Page 36 - JCAU-6-3

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

Figure 11. Word cloud diagram of high-frequency words. Source: Drawing by the author

cognitive perceptions radiating outward in concentric both methods and considering different age ranges, it is
circles. Particularly notable is the concentrated spatial evident that cultural educational images are mainly highly
characteristics of the area around the Jingjiang Palace–the recognized in young individuals.
Elephant Hill Scenic Area being obvious. Predominantly, the In terms of high-awareness areas, traditional analysis
most cognized images revolve around recreation, featuring results are in good agreement with big data analysis results,
natural landscape elements and scenic parks as the primary both indicating that the area with the highest awareness
components, followed by commercial services. However, in the urban central space of Guilin centers around the
it’s important to acknowledge the limitations inherent in recreational and commercial area with the Elephant Hill
Weibo location data, primarily stemming from potential Scenic Area as the core. However, space syntax analysis
inaccuracies in location tagging and the demographic skew results yield a different perspective, identifying the high-
toward younger users. In addition, the word frequency awareness area as the daily living area comprising the
analysis conducted on travelogue texts primarily reflects the southeast of the Lijiang River, the Wulidian Fruit and
perspectives of foreign tourists. Their cognition of the images Vegetable Wholesale Market, and the Sanlidian Square.
within the urban central space of Guilin mainly focuses on Spatial syntax research emphasizes the degree of attention
recreation, with a smaller emphasis on commercial aspects. given to intersecting road networks, which may explain
Interestingly, many of these recognized locations are
clustered near Zhongshan Middle Road and Guilin Road, this discrepancy. Despite the general familiarity people
constituting the old town area. have with the area near the Xiangshan Scenic Area, the
narrow and winding roads within the old city, combined
3.4. Comparative analysis of the three with natural geographical elements dominated by hills
methodologies and lakes, limit passage to a certain extent. Conversely,
the area surrounding the Wulidian Fruit and Vegetable
The three methodologies—traditional analysis, spatial Wholesale Market and Sanlidian Plaza in the southeast of
syntax analysis, and big data analysis—allow for a the Lijiang River underwent relatively recent development,
comprehensive analysis of cognitive images in the urban with modern planning comprehensively considering its
central space of Guilin. In terms of cognitive images, the
high-awareness images analyzed by the three methodologies relationship with surrounding areas. Therefore, its plot
function is more open, the road network is accessible and
substantially overlap, mainly featuring recreational images expansive, and the roads are wide enough to facilitate high
such as the Jingjiang Palace, the Elephant Hill Scenic accessibility. These factors attract increased traffic flows,
Area, the Guihu Lake, and the Ronghu Lake, alongside
commercial images such as the East-West Lane and the thereby enhancing recognition levels.
Zhengyang Pedestrian Street. However, slight differences In terms of path cognition, significant differences exist
emerged between the results of traditional analysis and among the three analysis methods. When combining
big data analysis. Specifically, cultural educational images these methods, a commonality emerges between any two
were less cognized in the traditional analysis compared of the three regarding roads with high cognition. Both
to the findings from big data analysis. When combining the traditional analysis and the spatial syntax analysis

Volume 6 Issue 3 (2024) 12 https://doi.org/10.36922/jcau.1032