IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v383y2025ics0277953625007646.html
   My bibliography  Save this article

Assessing the impact of day and night urban outdoor environments on women's physiological and psychological states using pedestrian-centric street view images

Author

Listed:
  • Chen, Chongxian
  • Hou, Yongqi
  • Xiong, Xinrui
  • Hua, Yuru
  • Lin, Guangsi
  • Chen, Mengyun
  • Liu, Jingyi

Abstract

The urban environment significantly influences women's health and overall quality of life. However, less attention has been given to how the diurnal differences in these environments affect women's physiological and psychological responses during their experiences within them. This study employed field experiments, questionnaires, pedestrian-centric street view images, and deep learning methods to assess how residential, commercial, and leisure environments impact women's physiological and psychological states during both daytime and nighttime. Spatial autocorrelation analysis and Multiscale Geographically Weighted Regression (MGWR) were utilized to examine spatial patterns and identify key influential environmental factors. The results indicate that women's physiological and psychological states exhibit geographical clustering and are influenced by various outdoor environments during both day and night. Leisure environments during the day are associated with the lowest physiological arousal and the highest positive emotions, while residential environments at night correlate with the highest arousal and the lowest positive emotions. Factors such as "brightness," "openness," "colorfulness," and "greenness" affect women's states throughout the day and night. Additionally, "color saturation" significantly influences arousal in residential areas during the day, while "color temperature" enhances positive emotions in nighttime commercial environments. This study contributes to advancing our understanding of gendered experiences in contemporary urban spaces and supports the development of women-friendly cities by integrating a multidisciplinary perspective.

Suggested Citation

  • Chen, Chongxian & Hou, Yongqi & Xiong, Xinrui & Hua, Yuru & Lin, Guangsi & Chen, Mengyun & Liu, Jingyi, 2025. "Assessing the impact of day and night urban outdoor environments on women's physiological and psychological states using pedestrian-centric street view images," Social Science & Medicine, Elsevier, vol. 383(C).
  • Handle: RePEc:eee:socmed:v:383:y:2025:i:c:s0277953625007646
    DOI: 10.1016/j.socscimed.2025.118433
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953625007646
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2025.118433?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.

    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:eee:socmed:v:383:y:2025:i:c:s0277953625007646. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.