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Journal of Chinese
            Architecture and Urbanism                                      Spatial scale plasticity of urban residential areas






























                                          Figure 3. Path of analysis. Source: Diagram by the authors

            Table 1. Classification of residential quarters in Shanghai
            Image feature     Type                Image feature    Type            Image feature     Type
                              1. Commercial housing               2. Workers’ village                3. Apartment






                              4. Garden Lilong                    5. Lilong                          6. Villa







            lilong (Liao et al., 2008), and we calculated the area of each   the workers’ new village, commercial housing, and lilong
            residential quarter. Third, the data for Baidu architecture    show reported cases, while the  figures for the villa and
                                                          6
            were used to calculate the average number of building   apartment are only 37% and 34%, respectively (Figure 4).
            floors  and  the  floor  area  ratio  of  each  residential  quarter.   The proportion of reported cases is high and densely
            In addition, the population of each residential quarter was
            counted using the 100-meter raster population of night   distributed in the residential areas of the seven districts in
            lighting data . The address points where the cases appeared,   the central city of Shanghai, located in Puxi. Based on the
                     7
            and the area of interests (AOI) data are correlated to analyze   geographical distribution of the residential quarters with
            the characteristics of the residential quarters with reported   reported cases, the distribution of the number of days with
            cases (Table l).                                   reported cases in commercial housing and the workers’
                                                               new village is measured with the Kriging interpolation
            3.2.2. Statistical characterization                method (Kuntz & Helbich, 2014) (Figure 5).
            A higher proportion of cases were reported in the lilong, the   The  residential  quarters with longer  duration  of
            workers’ new village, and the commercial housing areas. In   consecutive reports of new cases do not generally have a
            contrast, a lower proportion of cases were reported in the   large dimension, high average number of floors, or large
            apartments, villas, and garden lilong areas. About 59% of
                                                               volume ratio. The average number of days with new cases is
            6       https://map.baidu.com/ [Last accessed 2022-06-23]  5.92 days for residential quarters with less than seven floors,
            7        https://www.udparty.com/index.php/detail/article   6.44  days for residential quarters with 7–15 floors, and
                   details/?id=4992 [Last accessed 2022-06-23]  5.64 days for residential quarters with more than 15 floors.


            Volume 5 Issue 3 (2023)                         4                        https://doi.org/10.36922/jcau.1242
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