Page 92 - JCAU-6-2

Journal of Chinese
Architecture and Urbanism Residential urban heritage space study

in living patterns. The formula for calculating RE is as Pingjiang District were transformed into Axial Maps to
follows: represent their topological relationships. This process
serves as the foundation for subsequent analyses of the
RE X( i ) n j1 r ()log r () (VII) Spatial Topology System.
j
j
In addition, in this study, we utilized POI data from
Here, RE(X) represents the RE of a specific spatial the Google API to analyze FME. This data was collected in
i
unit X, and n is the number of different residential uses. r j 2022. To ensure the consistency and accuracy of the data,
i
denotes the proportion of each residential use j within the uniform data processing was carried out. Data analysis was
spatial unit. conducted on the open-source geographic information
(f) Population density entropy (PDE): system platform, QGIS 3.22. This platform is capable of
processing, analyzing, editing, and visualizing geographic
PDE measures the diversity and degree of change data. It features the Space Syntax Toolkit, which aids users
in population distribution by analyzing the population in generating segment maps, conducting spatial topology
distribution within spatial units. The formula for analyses, managing geographic information, and executing
calculating PDE is as follows: data analysis operations. This toolkit serves as an invaluable
resource for comprehensively understanding the spatial
PDEX( i ) n j1 ( peo )log ( peo ) (VIII) configurations and relationships within residential urban
j
j
heritage spaces.
Here, PDE(X) represents the PDE, n indicates different
i
spatial units, and peo is the population density ratio within 4. Analysis results of case studies
j
the i spatial unit. 4.1. Analysis results
th
3.3. Data sources and processing Building on the aforementioned analytical framework
In this study, we integrated the Spatial Topology System and data resources, we conducted a spatial syntactic and
with the Material Structure System to delve deeply into the material structure analysis of the historical districts of
paradigm of residential urban heritage space composition. Nakauji District and Pingjiang Historic District.
We employed a comprehensive approach, utilizing 4.1.1. Spatial syntactic analysis results
multiple data sources such as planning documents, urban
road system data, multi-source online map data, and POI The performance of the research cases was analyzed in the
data for cross-validation. following two dimensions: Life Integration (Int.V R1000 ) and
Global Integration (Int.V ):
In the Gusu District of Suzhou, we use Open Street R5000
Map data for the Gusu District Road system, multi-source (a) Pingjiang Historic District
online map data, and refer to the “Suzhou Historic and Figure 3A presents the analysis results for Life
Cultural City Protection Special Plan (2035)” to spatially Integration. Pingjiang Road and its fishbone-like
divide the research object – Pingjiang Historic District. We distribution of east-west branches (such as Daxin Bridge
defined the research scope: north to Baita East Road, east Lane, Xuan Bridge Lane, Daru Lane, and Xiao Family
to Cang Street, west to Lindun Road, and south to Ganjiang Lane) exhibit high local centrality due to their network-
East Road. Based on the distribution of residential spaces, like layout, enhancing accessibility for external tourists.
we divided it into 33 subsystems (Figure 2A). Conversely, areas with lower local centrality witness the
The urban spatial data of Uji City mainly come from east-west main streets gradually transitioning into primary
the “Topographic Map·Terrain Map History (2022)” and entrances for residents, while complex, winding alleys
“Basic Map Information Main Project (2022)” GML data become the most difficult areas for external tourists to
published by the Geospatial Information Authority of access. Particularly, noteworthy is the eastern part of the
Japan. After field research, we clarified the distribution site, where local centrality exhibits low values.
of residential urban spaces and heritage spaces in the Figure 3B displays the analysis results for Global
Uji area of Uji City and determined the boundaries and Integration. Pingjiang Road, along with its main
analysis scales of the research objects based on residents’ intersecting roads, Ganjiang Road, and the secondary
travel methods, dividing the urban area of Uji City into 15 intersecting road, Lindun Road, become the areas with the
subsystems (Figure 2B). highest global centrality. At the same time, Pingjiang Road,
Based on space syntax theory and graph theory, the Cang Street, and Baita East Road also exhibit relatively
urban road network systems of Uji City and Suzhou’s high global centrality. However, within the Pingjiang

Volume 6 Issue 2 (2024) 6 https://doi.org/10.36922/jcau.1732