IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-02765-4.html
   My bibliography  Save this article

Exploring low-carbon and sustainable urban transformation design using ChatGPT and artificial bee colony algorithm

Author

Listed:
  • Shuhui Yu

    (Guangzhou Huashang College
    City University of Macau)

  • Ya Yang

    (Anhui Jianzhu University)

  • Jiamin Li

    (University of Westminster)

  • Keyu Guo

    (Wuhan University)

  • Zeyu Wang

    (Guangzhou University)

  • Yuwei Liu

    (China University of Geosciences)

Abstract

The aim of this study is to provide effective solutions to promote the transition of resource-based cities to low carbon and sustainable development. Firstly, this study investigates the background of low-carbon transformation of resource-based cities. Secondly, it introduces the application method of Chat Generative Pre-trained Transformer (ChatGPT) in detail. Finally, this study proposes a comprehensive application of ChatGPT and artificial bee colony (ABC) algorithm. The results show that the average energy utilization efficiency improvement index of the group using ChatGPT is 0.11. The average energy efficiency improvement index of the group using ABC algorithm is 0.02 higher than that of the control group. The integrated application of ChatGPT and ABC algorithm can further improve the low-carbon transformation effect of resource-based cities and achieve the goal of green development.

Suggested Citation

  • Shuhui Yu & Ya Yang & Jiamin Li & Keyu Guo & Zeyu Wang & Yuwei Liu, 2024. "Exploring low-carbon and sustainable urban transformation design using ChatGPT and artificial bee colony algorithm," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02765-4
    DOI: 10.1057/s41599-024-02765-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-02765-4
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-02765-4?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Chang, Lei & Taghizadeh-Hesary, Farhad & Mohsin, Muhammad, 2023. "Role of artificial intelligence on green economic development: Joint determinates of natural resources and green total factor productivity," Resources Policy, Elsevier, vol. 82(C).
    2. María Andreína Moros-Ochoa & Gilmer Yovani Castro-Nieto & Anderson Quintero-Español & Carolina Llorente-Portillo, 2022. "Forecasting Biocapacity and Ecological Footprint at a Worldwide Level to 2030 Using Neural Networks," Sustainability, MDPI, vol. 14(17), pages 1-14, August.
    3. Rao, Amar & Talan, Amogh & Abbas, Shujaat & Dev, Dhairya & Taghizadeh-Hesary, Farhad, 2023. "The role of natural resources in the management of environmental sustainability: Machine learning approach," Resources Policy, Elsevier, vol. 82(C).
    4. Ma, Mengjuan & Zhu, Xiao & Liu, Meishan & Huang, Xiaodong, 2023. "Combining the role of green finance and environmental sustainability on green economic growth: Evidence from G-20 economies," Renewable Energy, Elsevier, vol. 207(C), pages 128-136.
    5. Sara Alonso-Muñoz & Rocío González-Sánchez & Cristina Siligardi & Fernando E. García-Muiña, 2021. "New Circular Networks in Resilient Supply Chains: An External Capital Perspective," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    6. Bei, Jinlan & Wang, Chunyu, 2023. "Renewable energy resources and sustainable development goals: Evidence based on green finance, clean energy and environmentally friendly investment," Resources Policy, Elsevier, vol. 80(C).
    7. Tarek A. Boghdady & Yasmin E. Kotb & Abdullah Aljumah & Mahmoud M. Sayed, 2022. "Comparative Study of Optimal PV Array Configurations and MPPT under Partial Shading with Fast Dynamical Change of Hybrid Load," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    8. Hu, Hui & Xiong, Shuaizhou & Wang, Zeyu & Wang, Zishuo & Zhou, Xiang, 2023. "Green financial regulation and shale gas resources management," Resources Policy, Elsevier, vol. 85(PB).
    9. Yong Chen & Zhengjie Wu & Wenchao Yi & Bingjia Wang & Jianhua Yao & Zhi Pei & Jiaoliao Chen, 2022. "Bibliometric Method for Manufacturing Servitization: A Review and Future Research Directions," Sustainability, MDPI, vol. 14(14), pages 1-26, July.
    10. Lorente, Daniel Balsalobre & Mohammed, Kamel Si & Cifuentes-Faura, Javier & Shahzad, Umer, 2023. "Dynamic connectedness among climate change index, green financial assets and renewable energy markets: Novel evidence from sustainable development perspective," Renewable Energy, Elsevier, vol. 204(C), pages 94-105.
    11. Md Ashikur Rahman & Rajalingam Sokkalingam & Mahmod Othman & Kallol Biswas & Lazim Abdullah & Evizal Abdul Kadir, 2021. "Nature-Inspired Metaheuristic Techniques for Combinatorial Optimization Problems: Overview and Recent Advances," Mathematics, MDPI, vol. 9(20), pages 1-32, October.
    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. Tina Wiegand & Martin Wynn, 2023. "Sustainability, the Circular Economy and Digitalisation in the German Textile and Clothing Industry," Sustainability, MDPI, vol. 15(11), pages 1-30, June.
    2. Mao, Qian & Ma, Xinyuan & Sun, Yunpeng, 2023. "Study of impacts of blockchain technology on renewable energy resource findings," Renewable Energy, Elsevier, vol. 211(C), pages 802-808.
    3. Maria V. Sigova & Igor K. Klyuchnikov & Oleg I. Klyuchnikov, 2024. "Sustainability and Security of Green Finance from the Multi-agent Games Perspective," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 78-95, February.
    4. Wang, Huaxing & Li, Tianzi & Zhu, Junfan & Jian, Youting & Wang, Zeyu & Wang, Zengwen, 2023. "China's new environmental protection law: Implications for mineral resource policy, environmental precaution and green finance," Resources Policy, Elsevier, vol. 85(PB).
    5. Muhammad Jawad Sajid & Ernesto D. R. Santibanez Gonzalez, 2021. "The Impact of Direct and Indirect COVID-19 Related Demand Shocks on Sectoral CO 2 Emissions: Evidence from Major Asia Pacific Countries," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    6. Marcel Nicola & Claudiu-Ionel Nicola, 2022. "Improvement of Linear and Nonlinear Control for PMSM Using Computational Intelligence and Reinforcement Learning," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    7. Han Yan & Md. Qamruzzaman & Sylvia Kor, 2023. "Nexus between Green Investment, Fiscal Policy, Environmental Tax, Energy Price, Natural Resources, and Clean Energy—A Step towards Sustainable Development by Fostering Clean Energy Inclusion," Sustainability, MDPI, vol. 15(18), pages 1-25, September.
    8. Lu, Xunfa & Huang, Nan & Mo, Jianlei & Ye, Zhitao, 2023. "Dynamics of the return and volatility connectedness among green finance markets during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 125(C).
    9. Halkos, George E. & Aslanidis, Panagiotis – Stavros C., 2023. "Sustainable energy development in an era of geopolitical multi-crisis. Applying productivity indices within institutional framework," Resources Policy, Elsevier, vol. 85(PB).
    10. Aidi Xu & Jie Zhang, 2024. "Utilizing virtual arts in reforming market players’ behavior to invest in sustainability projects," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    11. Yu, Mengyan & Umair, Muhammad & Oskenbayev, Yessengali & Karabayeva, Zhаnsaya, 2023. "Exploring the nexus between monetary uncertainty and volatility in global crude oil: A contemporary approach of regime-switching," Resources Policy, Elsevier, vol. 85(PB).
    12. Jifei Xie & Lulu Ma & Jiamin Li, 2023. "Servitization, Digitalization or Hand in Hand: A Study on the Sustainable Development Path of Manufacturing Enterprises," Sustainability, MDPI, vol. 15(13), pages 1-17, July.
    13. Alex Vinicio Gavilanes Montoya & Danny Daniel Castillo Vizuete & Marina Viorela Marcu, 2023. "Exploring the Role of ICTs and Communication Flows in the Forest Sector," Sustainability, MDPI, vol. 15(14), pages 1-23, July.
    14. Alvarado, Rafael & Murshed, Muntasir & Cifuentes-Faura, Javier & Işık, Cem & Razib Hossain, Mohammad & Tillaguango, Brayan, 2023. "Nexuses between rent of natural resources, economic complexity, and technological innovation: The roles of GDP, human capital and civil liberties," Resources Policy, Elsevier, vol. 85(PA).
    15. Liu, Dayong, 2023. "Does green finance and natural resources agglomeration have potential for green economic growth? Evidence from Asian perspective," Resources Policy, Elsevier, vol. 84(C).
    16. Rui Dias & Paulo Alexandre & Nuno Teixeira & Mariana Chambino, 2023. "Clean Energy Stocks: Resilient Safe Havens in the Volatility of Dirty Cryptocurrencies," Energies, MDPI, vol. 16(13), pages 1-24, July.
    17. Alexandro Ortiz & Efrain Mendez & Israel Macias & Arturo Molina, 2022. "Earthquake Algorithm-Based Voltage Referenced MPPT Implementation through a Standardized Validation Frame," Energies, MDPI, vol. 15(23), pages 1-24, November.
    18. Hoque, Mohammad Enamul & Soo-Wah, Low & Billah, Mabruk, 2023. "Time-frequency connectedness and spillover among carbon, climate, and energy futures: Determinants and portfolio risk management implications," Energy Economics, Elsevier, vol. 127(PB).
    19. Sajid Sarwar & Muhammad Yaqoob Javed & Mujtaba Hussain Jaffery & Muhammad Saqib Ashraf & Muhammad Talha Naveed & Muhammad Annas Hafeez, 2022. "Modular Level Power Electronics (MLPE) Based Distributed PV System for Partial Shaded Conditions," Energies, MDPI, vol. 15(13), pages 1-39, June.
    20. Wang Gao & Jiajia Wei & Shixiong Yang, 2023. "The Asymmetric Effects of Extreme Climate Risk Perception on Coal Futures Return Dynamics: Evidence from Nonparametric Causality-In-Quantiles Tests," Sustainability, MDPI, vol. 15(10), pages 1-19, May.

    More about this item

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02765-4. 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: https://www.nature.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.