, G.; Shamsoddin, S. Urban entrepreneurship and sustainable businesses in smart cities: Exploring the role of digital technologies. Sustain. Technol. Entrep. 2022, 1, 100016. [CrossRef]

Dembski, F.; Wössner, U.; Letzgus, M.; Ruddat, M.; Yamu, C. Urban Digital Twins for Smart Cities and Citizens: The Case Study of Herrenberg, Germany. Sustainability 2020, 12, 2307. [CrossRef]

Dresch, A.; Lacerda, D.P.; Júnior, J.A.V.A. Design Science Research: Método de Pesquisa para Avanço da Ciência e Tecnologia; Bookman Editora: Porto Alegre, Brazil, 2015. [Google Scholar]

Fatimah, Y.A.; Govindan, K.; Murniningsih, R.; Setiawan, A. Industry 4.0 based sustainable circular economy approach for smart waste management system to achieve sustainable development goals: A case study of Indonesia. J. Clean. Prod. 2020, 269, 122263. [CrossRef]

Gabus, A.; Fontela, E. World Problems, an Invitation to Further Thought within the Framework of DEMATEL; Battelle Geneva Research Center: Geneva, Switzerland, 1972. [Google Scholar]

Gibson, D.V.; Kozmetsky, G.; Smilor, R.W. the Technopolis Phenomenon: Smart Cities, Fast Systems, Global Networks; Rowman & Littlefield: New York, NY, USA, 1992. [Google Scholar]

Gravina, R.; Alinia, P.; Ghasemzadeh, H.; Fortino, G. Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges. Inf. Fusion 2017, 35, 68–80. [CrossRef]

Hoang, A.T.; Pham, V.V.; Nguyen, X.P. Integrating renewable sources into energy system for smart city as a sagacious strategy towards clean and sustainable process. J. Clean. Prod. 2021, 305, 127161. [CrossRef]

Hromada, M.; Rehak, D.; Skobiej, B.; Bajer, M. Converged Security and Information Management System as a Smart City Infrastructure Resilience Assessment Tool. Smart Cities 2023, 6, 2221–2244] [CrossRef]

Javed, A.R.; Shahzad, F.; ur Rehman, S.U.; Zikria, Y.B.; Razzak, I.; Jalil, Z.; Xu, G. Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects. Cities 2022, 129, 103794. [CrossRef]

João Rafael da Cruz, G. Smart City: Desenvolvimento Sustentável, Sociedade de Controle e Cidade Inteligente. Master’s Thesis, Programa de Estudos Pós-Graduados em Comunicação e Semiótica, Pontifícia Universidade Católica de São Paulo PUC-SP, São Paulo, Brazil, 2015. [Google Scholar]

Koca, G.; Egilmez, O.; Akcakaya, O. Evaluation of the smart city: Applying the DEMATEL technique. Telemat. Inform. 2021, 62, 101625. [CrossRef]

Kolhe, R.V.; William, P.; Yawalkar, P.M.; Paithankar, D.N.; Pabale, A.R. Smart city implementation based on internet of things integrated with optimization technology. Meas. Sensors 2023, 27, 100789. [CrossRef]

Kumar, H.; Singh, M.K.; Gupta, M.; Madaan, J. Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework. Technol. Forecast. Soc. Change 2020, 153, 119281. [CrossRef]

Kumar, S.; Dixit, A.S.; Malekar, R.R.; Raut, H.D.; Shevada, L.K. Fifth generation antennas: A comprehensive review of design and performance enhancement techniques. IEEE Access 2020, 8, 163568–163593. [CrossRef]

Laufs, J.; Borrion, H.; Bradford, B. Security and the smart city: A systematic review. Sustain. Cities Soc. 2020, 55, 102023. [CrossRef]

Ma, D.; Zhu, Q. Innovation in emerging economies: Research on the digital economy driving high-quality green development. J. Bus. Res. 2022, 145, 801–813. [CrossRef]

Marinakis, V.; Doukas, H.; Tsapelas, J.; Mouzakitis, S.; Sicilia, Á.; Madrazo, L.; Sgouridis, S. From big data to smart energy services: An application for intelligent energy management. Futur. Gener. Comput. Syst. 2020, 110, 572–586. [CrossRef]

Metallidou, C.K.; Psannis, K.E.; Egyptiadou, E.A. Energy Efficiency in Smart Buildings: IoT Approaches. IEEE Access 2020, 8, 63679–63699. [CrossRef]

Mohammad, N. A multi-tiered defense model for the security analysis of critical facilities in smart cities. IEEE Access 2019, 7, 152585–152598. [CrossRef]

Mora, L.; Bolici, R.; Deakin, M. The First Two Decades of Smart-City Research: A Bibliometric Analysis. J. Urban Technol. 2017, 24, 3–27. [CrossRef]

Nam, T.; Pardo, T.A. Conceptualizing smart cities with dimensions of technology, people, and institutions. In Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, College Park, MD, USA, 12–15 June 2011. [Google Scholar]

Pahan, M.A.; Mendes, S.L.; Breda, D.G. Construindo Cidades Inteligentes; Editora Appris: Mercês, Brazil, 2016. [Google Scholar]

Qureshi, M.A.; Khaskheli, A.; Qureshi, J.A.; Raza, S.A.; Yousufi, S.Q. Factors affecting students’ learning performance through collaborative learning and engagement. Interact. Learn. Environ. 2021, 31, 2371–2391. [CrossRef]

Rahman, A.; Srikumar, V.; Smith, A.D. Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks. Appl. Energy 2018, 212, 372–385. [CrossRef]

Ramírez-Márquez, C.; Posadas-Paredes, T.; Raya-Tapia, A.Y.; Ponce-Ortega, J.M. Natural Resource Optimization and Sustainability in Society 5.0: A Comprehensive Review. Resources 2024, 13, 19. [CrossRef]

Rana, N.P.; Luthra, S.; Mangla, S.K.; Islam, R.; Roderick, S.; Dwivedi, Y.K. Barriers to the Development of Smart Cities in Indian Context. Inf. Syst. Front. 2019, 21, 503–525. [CrossRef]

Raza, U.; Kulkarni, P.; Sooriyabandara, M. Low Power Wide Area Networks: An Overview. IEEE Commun. Surv. Tutor. 2017, 19, 855–873. [CrossRef]

Sen, M.K.; Dutta, S.; Kabir, G.; Pujari, N.N.; Laskar, S.A. An integrated approach for modelling and quantifying housing infrastructure resilience against flood hazard. J. Clean. Prod. 2021, 288, 125526. [CrossRef]

Sharifi, A.; Khavarian-Garmsir, A.R.; Allam, Z.; Asadzadeh, A. Progress and prospects in planning: A bibliometric review of literature in Urban Studies and Regional and Urban Planning, 1956–2022. Prog. Plan. 2023, 173, 100740. [CrossRef]

Shimizu, T. Decisão nas Organizações, 3rd ed.; Editora Atlas: São Paulo, Brazil, 2010. [Google Scholar]

Si, S.-L.; You, X.-Y.; Liu, H.-C.; Zhang, P. DEMATEL technique: A systematic review of the state-of-the-art literature on methodologies and applications. Math. Probl. Eng. 2018, 2018, 3696457. [CrossRef]

Simonofski, A.; Vallé, T.; Serral, E.; Wautelet, Y. Investigating context factors in citizen participation strategies: A comparative analysis of Swedish and Belgian smart cities. Int. J. Inf. Manag. 2021, 56, 102011. [CrossRef]

Soyata, T.; Habibzadeh, H.; Ekenna, C.; Nussbaum, B.; Lozano, J. Smart city in crisis: Technology and policy concerns. Sustain. Cities Soc. 2019, 50, 101566. [CrossRef]

Sun, M.; Zhang, J. Research on the application of block chain big data platform in the construction of new smart city for low carbon emission and green environment. Comput. Commun. 2020, 149, 332–342. [CrossRef]

Szpilko, D.; De La Torre Gallegos, A.; Jimenez Naharro, F.; Rzepka, A.; Remiszewska, A. Waste Management in the Smart City: Current Practices and Future Directions. Resources 2023, 12, 115. [CrossRef]

Teng, H.; Liu, Y.; Liu, A.; Xiong, N.N.; Cai, Z.; Wang, T.; Liu, X. A novel code data dissemination scheme for Internet of Things through mobile vehicle of smart cities. Futur. Gener. Comput. Syst. 2019, 94, 351–367. [CrossRef]

United Nations. Department of Economic and Social Affairs, Population Division. World Urbanization Prospects: The 2018 Revision, Online Edition. 2018. Available online: https://population.un.org/wup/Publications/Files/WUP2018-PopFacts_2018-1.pdf (accessed on 22 April 2023).

Van Eck, N.J.; Waltman, L. How to normalize co-occurrence data? An analysis of some well-known similarity measures. J. Am. Soc. Inf. Sci. Technol. 2009, 60, 1635–1651. [CrossRef]

Wang, W.; Xia, F.; Nie, H.; Chen, Z.; Gong, Z.; Kong, X.; Wei, W. Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 2020, 22, 3567–3576. [CrossRef]

Westraadt, L.; Calitz, A. A modelling framework for integrated smart city planning and management. Sustain. Cities Soc. 2020, 63, 102444. [CrossRef]

Zanella, A.; Bui, N.; Castellani, A.; Vangelista, L.; Zorzi, M. Internet of Things for Smart Cities. IEEE Internet Things J. 2014, 1, 22–32. [CrossRef]

Zaręba, A.; Krzemińska, A.; Kozik, R. Urban Vertical Farming as an Example of Nature-Based Solutions Supporting a Healthy Society Living in the Urban Environment. Resources 2021, 10, 109. [CrossRef]

Zhao, L.; Wang, J.; Liu, J.; Kato, N. Optimal Edge Resource Allocation in IoT-Based Smart Cities. IEEE Netw. 2019, 33, 30–35. [CrossRef]

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Published

2025-04-21

How to Cite

Bollano, S. (2025). A Systematic Study on the Integration of Smart City Technologies in Urban Planning and Governance in Europe. European Journal of Technology, 9(1), 1–34. https://doi.org/10.47672/ejt.2680

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