Research Article | | Peer-Reviewed

Incorporation of Artificial Intelligence in Enhancing Quality of Life in Smart Cities

Received: 9 September 2024     Accepted: 29 September 2024     Published: 18 October 2024
Views:       Downloads:
Abstract

Rapid urbanization and low residential resources in cities are serious issues that are making city life difficult day by day. The development of smart cities is becoming a need of the present era due to the swift increase in population and environmental issues globally. Smart cities are being introduced in different regions of the world with the incorporation of latest technologies. The incorporation of Artificial Intelligence (AI) is one of the tools that can be used in smart building and cities. AI technologies are transforming public safety, trash management, healthcare, traffic control, and resource management, making cities more sustainable, effective, and responsive to their citizens' demands. There are still lack of awareness in some areas of the world on the efficacy of smart building and construction that is impacting negatively on the economy and growth of those countries.; such as Pakistan is one of those countries that is facing serious challenges due to increased population, urban migration, and poor management of natural resources. The need of planning smart strategies for smart building is very crucial to manage population and housing issues. Smart buildings and cities provide unique and convenient facilities to its residents so that they can contribute positively towards the economy of country. This paper focuses at important areas where AI has the most effects in order to investigate how integrating AI improves quality of life in smart cities. The aim is to highlight artificial intelligence's contribution to improving urban operations, streamlining resource management, and advancing sustainability. Additionally, potential concerns about privacy, data security, and fair access will be discussed. In order to show how AI-driven innovations like predictive analytics, machine learning, and IoT-enabled systems are changing the urban environment, the study synthesizes existing research and real-world examples. The evaluation also covers how AI promotes smart government, tailored urban services, and citizen involvement. The conclusion emphasizes that although AI has great potential to improve the quality of life in smart cities, implementation of the technology must be done in a balanced way to prioritize inclusive policies and ethical concerns for the general welfare of residents.

Published in American Journal of Artificial Intelligence (Volume 8, Issue 2)
DOI 10.11648/j.ajai.20240802.13
Page(s) 48-54
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Artificial Intelligence, Quality of Life, Smart Cities, Technologies

References
[1] Al Sharif, R., & Pokharel, S. (2022). Smart city dimensions and associated risks: Review of literature. Sustainable cities and society, 77, 103542.
[2] Barber, E. L., Garg, R., Persenaire, C., & Simon, M. (2021). Natural language processing with machine learning to predict outcomes after ovarian cancer surgery. Gynecologic oncology, 160(1), 182-186.
[3] Braga, I. F., Ferreira, F. A., Ferreira, J. J., Correia, R. J., Pereira, L. F., & Falcão, P. F. (2021). A DEMATEL analysis of smart city determinants. Technology in Society, 66, 101687.
[4] Cranefield, J., & Pries-Heje, J. (2020). Moving beyond showcasing: The five faces of leadership in smart city transformation.
[5] De Guimarães, J. C. F., Severo, E. A., Júnior, L. A. F., Da Costa, W. P. L. B., & Salmoria, F. T. (2020). Governance and quality of life in smart cities: Towards sustainable development goals. Journal of Cleaner Production, 253, 119926.
[6] Erraki, M., Youssfi, M., Daaif, A., & Bouattane, O. (2020, October). NLP summarization: abstractive neural headline generation over a news articles corpus. In 2020 Fourth International Conference On Intelligent Computing in Data Sciences (ICDS) (pp. 1-6). IEEE
[7] Han, M. J. N., & Kim, M. J. (2021). A critical review of the smart city in relation to citizen adoption towards sustainable smart living. Habitat International, 108, 102312.
[8] Herath, H. M. K. K. M. B., & Mittal, M. (2022). Adoption of artificial intelligence in smart cities: A comprehensive review. International Journal of Information Management Data Insights, 2(1), 100076.
[9] Hodorog, A., Petri, I., & Rezgui, Y. (2022). Machine learning and Natural Language Processing of social media data for event detection in smart cities. Sustainable Cities and Society, 85, 104026.
[10] Ji, T., Chen, J. H., Wei, H. H., & Su, Y. C. (2021). Towards people-centric smart city development: Investigating the citizens’ preferences and perceptions about smart-city services in Taiwan. Sustainable Cities and Society, 67, 102691.
[11] Keller, S. U. (2021). Automatic generation of word problems for academic education via natural language processing (nlp). arXiv preprint arXiv: 2109.13123.
[12] Kunttu, I. (2019). Developing smart city services by mobile application. Proceedings of ISPIM Connects Ottawa, Innovation for Local and Global Impact, 7-10 April 2019–Ottawa, Canada.
[13] Leung, K. Y., & Lee, H. Y. (2023). Implementing the smart city: Who has a say? Some insights from Hong Kong. International Journal of Urban Sciences, 27
[14] Ligarski, M. J., & Wolny, M. (2021). Quality of life surveys as a method of obtaining data for sustainable city development—Results of empirical research. Energies, 14(22), 7592.
[15] Oh, J. (2020). Smart city as a tool of citizen-oriented urban regeneration: Framework of preliminary evaluation and its application. Sustainability, 12(17), 6874.
[16] Popova, Y., & Popovs, S. (2022). Impact of smart economy on smart areas and mediation effect of national economy. Sustainability, 14(5), 2789.
[17] Rahman, M. A., Asyhari, A. T., Leong, L. S., Satrya, G. B., Tao, M. H., & Zolkipli, M. F. (2020). Scalable machine learning-based intrusion detection system for IoT-enabled smart cities. Sustainable Cities and Society, 61, 102324.
[18] Stübinger, J., & Schneider, L. (2020). Understanding smart city. A data-driven literature review. Sustainability, 12(20), 8460.
[19] Tan, S. Y., & Taeihagh, A. (2020). Smart city governance in developing countries: A systematic literature review. sustainability, 12(3), 899.
[20] Toan, N. Q., & Nhu, D. T. (2020, June). Smart urban governance in smart city. In IOP Conference Series: Materials Science and Engineering (Vol. 869, No. 2, p. 022021). IOP Publishing.
[21] Ullah, A., Anwar, S. M., Li, J., Nadeem, L., Mahmood, T., Rehman, A., & Saba, T. (2024). Smart cities: The role of Internet of Things and machine learning in realizing a data-centric smart environment. Complex & Intelligent Systems, 10(1), 1607-1637.
[22] Ullah, Z., Al-Turjman, F., Mostarda, L., & Gagliardi, R. (2020). Applications of artificial intelligence and machine learning in smart cities. Computer Communications, 154, 313-323.
[23] Ullo, S. L., & Sinha, G. R. (2020). Advances in smart environment monitoring systems using IoT and sensors. Sensors, 20(11), 3113.
[24] Wolniak, R. (2023). Smart mobility in smart city–Copenhagen and Barcelona comparision. Silesian University of Technology Scientific Papers. Organization and Management Series, 172, 678-697.
Cite This Article
  • APA Style

    Ullah, A., Quddusi, S. A., Haider, I. (2024). Incorporation of Artificial Intelligence in Enhancing Quality of Life in Smart Cities. American Journal of Artificial Intelligence, 8(2), 48-54. https://doi.org/10.11648/j.ajai.20240802.13

    Copy | Download

    ACS Style

    Ullah, A.; Quddusi, S. A.; Haider, I. Incorporation of Artificial Intelligence in Enhancing Quality of Life in Smart Cities. Am. J. Artif. Intell. 2024, 8(2), 48-54. doi: 10.11648/j.ajai.20240802.13

    Copy | Download

    AMA Style

    Ullah A, Quddusi SA, Haider I. Incorporation of Artificial Intelligence in Enhancing Quality of Life in Smart Cities. Am J Artif Intell. 2024;8(2):48-54. doi: 10.11648/j.ajai.20240802.13

    Copy | Download

  • @article{10.11648/j.ajai.20240802.13,
      author = {Aman Ullah and Syeda Arfa Quddusi and Iftikhar Haider},
      title = {Incorporation of Artificial Intelligence in Enhancing Quality of Life in Smart Cities
    },
      journal = {American Journal of Artificial Intelligence},
      volume = {8},
      number = {2},
      pages = {48-54},
      doi = {10.11648/j.ajai.20240802.13},
      url = {https://doi.org/10.11648/j.ajai.20240802.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20240802.13},
      abstract = {Rapid urbanization and low residential resources in cities are serious issues that are making city life difficult day by day. The development of smart cities is becoming a need of the present era due to the swift increase in population and environmental issues globally. Smart cities are being introduced in different regions of the world with the incorporation of latest technologies. The incorporation of Artificial Intelligence (AI) is one of the tools that can be used in smart building and cities. AI technologies are transforming public safety, trash management, healthcare, traffic control, and resource management, making cities more sustainable, effective, and responsive to their citizens' demands. There are still lack of awareness in some areas of the world on the efficacy of smart building and construction that is impacting negatively on the economy and growth of those countries.; such as Pakistan is one of those countries that is facing serious challenges due to increased population, urban migration, and poor management of natural resources. The need of planning smart strategies for smart building is very crucial to manage population and housing issues. Smart buildings and cities provide unique and convenient facilities to its residents so that they can contribute positively towards the economy of country. This paper focuses at important areas where AI has the most effects in order to investigate how integrating AI improves quality of life in smart cities. The aim is to highlight artificial intelligence's contribution to improving urban operations, streamlining resource management, and advancing sustainability. Additionally, potential concerns about privacy, data security, and fair access will be discussed. In order to show how AI-driven innovations like predictive analytics, machine learning, and IoT-enabled systems are changing the urban environment, the study synthesizes existing research and real-world examples. The evaluation also covers how AI promotes smart government, tailored urban services, and citizen involvement. The conclusion emphasizes that although AI has great potential to improve the quality of life in smart cities, implementation of the technology must be done in a balanced way to prioritize inclusive policies and ethical concerns for the general welfare of residents.
    },
     year = {2024}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Incorporation of Artificial Intelligence in Enhancing Quality of Life in Smart Cities
    
    AU  - Aman Ullah
    AU  - Syeda Arfa Quddusi
    AU  - Iftikhar Haider
    Y1  - 2024/10/18
    PY  - 2024
    N1  - https://doi.org/10.11648/j.ajai.20240802.13
    DO  - 10.11648/j.ajai.20240802.13
    T2  - American Journal of Artificial Intelligence
    JF  - American Journal of Artificial Intelligence
    JO  - American Journal of Artificial Intelligence
    SP  - 48
    EP  - 54
    PB  - Science Publishing Group
    SN  - 2639-9733
    UR  - https://doi.org/10.11648/j.ajai.20240802.13
    AB  - Rapid urbanization and low residential resources in cities are serious issues that are making city life difficult day by day. The development of smart cities is becoming a need of the present era due to the swift increase in population and environmental issues globally. Smart cities are being introduced in different regions of the world with the incorporation of latest technologies. The incorporation of Artificial Intelligence (AI) is one of the tools that can be used in smart building and cities. AI technologies are transforming public safety, trash management, healthcare, traffic control, and resource management, making cities more sustainable, effective, and responsive to their citizens' demands. There are still lack of awareness in some areas of the world on the efficacy of smart building and construction that is impacting negatively on the economy and growth of those countries.; such as Pakistan is one of those countries that is facing serious challenges due to increased population, urban migration, and poor management of natural resources. The need of planning smart strategies for smart building is very crucial to manage population and housing issues. Smart buildings and cities provide unique and convenient facilities to its residents so that they can contribute positively towards the economy of country. This paper focuses at important areas where AI has the most effects in order to investigate how integrating AI improves quality of life in smart cities. The aim is to highlight artificial intelligence's contribution to improving urban operations, streamlining resource management, and advancing sustainability. Additionally, potential concerns about privacy, data security, and fair access will be discussed. In order to show how AI-driven innovations like predictive analytics, machine learning, and IoT-enabled systems are changing the urban environment, the study synthesizes existing research and real-world examples. The evaluation also covers how AI promotes smart government, tailored urban services, and citizen involvement. The conclusion emphasizes that although AI has great potential to improve the quality of life in smart cities, implementation of the technology must be done in a balanced way to prioritize inclusive policies and ethical concerns for the general welfare of residents.
    
    VL  - 8
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • Department of Architecture, School of Art Design and Architecture, National University of Sciences & Technology, Islamabad, Pakistan

  • Department of Architecture and Built Environment, Nazeer Hussain University, Karachi, Pakistan

  • Senior Architect EarthLit Consultant, Islamabad, Pakistan

  • Sections