Defining the Dimensions and Influential Components of Smart Cities with an Emphasis on Energy Efficiency

Document Type : Articles extracted from Thesis

Authors

Department of Urban Design & Planning, Art Faculty, University of Bojnord, Bojnord, Iran

10.22034/future.2026.24526.1034

Abstract

A B S T R A C T
The energy issue is one of the most critical challenges and controversial topics of the current century worldwide. Given the current situation, the need for cities to seek smart and sustainable solutions to address these challenges is imperative. Despite the growing body of literature on the role of smart cities in energy management, a conspicuous research gap remains in developing a comprehensive framework that elucidates the dimensions and components affecting energy efficiency. Therefore, aiming to bridge this theoretical gap, the present study identifies the key dimensions and components of energy efficiency and, for the first time, classifies and presents them within a comprehensive conceptual framework across three spatial scales: macro, meso, and micro. To achieve the research objective, a qualitative methodology based on a literature review was employed. Data regarding the dimensions and components of energy efficiency in smart cities were extracted from selected articles; alongside the literature review, domestic and international experiences were also examined. The findings indicate that the effective dimensions of smart cities regarding energy efficiency include: at the macro scale (energy structure, investment bodies, spatial, social, economic, environmental, political, technological, innovation, and physical-spatial); at the meso scale (technical, functional, physical-spatial, mobility, environmental quality, energy, lighting, urban vitality, and urban regeneration); and at the micro scale (modeling, environmental sustainability, energy, lighting, materials, smart environment, and physical form). The final outcome of this research is a conceptual framework of smart city dimensions and components emphasizing energy efficiency.
Extended Abstract
Introduction
Given that cities account for a significant portion of global primary energy consumption, optimal energy management and a transition to renewable sources have become vital imperatives for ensuring environmental sustainability and the well-being of future generations. Within this framework, the concept of smart cities has emerged as a key strategy to confront energy challenges and promote sustainable development. By leveraging advanced technologies, smart cities possess the potential to enhance energy efficiency, improve citizens’ quality of life, and prevent environmental and social disruptions. Although substantial progress has been made in recent years concerning smart cities and energy efficiency solutions, a significant research gap persists regarding the precise identification and clarification of the dimensions and components that influence achieving energy efficiency in this context. The absence of a comprehensive understanding of these dimensions and components represents a major barrier to designing, developing, and implementing effective strategies for attaining energy-efficient and sustainable smart cities. This study aims to fill this theoretical gap by identifying the key dimensions and components affecting energy efficiency and, for the first time, classifying and presenting them within a comprehensive three-level conceptual framework comprising macro, meso, and micro scales. This three-tiered framework facilitates a deeper understanding and more targeted policy-making to enhance energy efficiency in smart cities.
 
Methodology
This study employs a qualitative literature review methodology, during which relevant sources were collected from reputable global databases such as Web of Science, Scopus, Elsevier, Google Scholar, as well as domestic databases including MagIran, the Scientific Information Database of Jahad Daneshgahi, IranDoc, and ElmNet. The study population comprises articles published between 2015 and 2025 in English and between 1394 and 1404 (2015–2025 Gregorian calendar) in Persian. These articles were then evaluated based on criteria including topical relevance, publication quality in scientific-research journals, availability of full text, and conformity with the specified time frame.
 
Results and Discussion
Emphasizing the criteria outlined in the PRISMA standard checklist, a total of 19 selected articles (16 English and 3 Persian) were ultimately included for analysis. Beyond the literature review, to enrich the research and better understand practical applications, relevant national and international field studies and experiences were also evaluated. The integration of these reviews with the analysis of practical experiences of smart cities worldwide resulted in the development of the final conceptual framework for energy efficiency in smart cities, which is hierarchically organized into three levels: macro, meso, and micro. At the macro level, a variety of dimensions including energy structure, institutional and investment dimensions, spatial, social, economic, environmental, political, technological, innovation, and physical-spatial aspects are considered, which play a fundamental role in shaping policies, high-level decision-making, and strategic orientations of smart cities. This level determines the quality of governance, technological capacities, and institutional-investment infrastructures that form the foundation for sustainable development. The meso level encompasses dimensions such as technical, functional, physical-spatial, transportation, environmental quality, energy, lighting, vitality, and urban regeneration, acting as a bridge between macro policies and micro-level actions. This level often faces challenges related to institutional coordination and urban management and plays a vital role in translating overarching goals into actionable programs. At the micro level, components such as energy consumption modeling, environmental sustainability, energy, lighting, materials, smart environment, and physical form directly influence energy consumption behavior and cover the domains of design, construction, operation, and management of micro-urban equipment and spaces.
 
Conclusion
The study’s findings indicate that enhancing energy efficiency in smart cities requires simultaneous interaction and synergy among technological, social, institutional, and physical dimensions across all three levels, and cannot be limited merely to the deployment of smart technologies. These findings align with previous studies and emphasize the importance of effective governance, active citizen participation, and targeted investments within a coherent policy framework. Moreover, identifying multidimensional components and integrating them into urban planning and management processes will serve as the primary pathway toward significantly improving energy efficiency. Among the main limitations of this study are the lack of comprehensive empirical data and restricted access to some key sources, challenges that have reduced the precision of comparative analyses. Accordingly, future research is recommended to expand the scope of the study and utilize applied modeling and scenario analysis to test and validate the proposed framework, thereby enhancing its practical applicability across different geographical and managerial levels. The significance of the proposed three-level framework lies not only in highlighting the interdisciplinary and multidimensional nature of the energy efficiency issue but also in providing scientifically grounded and practical guidance for researchers, urban managers, and planners to design targeted strategies, interventions, and projects aimed at sustainable urban development. This framework can serve as a solid foundation for future research and policymaking related to energy-oriented smart cities.
 
Funding
There is no funding support.
 
Authors’ Contribution
The research design, data collection, analysis of findings, and writing of all parts of this article were carried out by Salvi Beheshti Asl, and Javad Imanishamlou was responsible for scientific guidance and supervision of all stages of the research.
 
Conflict of Interest
Authors declared no conflict of interest.
 
Acknowledgments
We are grateful to all the scientific consultants of this paper.

Keywords


  1. Appio, F., Lima, M., & Paroutis, S. (2019). Understanding Smart Cities: Innovation ecosystems, technological advancements, and societal challenges. Technological Forecasting and Social Change, 142, 1-14. https://doi.org/10.1016/j.techfore.2018.12.018
  2. Arup. (2008). Fact Sheet for Dongtan Eco-city. Arup Press Office, London, UK. https://ibgeography-atl-meadow.weebly.com/uploads/5/9/8/2/5982078/dongtan.pdf
  3. Barcelona, T. d. (2025, May 7). Tourism of Barcelona – Official Website. https://www.barcelonaturisme.com/wv3/en
  4. Baskar, S., Periyanayagi, S., Mohamed Shakeel, P., & Sarma Dhulipala, V. (2019). An energy persistent Range-dependent Regulated Transmission Communication model for vehicular network applications. Computer Networks, 152, 144-153. https://doi.org/10.1016/j.comnet.2019.01.027
  5. Bibri, S. E., Huang, J., Omar, O., & Kenawy, I. (2025). Synergistic integration of digital twins and zero energy buildings for climate change mitigation in sustainable smart cities: A systematic review and novel framework. Energy & Buildings, 333, 115484. https://doi.org/10.1016/j.enbuild.2025.115484
  6. Chang, I.-C., & Sheppard, E. (2013). China’s Eco-Cities as Variegated Urban Sustainability: Dongtan Eco-city and Chongming Eco-Island. Journal of Urban Technology, 20(1), 57-75. doi:10.1080/10630732.2012.735104
  7. Chen, N. & Chen, Y. (2018). Smart city surveillance at the network edge in the era of IoT: Opportunities and challenges. In Smart Cities: Development and Governance Frameworks, 153–176. Springer. https://doi.org/10.1007/978-3-319-76669-0_7
  8. Cheng, H., & Hu, Y. (2010). Planning for sustainability in China's urban development: Status and challenges for Dongtan eco-city project. Journal of Environmental Monitoring, 12, 119-126. doi:10.1039/B911473D
  9. Cortese, T. T. P., Almeida, J. F. S. d., Batista, G. Q., Storopoli, J. E., Liu, A., & Yigitcanlar, T. (2022). Understanding Sustainable Energy in the Context of Smart Cities: A PRISMA Review. Energies, 15(7), 2382. https://doi.org/10.3390/en15072382
  10. D’Eramo, A. (2021). Masdar City: A Study of Energy, Infrastructure, and Technological Hope. SMU Journal of Undergraduate Research, 6(1). https://doi.org/10.25172/jour.6.1.3
  11. Davies, A. & Frederiksen, L. (2008). Overview of the Dongtan project. The University of Tokyo – Imperial College London Joint Symposium on Innovation in Energy Systems, Tokyo and London. https://www.imperial.ac.uk/events/114419/the-university-of-tokyo-imperial-college-london-joint-symposium-on-innovation-in-energy-systems/
  12. Dong, F., Li, Y., Li, K., Zhu, J., & Zheng, L. (2022). Can smart city construction improve urban ecological total factor energy efficiency in China? Fresh evidence from generalized synthetic control method. Energy, 241, 122909. https://doi.org/10.1016/j.energy.2021.122909
  13. Ebadi Nejad, M., Taheri Damaneh, M., & Zakeri, A. (2021). Retrospective for the realization of smart city in the horizon of 2041 (Case study: Isfahan City). Future Cities Perspective, 2(4), 1-23. [In Persian]
  14. Encyclopædia Britannica. (2025, May 7). Helsinki. https://www.britannica.com/place/Helsinki
  15. Encyclopædia Britannica. (2025, May 7). Medellín. https://www.britannica.com/place/Medellin-Colombia
  16. Encyclopædia Britannica. (2025, May 7). Singapore. https://www.britannica.com/place/Singapore
  17. Esfandi, S., Tayebi, S., Byrne, J., Taminiau, J., Giyahchi, G., & Alavi, S.A. (2024). Smart Cities and Urban Energy Planning: An Advanced Review of Promises and Challenges. Smart Cities, 7(1), 414–444. https://doi.org/10.3390/smartcities7010016
  18. European Investment Bank. (2012). JESSICA for smart and sustainable cities: Horizontal study, final report. Luxembourg: European Investment Bank. https://www.eib.org/attachments/documents/jessica_horizontal_study_smart_and_sustainable_cities_en.pdf
  19. Fathy, H., & Shearer, W., & Sultan, A. (1986). Natural energy and vernacular architecture: Principles and examples with reference to hot arid climates. Chicago: University of Chicago Press. https://archive.org/details/naturalenergyver0000fath
  20. Futeh Bafan, M. H., Pourmohammadi, M. R., & Hosseinzadeh Dalir, K. (2024). Investigating the factors affecting the reduction of urban energy consumption for the sustainability of smart metropolises (Case study: Tabriz). Geography and Regional Planning, 14(56), 247-262. https://doi.org/10.22034/jgeoq.2023.349317.3760 [In Persian]
  21. Gensler. (2013). New Giza, Cairo, Egypt. Retrieved May 24, 2013, from Gensler: http://m.gensler.com/project/new-giza?service=planning-urban-design
  22. Ghanbari, A., Vaezi, M., & Bakouei, M. (2021). Evaluation of the impact of land use planning on energy consumption (Case study: Tabriz City). Geographical Space Quarterly, 21(73), 55-72. [In Persian]
  23. Hajduk, S., & Jelonek, D. (2021). A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy. Energies, 14(9), 2691. https://doi.org/10.3390/en14092691
  24. Head, P., & Lawrence, J. (2008). CTBUH 8th World Congress. Dubai, UAE: Council on Tall Buildings and Urban Habitat. https://global.ctbuh.org/resources/papers/download/1310-urban-development-to-combat-climate-change-dongtan-eco-city-and-risk-management-stratagies.pdf
  25. IDRC, & Abdel-Gawad, S. (2011). International Development Research Center. Retrieved July 10, 2013, http://web.idrc.ca/en/ev-127200-201-1-DO_TOPIC.html
  26. Jegadeesan, S., Azees, M., Malarvizhi Kumar, P., Manogaran, G., Chilamkurti, N., Varatharajan, R., & Hsu, C.-H. (2019). An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications. Sustainable Cities and Society, 49, 101522. https://doi.org/10.1016/j.scs.2019.101522
  27. Jenks, M., & Jones, C. (2010). Dimensions of the sustainable city (Future Cities, Vol. 2). New York: Springer. https://doi.org/10.1007/978-1-4020-8647-2
  28. Kim, H., Choi, H., Kang, H., An, J., Yeom, S., & Hong, T. (2021). A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities. Renewable and Sustainable Energy Reviews, 140, 110755. https://doi.org/10.1016/j.rser.2021.110755
  29. Köppen, W. (1900). Versuch einer Klassifikation der Klimate, vorzugsweise nach ihren Beziehungen zur Pflanzenwelt. Geographische Zeitschrift, 6, 593–611. https://koeppen-geiger.vu-wien.ac.at/pdf/Koppen_1900.pdf
  30. Lynch, P. (2017, July 12). World's first "smart street" in London turns footsteps into energy. https://www.archdaily.com/875701/worlds-first-smart-street-in-london-turns-footsteps-into-energy
  31. Masdar City. (2025, May 2). Media Resources and Press Kit. https://www.masdarcity.ae/news-and-media/media
  32. Masdar City. (2025, May 2). Sustainable Design. https://www.masdarcity.ae/sustainable-urban-development/sustainable-design
  33. Masdar City. (2025, May 2). Upcoming Projects. https://www.masdarcity.ae/sustainable-urban-development/projects
  34. Molinsky, J., & Forsyth, A. (2018). Housing, the built environment, and the good life. Hastings Center Report, 48(S1), S50–S56. https://doi.org/10.1002/hast.910
  35. Mollaei, A., & Kamyabi, S. (2020). Evaluation of energy efficiency at the neighborhood scale using LEED model in line with sustainable development (Case study: Yousefabad neighborhood, District 6 of Tehran). Quarterly Journal of Urban and Regional Development Planning, 5(13), 37-56. https://doi.org/10.22054/urdp.2021.60081.1313 [In Persian]
  36. Moradi, S. (2019). A review of the thematic course of smart city studies. Scientometrics Research Journal, 5(1), 139-160. https://doi.org/10.22070/rsci.2018.759 [In Persian]
  37. Moradian, M. (2016). A guide to energy-efficient urban design with emphasis on urban facade (Case study: 17 Shahrivar Street, Tehran) [Master's thesis in Urban Design]. Supervised by M. Habibi and advised by R. Fayyaz, Faculty of Art and Architecture, University of Art Tehran. [In Persian]
  38. Mosannenzadeh, F., Bisello, A., Vaccaro, R., D'Alonzo, V., Wayne Hunter, G., & Vettorato, D. (2017). Smart energy city development: A story told by urban planners. Cities, 64, 54-65. https://doi.org/10.1016/j.cities.2017.02.001
  39. Mouzourides, P., Kyprianou, A., Choudhary, R., Ching, J., & Neophytou, M.-A. (2017). How can a Multi-scale Analysis Guide Smart Urban Energy Demand Management? An Example from London City Westminster Borough. Procedia Engineering, 180, 433-442. https://doi.org/10.1016/j.proeng.2017.04.202
  40. Nasrollahi, E. (2022). Explaining the components of smart urban public open space design based on energy efficiency (Case study: Esteghlal Square and Iranzamin Park area, Karaj) [Master's thesis in Urban Design]. Supervised by L. Kokabi, Farabi International Campus, University of Art Tehran. [In Persian]
  41. Nasrollahi, F. (2010). Climatic analysis of Hashtgerd New Town. Institute of Architecture, TU Berlin, Berlin.
  42. Nathali Silva, B., Khan, M., & Han, K. (2018). Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities. Sustainable Cities and Society, 38, 697-713. https://doi.org/10.1016/j.scs.2018.01.053
  43. New Towns Development Corporation of Iran. (1993). An outlook: The New Town of Hashtgerd. Tehran: New Town of Hashtgerd.
  44. Noori, N., Hoppe, T., van der Werf, I., & Janssen, M. (2025). A framework to analyze inclusion in smart energy city development: The case of Smart City Amsterdam. Cities, 158, 105710. https://doi.org/10.1016/j.cities.2025.105710
  45. Paykadeh Consultants. (2008). Revision of Hashtgerd New Town master plan – Summary. Tehran: Paykadeh Consultants. [In Persian]
  46. Pourezzat, A., Abbasi, T., Maghsoodi Kenari, S., & Namdar Joybari, M. (2024). Investigating the Role of the basic Components of Smart Governance in Realizing a Smart City with the ISM Method (Case Study: Tehran). Journal of Public Administration, 16(3), 535-561. https://doi.org/10.22059/JIPA.2024.376694.3505
  47. Prasad, N., Ranghieri, F., Shah, F., Trohanis, Z., Kessler, E., & Sinha, R. (2009). Climate resilient cities: A primer on reducing vulnerabilities to disasters. Washington, DC: World Bank. https://openknowledge.worldbank.org/handle/10986/2241
  48. Qin, Z., Yang, H., Shi, L., Ying, O., & Liu, W. (2024). Do smart city policies improve energy efficiency? Evidence from China. Chinese Journal of Population, Resources and Environment, 22(2), 185-193. https://doi.org/10.1016/j.cjpre.2024.06.010
  49. Reiche, D. (2010). Renewable Energy Policies in the Gulf countries: A case study of the carbon-neutral ‘‘Masdar City’’ in Abu Dhabi. Energy Policy, 38(1), 378–382. https://doi.org/10.1016/j.enpol.2009.09.028
  50. RezaeiRad, H., & Akbarian, Z. (2025). Explaining the role of reducing energy consumption in strengthening healthy cities in smart cities. Information System and Smart City, 5(1), 2213. https://doi.org/10.59400/issc2213
  51. Ridden, P. (2017, July 3). Shoppers in London can turn footsteps into electricity. https://newatlas.com/bird-street-pavegen-clearair-airlite/50321/
  52. Riva Sanseverino, E., Riva Sanseverino, R., Vaccaro, V., Macaione, I., & Anello, E. (2017). Smart cities: Case studies. Dipartimento di Energia, Ingegneria dell’Informazione e Modelli Matematici (DEIM), University of Palermo. https://iris.unipa.it/retrieve/e3ad8910-7b6b-61e2-e053-3705fe0a2b96/Smart Cities Case Studies.pdf
  53. Salimi Amiri, S. (2023). Explaining the components of smartization with emphasis on the self-sufficiency of the neighborhood center in energy supply (Case study: Aban Bano neighborhood, Sari) [Master's thesis in Architecture]. Supervised by S. A. Seyedian and advised by F. Ahmadi, Faculty of Art and Architecture, University of Mazandaran. [In Persian]
  54. Santamouris, M. (2006). Environmental design of urban buildings: An integrated approach. London: Earthscan. https://doi.org/10.4324/9781849771160
  55. Seelig, S. (2011). A master plan for low carbon and resilient housing: The 35 ha area in Hashtgerd New Town, Iran. Cities, 28(6), 545-556. https://doi.org/10.1016/j.cities.2011.06.001
  56. Seelig, S., Wehage, P., & Pahl-Weber, E. (2011). Energie und Identität: Stadtgestaltung für eine energiegerechte New Town in Iran. Stadtbauwelt, 189, 64–69. https://www.bauwelt.de/themen/Stadtbauwelt-189-Energie-und-Identitaet-2109305.html
  57. Shirveyh Pour, S., Mortezaei, S. M., & Bayat, R. (2023). Presenting a model of effective factors on the future development of sustainable smart cities with emphasis on optimal energy management. Urban Economics and Planning, 4(4), 116-130. https://doi.org/10.22034/uep.2024.423160.1424 [In Persian]
  58. Shirzad, M. H. (2022). Smart urban village with energy approach based on biotech and vernacular architecture [Master's thesis in Urban Design]. Supervised by M. Golabchi, Department of Urban Design, Pars Institute of Higher Education of Architecture and Art. [In Persian]
  59. Szpilko, D.; Fernando, X.; Nica, E.; Budna, K.; Rzepka, A.; Lăzăroiu, G. (2024). Energy in Smart Cities: Technological Trends and Prospects. Energies, 17(24), 6439. https://doi.org/10.3390/en17246439
  60. Time Out Abu Dhabi. (2024, June 5). Masdar City Guide. https://www.timeoutabudhabi.com/features-moving-to-dubai/masdar-city-guide
  61. Tundys, B.; Wi´sniewski, T. (2024). Smart City and Sustainable Energy—Evidence from the European Union Capital Cities. Energies, 17(18), 4678. https://doi.org/10.3390/en17184678
  62. Veloso, Á., Fonseca, F., & Ramos, R. (2024). Insights from Smart City Initiatives for Urban Sustainability and Contemporary Urbanism. Smart Cities, 7(6), 3188-3209. https://doi.org/10.3390/smartcities7060124
  63. Wang, C., Gu, J., Sanjuán Martínez, O., & González Crespo, R. (2021). Economic and environmental impacts of energy efficiency over smart cities and regulatory measures using a smart technological solution. Sustainable Energy Technologies and Assessments, 47, 101422. https://doi.org/10.1016/j.seta.2021.101422
  64. Wang, W., Liu, K., Zhang, M., Shen, Y., Jing, R., & Xu, X. (2021). From simulation to data-driven approach: A framework of integrating urban morphology to low-energy urban design. Renewable Energy, 179, 2016-2035. https://doi.org/10.1016/j.renene.2021.08.024
  65. World Economic Forum. (2020). Smart at scale: Cities to watch – 25 case studies. Global Future Council on Cities and Urbanization. Geneva: World Economic Forum. https://www.weforum.org/reports/smart-at-scale-cities-to-watch-25-case-studies/
  66. Yamamura, S.; Fan, L.; Suzuki, Y. (2017). Assessment of Urban Energy Performance through Integration of BIM and GIS for Smart City Planning. Procedia Engineering, 180, 1462-1472. https://doi.org/10.1016/j.proeng.2017.04.309
  67. Yarashynskaya, A., & Prus, P. (2022). Smart Energy for a Smart City: A Review of Polish Urban Development Plans. Energies, 15(22), 8676. https://doi.org/10.3390/en15228676
  68. Youssef, M., & Mohamed, E. (2013). Energy efficient urban configurations for residential projects in Cairo. Master’s thesis, Ain Shams University, Faculty of Engineering and University of Stuttgart, Faculty of Architecture and Urban Planning, Cairo and Stuttgart.
  69. Yu, W., Lobaccaro, G., Carlucci, S., Ruzhu, W., Li, Y., Finocchiaro, L., Yanjun, D., Eikevik, T. M., & Wyckmans, A. (2017). Sustainable Energy in Cities: Methodology and Results of a Summer Course Providing Smart Solutions for a New District in Shanghai. Energy Procedia, 111, 856-866. https://doi.org/10.1016/j.egypro.2017.03.248
  70. Zhang, H., Wang, Y., & Liu, H. (2025). Smart cities lighting the way: Optimizing energy structure and efficiency in the border areas. Journal of Cleaner Production, 486, 144481. https://doi.org/10.1016/j.jclepro.2024.144481
  71. Ziari, K. (2006). The planning and functioning of new towns in Iran. Cities, 23(6), 412–422. https://doi.org/10.1016/j.cities.2006.08.006