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Journal of Chinese
            Architecture and Urbanism                                      Multidimensional image of Guilin’s central space



            identify Lijiang Road as a highly cognized road, whereas   of Guilin’s urban central space, while commercial images
            Zhongshan Middle Road overlaps between the traditional   have, to some extent, contributed to the development of the
            analysis and the big data analysis. However, the big data   outer ring region of the urban central space. However, in
            results reveal that people exhibit the highest awareness of   general, the city’s construction lacks close integration with
            East-West Lane. There is no unified path of high cognition   the advantages of landscape. Furthermore, the distribution
            identified by all three methods. The consistency in research   of natural landscapes limits the development of urban
            results likely stems from Lijiang Road being a primary   traffic networks, resulting in a less comprehensible and
            road connecting important public places, such as stations,   less systematic urban central space in Guilin. Although
            experiencing heavy traffic flows. However, people usually   there is a noticeable development in tourism-oriented
            pass through quickly, resulting in limited emotional   cognitive images, it has not maximized the development
            attachment to specific places, thus reducing the likelihood   of other cognitive images in Guilin, nor integrated them
            of sharing records and geotagging on social platforms.   into an organic whole. Consequently, Guilin’s urban
            Zhongshan Middle Road, constructed early, hosts    central space exhibits less comprehensive development,
            numerous  recreational  and  commercial  cognitive  spaces   with a high-awareness area demonstrating characteristics
            along its route despite not having as strong connectivity   of widespread dispersion and limited aggregation. People’s
            to other areas  as newer roads.  People tend to  traverse   cognition of the area tends to be one-dimensional rather
            this path slowly, increasing the likelihood of forming   than multidimensional.
            strong emotional preferences and cognitive memories
            during multiple stays. The East-West Lane, a commercial   In future planning and development of the urban central
            pedestrian street that completely prohibits vehicle traffic,   space of Guilin, emphasis should be placed on preserving
            primarily serves recreational and entertainment purposes.   and strengthening its natural landscape, historical culture,
            People in this area are more likely to develop vivid cognitive   and modern commerce images. Attention should be directed
            memories. However, it suffers from weak publicity and is   toward fostering connections between different types of
            distant from the original urban public space, resulting in its   images and improving the accessibility and convenience of
            slow development. The demographic primarily cognizant   road traffic. Leveraging the relevant research conclusion, it
            of this area comprises young and middle-aged individuals.  is crucial to improve or reshape the urban images to expand
                                                               the cognizable scope of Guilin’s urban central space, enhance
              In general, the results of the traditional analysis and the   its readability, and strengthen its urban characteristics. In
            big data analysis are largely congruent, whereas the results   addition, this study provides valuable insights for urban
            of the spatial syntax analysis exhibit slightly less agreement   development planning in other regions. It proves that cities
            with the former two. This discrepancy likely arises from   with rich hilly terrain or dense water network distributions
            the spatial syntax methodology’s reliance on road network   in their central urban areas should prioritize planning and
            analysis, which encounters challenges in the presence of   designing their traffic networks. It is suggested to employ
            numerous old urban areas and natural landscapes within   modern means, such as viaducts, underground passages, or
            the urban central space of Guilin. While these areas have   other advanced public transportation systems, to strengthen
            garnered significant cognition throughout history, they   connectivity between different functional blocks within the
            also contribute to a fragmented urban spatial road network   city. Implementing these measures will effectively increase
            and relatively reduced road accessibility. The results of   access frequency to distinct urban images and subsequently
            spatial syntax cognition diverge from those of the other   stimulate people’s cognitive memory.
            two methods, leading to the dispersion of high-cognition
            image locations. Consequently, the high-cognition area   Grasping the cognitive imagery of the city can improve
            presents characteristics of widespread dispersion and   the assessment of its current urban space, providing deeper
            limited aggregation. This  disparity  reflects the  urban   insights into the population’s living habits and spatial
            pattern and image characteristics shaped by the prevalence   preferences. This understanding is crucial for meeting
            of hills and lakes throughout the urban central space of   the evolving needs of the population in the later stages
            Guilin.                                            of planning. Urban planning, as the macro-control of
                                                               the entire city, plays a vital role in this process. Through
            4. Discussion and conclusion                       scientific and meticulous planning, we can not only
            In summary, this study used three methods – traditional   develop the existing urban imagery elements, but also
            analysis, spatial syntax analysis, and big data analysis – to   create new urban imagery elements.
            investigate the urban cognitive images of Guilin’s urban   Acknowledgments
            central space. The findings highlight the prevalence of
            recreational images as the most prominent cognitive images   None.


            Volume 6 Issue 3 (2024)                         13                       https://doi.org/10.36922/jcau.1032
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