IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i7p1377-d1691321.html
   My bibliography  Save this article

An Exploration of the Association Between Residents’ Sentiments and Street Functions During Heat Waves—Taking the Five Core Urban Areas of Chengdu City as an Example

Author

Listed:
  • Tianrui Hua

    (School of Architecture, Southwest Jiaotong University, Chengdu 610032, China)

  • Yufei Ru

    (School of Architecture, Southwest Jiaotong University, Chengdu 610032, China)

  • Sining Zhang

    (School of Architecture, Southwest Jiaotong University, Chengdu 610032, China)

  • Shixian Luo

    (School of Architecture, Southwest Jiaotong University, Chengdu 610032, China)

Abstract

Due to global warming, the impact of heat waves on the sentimental health of urban residents has significantly intensified. However, the associative mechanism between diverse urban functional layouts and residents’ emotions at the street scale remains underexplored. Taking the five core urban areas of Chengdu as an example, this study used natural language processing technology to quantify the sentiments in social media texts and combined traditional geographical information for spatial analysis and correlation analysis, to explore the spatial distribution pattern of sentiments during heat waves (SDHW), as well as the correlation between SDHW and the functional categories of streets (FCS). The findings are as follows: (1) There are significant differences in the spatial distribution pattern of residents’ sentiments in the five core urban areas, and positive emotions within the Second Ring Road exhibit a higher proportion than those of peripheral areas, while negative sentiments are more gathered in the eastern area. (2) The street categories of green space, park, and public show a significant promoting role on residents’ positive sentiments. (3) There is an association between the industrial and commercial categories and negative sentiments, and the impact of the traffic category on residents’ sentiments shows spatial differences. (4) The combination of the residential category and other functional categories has a strong correlation with sentiments, indicating that a reasonable functional combination within residential areas plays a crucial role in promoting residents’ positive sentiments. The current study revealed the influence mechanism of the functional categories of streets on residents’ sentiments during heat waves, providing a scientific basis from the sentimental dimension for the optimization of street functional categories, heat wave emergency management, and the construction of resilient cities.

Suggested Citation

  • Tianrui Hua & Yufei Ru & Sining Zhang & Shixian Luo, 2025. "An Exploration of the Association Between Residents’ Sentiments and Street Functions During Heat Waves—Taking the Five Core Urban Areas of Chengdu City as an Example," Land, MDPI, vol. 14(7), pages 1-24, June.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:7:p:1377-:d:1691321
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/7/1377/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/7/1377/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wen Zhong & Jian Suo & Xinxin Ren & Guopeng Li, 2021. "The Influence of Emotional Health on the Activity Characteristics of the Elderly and the Selection of Environmental Quality Factors in Residential Areas," IJERPH, MDPI, vol. 18(23), pages 1-18, November.
    2. Ramakrishnan, Sayanthan & Wang, Xiaoming & Sanjayan, Jay & Wilson, John, 2017. "Thermal performance of buildings integrated with phase change materials to reduce heat stress risks during extreme heatwave events," Applied Energy, Elsevier, vol. 194(C), pages 410-421.
    3. Baylis, Patrick, 2020. "Temperature and temperament: Evidence from Twitter," Journal of Public Economics, Elsevier, vol. 184(C).
    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. Ning Xiang & Limao Wang & Shuai Zhong & Chen Zheng & Bo Wang & Qiushi Qu, 2021. "How Does the World View China’s Carbon Policy? A Sentiment Analysis on Twitter Data," Energies, MDPI, vol. 14(22), pages 1-17, November.
    2. Nie, Binjian & She, Xiaohui & Du, Zheng & Xie, Chunping & Li, Yongliang & He, Zhubing & Ding, Yulong, 2019. "System performance and economic assessment of a thermal energy storage based air-conditioning unit for transport applications," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    3. Catarina Midões & Enrica De Cian, 2025. "Heat and well-being in the Old Continent," Working Papers 2025: 03, Department of Economics, University of Venice "Ca' Foscari".
    4. Díaz, Juan-José & Saldarriaga, Victor, 2023. "A drop of love? Rainfall shocks and spousal abuse: Evidence from rural Peru," Journal of Health Economics, Elsevier, vol. 89(C).
    5. Abraham Nathan Zoure & Paolo Vincenzo Genovese, 2023. "Comparative Study of the Impact of Bio-Sourced and Recycled Insulation Materials on Energy Efficiency in Office Buildings in Burkina Faso," Sustainability, MDPI, vol. 15(2), pages 1-26, January.
    6. Saafi, Khawla & Daouas, Naouel, 2019. "Energy and cost efficiency of phase change materials integrated in building envelopes under Tunisia Mediterranean climate," Energy, Elsevier, vol. 187(C).
    7. Cosaert, Sam & Nieto Castro, Adrian & Tatsiramos, Konstantinos, 2023. "Temperature and the Timing of Work," IZA Discussion Papers 16480, Institute of Labor Economics (IZA).
    8. Noailly, Joëlle & Nowzohour, Laura & van den Heuvel, Matthias & Pla, Ireneu, 2024. "Heard the news? Environmental policy and clean investments," Journal of Public Economics, Elsevier, vol. 238(C).
    9. Picchio, Matteo & van Ours, Jan C., 2024. "The impact of high temperatures on performance in work-related activities," Labour Economics, Elsevier, vol. 87(C).
    10. Ait Laasri, Imad & Es-sakali, Niima & Charai, Mouatassim & Mghazli, Mohamed Oualid & Outzourhit, Abdelkader, 2024. "Recent progress, limitations, and future directions of macro-encapsulated phase change materials for building applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    11. Lizana, Jesús & Chacartegui, Ricardo & Barrios-Padura, Angela & Ortiz, Carlos, 2018. "Advanced low-carbon energy measures based on thermal energy storage in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3705-3749.
    12. José-Luis Cruz & Esteban Rossi-Hansberg, 2024. "The Economic Geography of Global Warming," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 899-939.
    13. Lei Cheng & Chunlong Zhuang & Shengbo Li & Guangqin Huang & Hongyu Zhang & Fei Gan & Ningge Xu & Shanshan Hou, 2023. "Thermal Performance Optimization Simulation Study of a Passive Solar House with a Light Steel Structure and Phase Change Walls," Energies, MDPI, vol. 16(9), pages 1-15, April.
    14. Piotr Michalak, 2021. "Selected Aspects of Indoor Climate in a Passive Office Building with a Thermally Activated Building System: A Case Study from Poland," Energies, MDPI, vol. 14(4), pages 1-22, February.
    15. Xinming Du, 2023. "Symptom or Culprit? Social Media, Air Pollution, and Violence," CESifo Working Paper Series 10296, CESifo.
    16. Ahmad, Abrar & Memon, Shazim Ali, 2024. "A novel method to evaluate phase change materials' impact on buildings' energy, economic, and environmental performance via controlled natural ventilation," Applied Energy, Elsevier, vol. 353(PB).
    17. Zeyad Amin Al-Absi & Mohd Hafizal Mohd Isa & Mazran Ismail, 2020. "Phase Change Materials (PCMs) and Their Optimum Position in Building Walls," Sustainability, MDPI, vol. 12(4), pages 1-25, February.
    18. Wijesuriya, Sajith & Brandt, Matthew & Tabares-Velasco, Paulo Cesar, 2018. "Parametric analysis of a residential building with phase change material (PCM)-enhanced drywall, precooling, and variable electric rates in a hot and dry climate," Applied Energy, Elsevier, vol. 222(C), pages 497-514.
    19. Makridis, Christos A. & Schloetzer, Jason D., 2023. "Extreme local temperatures lower expressed sentiment about U.S. economic conditions with implications for the stock returns of local firms," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    20. Wang, Tingyu & Jiang, Yan & Huang, Jin & Wang, Shuangfeng, 2018. "High thermal conductive paraffin/calcium carbonate phase change microcapsules based composites with different carbon network," Applied Energy, Elsevier, vol. 218(C), pages 184-191.

    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:gam:jlands:v:14:y:2025:i:7:p:1377-:d:1691321. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.