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Journal of Chinese
            Architecture and Urbanism                                             Urban features of PRD in online image



            online data. However, this study mainly considers public   (ii)  By applying the methods of image recognition
            contributions through photo uploads and does not fully   and  textual  word  frequency  analysis,  this  study
            address the perspectives of individuals who did not   identifies the recognizable features of central towns
            participate in this form of expression. A critical question for   in the PRD. These towns exhibit distinct themes and
            future research is: how can digital technology be employed   subtle variations that can guide their development.
            to build a representative Lingnan town image network that   In formulating town development strategies, these
            incorporates both online and offline public participation?  features can be further explored and expanded to
                                                                  transform and optimize the town’s characteristics,
              In addition, future efforts should focus on constructing
                                                                  creating a compelling town image and brand.
            urban actor networks to assist in deconstructing traditional   (iii) Internet-based image evaluation functions as a form
            urban  acquaintance  networks  and  rewriting  urban   of “physical examination” for towns, conducted by the
            memory (Hu, 2014). This approach could significantly   public. This approach assesses both the external image
            improve the spatial image of urban areas. With the    and internal experience of towns, mapping public
            advancement of informatization and digitalization, future   perception of spatial quality, popular activities, and
            studies may develop computational models of city images   functional division.
            using semantic segmentation, data mining, and machine
            learning technologies (Filomena et al., 2019). These tools   Acknowledgments
            could facilitate the integration of online and offline public
            participation. This article uncovers image-map features   We extend our gratitude to Xu Gaofeng and Zhou Yongxu
            influenced by public preference and explores the formation   for their valuable assistance with research methods.
            mechanism of the digital sense of place (Yu & Chen, 2024).   Funding
            It also extends Lynch’s urban image theory by predicting
            future images that integrate vision, imagination, and real   National Natural Science Foundation Project: “Study on
            spatial elements.                                  the development mechanism of Lingnan town image
                                                               under the participation of network society” (Grant
            6. Conclusion: The unique imageability of          number: 52178037).
            towns in the Internet era                          Conflict of interest
            An urban image represents people’s perception of physical
            space combined with their thoughts and emotions,   Miaoxi Zhao is an Editorial Board Member of this journal but
            making it an effective metric for assessing spatial quality   was not in any way involved in the editorial and peer-review
            (Tian, 2010). In contemporary settings, spatial media are   process conducted for this paper, directly or indirectly.
            closely connected to the production of everyday spatial   Separately, other authors declared that they have no known
            knowledge. The interconnection of cyberspace and   competing financial interests or personal relationships that
            geospatial dimensions forms a hybrid cyberspace (Elwood   could have influenced the work reported in this paper.
            & Leszczynski, 2013; Madge & Connor, 2005; Wang &   Author contributions
            Wang,  2020),  which  can be  used  to  evaluate  regional
            development (Chen et al., 2022).                   Conceptualization: Miaoxi Zhao, Min Xu
                                                               Formal analysis: Min Xu, Tengxiao Xie
              Based on empirical evidence, this study demonstrates   Investigation: Min Xu, Tengxiao Xie
            the following key findings:                        Methodology: Miaoxi Zhao, Min Xu
            (i)  Urban image is defined by a blend of urban and   Writing – original draft: Min Xu, Tengxiao Xie
               rural characteristics For example, the integration   Writing – review & editing: All authors
               of historical features, the overlap of historical and
               production spaces, and the circulation of industry   Ethics approval and consent to participate
               and commerce – identified through the principal
               component analysis of urban built-up areas – all   Not applicable.
               highlight the merging of cities and towns within the   Consent for publication
               framework of urban development. Simultaneously,
               the  presence  of  rural  folk  customs  and  agricultural   Not applicable.
               landscapes underscores the retention of certain rural
               attributes. Nevertheless, factor rankings reveal that   Availability of data
               the urban character dominates the town image, with   The data are open-access, and relevant researchers are
               rural landscapes playing a secondary role.      welcome to contact the authors to access the details.


            Volume 7 Issue 2 (2025)                         13                       https://doi.org/10.36922/jcau.5733
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