IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v15y2024i7d10.1007_s13198-024-02315-w.html
   My bibliography  Save this article

Comparative Analysis of Machine Learning Techniques in Air Quality Index (AQI) prediction in smart cities

Author

Listed:
  • Gaurav Sharma

    (Seth Jai Parkash Mukand Lal Institute of Engineering and Technology)

  • Savita Khurana

    (Seth Jai Parkash Mukand Lal Institute of Engineering and Technology)

  • Nitin Saina

    (Seth Jai Parkash Mukand Lal Institute of Engineering and Technology)

  • Shivansh

    (Seth Jai Parkash Mukand Lal Institute of Engineering and Technology)

  • Garima Gupta

    (Seth Jai Parkash Mukand Lal Institute of Engineering and Technology)

Abstract

Air pollution is now one of the world's most serious environmental problems. It represents a significant hazard to both health and the climate. Urban air quality is steadily declining, affecting not only the air itself but also impacting the quality of water and land. This paper explores the utilization of machine learning-based algorithms for analysis and prediction of air quality in smart cities. In this paper, smart cities for which air quality index (AQI) is calculated are Ahmedabad, Delhi, Lucknow, Gurugram, and Mumbai. The comparative analysis of different Machine Learning algorithms such as Random Forest Regression (RF), Decision Tree Regression, Linear regression, XgBoost and proposed hybrid model which is combination of Random forest and Xgboost model, have been discussed in the paper. The analysis has been carried out using a machine learning-based algorithm to determine which pollutant is the primary source of pollution in a smart city so that preventative steps can be implemented to reduce air pollution.

Suggested Citation

  • Gaurav Sharma & Savita Khurana & Nitin Saina & Shivansh & Garima Gupta, 2024. "Comparative Analysis of Machine Learning Techniques in Air Quality Index (AQI) prediction in smart cities," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(7), pages 3060-3075, July.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:7:d:10.1007_s13198-024-02315-w
    DOI: 10.1007/s13198-024-02315-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-024-02315-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-024-02315-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
    2. Hirou Karimi & Mohammad Anvar Adibhesami & Hassan Bazazzadeh & Sahar Movafagh, 2023. "Green Buildings: Human-Centered and Energy Efficiency Optimization Strategies," Energies, MDPI, vol. 16(9), pages 1-17, April.
    3. Laura Pimpin & Lise Retat & Daniela Fecht & Laure de Preux & Franco Sassi & John Gulliver & Annalisa Belloni & Brian Ferguson & Emily Corbould & Abbygail Jaccard & Laura Webber, 2018. "Estimating the costs of air pollution to the National Health Service and social care: An assessment and forecast up to 2035," PLOS Medicine, Public Library of Science, vol. 15(7), pages 1-16, July.
    4. Mauro Castelli & Fabiana Martins Clemente & Aleš Popovič & Sara Silva & Leonardo Vanneschi, 2020. "A Machine Learning Approach to Predict Air Quality in California," Complexity, Hindawi, vol. 2020, pages 1-23, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Olga Bogdanov & Veljko Jeremiæ & Sandra Jednak & Mladen Èudanov, 2019. "Scrutinizing the Smart City Index: a multivariate statistical approach," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(2), pages 777-799.
    2. Roblek Vasja & Meško Maja & Podbregar Iztok, 2021. "Mapping of the Emergence of Society 5.0: A Bibliometric Analysis," Organizacija, Sciendo, vol. 54(4), pages 293-305, December.
    3. Junjie Liu & Xiaomeng Liu & Jiaoping Yang, 2024. "TOE Configuration Analysis of Smart City Construction in China Under the Concept of Sustainable Development," Sustainability, MDPI, vol. 16(23), pages 1-15, December.
    4. Sasikumar Gurumoorthy & Aruna Kumari Kokku & Przemysław Falkowski-Gilski & Parameshachari Bidare Divakarachari, 2023. "Effective Air Quality Prediction Using Reinforced Swarm Optimization and Bi-Directional Gated Recurrent Unit," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    5. Becker, Jörg & Distel, Bettina & Grundmann, Matthias & Hupperich, Thomas & Kersting, Norbert & Löschel, Andreas & Parreira do Amaral, Marcelo & Scholta, Hendrik, 2021. "Challenges and potentials of digitalisation for small and mid-sized towns: Proposition of a transdisciplinary research agenda," ERCIS Working Papers 36, University of Münster, European Research Center for Information Systems (ERCIS).
    6. Mariusz J. Ligarski & Tomasz Owczarek, 2024. "Preparing Quality of Life Surveys Versus Using Information for Sustainable Development: The Example of Polish Cities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(3), pages 765-782, July.
    7. Vu, Khuong & Hartley, Kris, 2018. "Promoting smart cities in developing countries: Policy insights from Vietnam," Telecommunications Policy, Elsevier, vol. 42(10), pages 845-859.
    8. Maria Vincenza Ciasullo & Orlando Troisi & Mara Grimaldi & Daniele Leone, 2020. "Multi-level governance for sustainable innovation in smart communities: an ecosystems approach," International Entrepreneurship and Management Journal, Springer, vol. 16(4), pages 1167-1195, December.
    9. Chih‐Hsuan Wang & Chia‐Rong Chang, 2023. "Forecasting air quality index considering socioeconomic indicators and meteorological factors: A data granularity perspective," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1261-1274, August.
    10. Anthony Simonofski & Estefanía Serral Asensio & Johannes Smedt & Monique Snoeck, 2019. "Hearing the Voice of Citizens in Smart City Design: The CitiVoice Framework," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(6), pages 665-678, December.
    11. Michael Yit Lin Chew & Evelyn Ai Lin Teo & Kwok Wei Shah & Vishal Kumar & Ghassan Fahem Hussein, 2020. "Evaluating the Roadmap of 5G Technology Implementation for Smart Building and Facilities Management in Singapore," Sustainability, MDPI, vol. 12(24), pages 1-26, December.
    12. Wojciech Kozlowski & Kacper Suwar, 2021. "Smart City: Definitions, Dimensions, and Initiatives," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 509-520.
    13. Yamilé Pérez Guilarte & Daniel Barreiro Quintáns, 2019. "Using Big Data to Measure Tourist Sustainability: Myth or Reality?," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    14. Steve Harris & Jan Weinzettel & Gregor Levin, 2020. "Implications of Low Carbon City Sustainability Strategies for 2050," Sustainability, MDPI, vol. 12(13), pages 1-23, July.
    15. Ting Mei & Hui Liu & Bingrui Tong & Chaozhen Tong & Junjie Zhu & Yuxuan Wang & Mengyao Kou, 2025. "Exploring Knowledge Domain of Intelligent Safety and Security Studies by Bibliometric Analysis," Sustainability, MDPI, vol. 17(4), pages 1-26, February.
    16. Muhammad Atiq Ur Rehman Tariq & Alavaiola Faumatu & Maha Hussein & Muhammad Laiq Ur Rahman Shahid & Nitin Muttil, 2020. "Smart City-Ranking of Major Australian Cities to Achieve a Smarter Future," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    17. Shahid Nawaz Khan & Syed Ali Abbas Kazmi & Abdullah Altamimi & Zafar A. Khan & Mohammed A. Alghassab, 2022. "Smart Distribution Mechanisms—Part I: From the Perspectives of Planning," Sustainability, MDPI, vol. 14(23), pages 1-109, December.
    18. Yi-Ming Guo & Zhen-Ling Huang & Ji Guo & Hua Li & Xing-Rong Guo & Mpeoane Judith Nkeli, 2019. "Bibliometric Analysis on Smart Cities Research," Sustainability, MDPI, vol. 11(13), pages 1-18, June.
    19. Sabina Baraniewicz-Kotasińska, 2022. "The Scandinavian Third Way as a Proposal for Sustainable Smart City Development—A Case Study of Aarhus City," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    20. Paulina Jaczewska & Hubert Sybilski & Marlena Tywonek, 2025. "Assessment of the Solar Potential of Buildings Based on Photogrammetric Data," Energies, MDPI, vol. 18(4), pages 1-35, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:15:y:2024:i:7:d:10.1007_s13198-024-02315-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.