By Fang Wang
From the cross-disciplinary standpoint of city administration and making plans, geography and structure, this ebook explores the speculation and strategies of city reminiscence, deciding upon Beijing's old constructions, historical parts, relevant components and town partitions as examine circumstances. it truly is divided into 3 elements: elements research, modeling and useful software. It lays a systematic origin and gives useful tools for the administration of old areas, citizens’ and advertisement actions, optimizing the format and constitution of the old areas, updating the security of outdated constructions, selling the natural development of historical websites and the sustainable improvement of urbanization with new concepts.
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Additional info for Beijing Urban Memory: Historic Buildings and Historic Areas, Central Axes and City Walls
Previous studies of urban memory included qualitative evaluation and quantitative evaluation. The qualitative evaluation focused on speciﬁc cases, exploring a district’s or region’s historical value, urban fabric and landscape features (Bai 2007). Regarding quantitative evaluation study, Shen et al. (2005) constructed an evaluation system with conservation of the current state, peripheral environment, historic context, architectural features and integrated spectacle as scoring indices. Li et al.
1 Statistical Features 13 Fig. 1 Spatial Characteristics The 345 selected historical buildings in the inner city are widely cited in the imperial city, central axes, border and the former Districts of Dongcheng, Xicheng, Chongwen and Xuanwu1 (Fig. 2). In terms of geographical distribution, 126 are distributed in the former Dongcheng District, followed by the former Xicheng District, with 87, the former Xuanwu District with 63, the former Chongwen District with 19, the imperial city with 38, and the border and central axes with 5 and 7, respectively.
Sphericity Chi-Square Df Sig. 8, it was quite suitable for PCA (principal component analysis). According to Bartlett’s test results3 (P ≤ 0), the test for the applicability of factor analysis was passed. ② The deletion and extraction of factors Factor analysis was conducted on the basis of 454 pieces of sample data by means of PCA (principal component analysis). Transforming these 50 original variables into another group of irrelevant variables by active transformation, these variables were then ranked in successively diminishing sequences of variance, choosing the principal components with characteristic values equal to or greater than 1 as initial factors and omitting the principal elements with characteristic values less than 1 to guarantee that the retained common factor could at least explain the variance of one variable.