Author
Listed:
- Qian Zhang
(School of Architecture, Tianjin University, Tianjin 300072, China)
- Jianwei Yan
(School of Architecture, Tianjin University, Tianjin 300072, China)
- Ting Sun
(School of Architecture, Tianjin University, Tianjin 300072, China)
- Juan Liu
(School of Architecture, Tianjin University, Tianjin 300072, China)
Abstract
In the new phase of urbanization in China, the collective cultural landscapes of subway stations in many metropolises are flourishing, providing a powerful way to coordinate urban cultural development and display the image and identity of the city. This study focuses on the image-building cultural landscapes of subway stations. In the theoretical analysis section, it clarifies the construction logic with supporting theory, highlighting the key concepts involved: environmental design, cultural image perception and place perception, and setting out a structural framework of hypotheses concerning the relationships between these three concepts. In the empirical section, six stations in the urban historical center of Xi’an city were selected as the objects, and evaluation indexes of the three variables based on the perspective of the individual were constructed. Using a questionnaire and a combination of factor analysis and structural equation modeling methods, the data from 480 samples were then analyzed. The results were as follows: the cultural image and place perception presented by the environmental design of subway stations are universal to different categories of people; the structural model results showed that environmental design positively affects cultural image perception and place perception; the mediating effect results showed that environmental design affects place perception through cultural image perception. The empirical results confirmed the necessity and rationality of building the image of the cultural landscape of subway stations. Finally, the study makes suggestions for the optimization of current subway landscape development practices. The contribution of this study lies in the construction of a vertical analysis framework from “encoding: construction” to “decoding: perception”, which could provide a reference for the integration of theory and practice for the cultural landscapes of subway stations in Chinese metropolises. However, the innovative definitions and methods used to examine some of the concepts also have a certain subjectivity and therefore require further evidence-based investigation.
Suggested Citation
Qian Zhang & Jianwei Yan & Ting Sun & Juan Liu, 2023.
"Image-Building and Place Perception of the Subway Station’s Cultural Landscape: A Case Study in Xi’an, China,"
Land, MDPI, vol. 12(2), pages 1-20, February.
Handle:
RePEc:gam:jlands:v:12:y:2023:i:2:p:463-:d:1066242
Download full text from publisher
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:12:y:2023:i:2:p:463-:d:1066242. 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: 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.