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Urban functional area (UFA) is a core scientific issue affecting urban sustainability. The current knowledge gap is mainly reflected in the lack of multi-scale quantitative interpretation methods from the perspective of human-land interaction. In this paper, based on multi-source big data include 250 m × 250 m resolution cell phone data, 1.81 × 105 Points of Interest (POI) data and administrative boundary data, we built a UFA identification method and demonstrated empirically in Shenyang City, China. We argue that the method we built can effectively identify multi-scale multi-type UFAs based on human activity and further reveal the spatial correlation between urban facilities and human activity. The empirical study suggests that the employment functional zones in Shenyang City are more concentrated in central cities than other single functional zones. There are more mix functional areas in the central city areas, while the planned industrial new cities need to develop comprehensive functions in Shenyang. UFAs have scale effects and human-land interaction patterns. We suggest that city decision makers should apply multi-sources big data to measure urban functional service in a more refined manner from a supply-demand perspective. [ABSTRACT FROM AUTHOR]

There are many problems, such as poverty, unemployment, poor infrastructure and how to improve the ecological environment, in the shantytowns of old industrial cities. Shantytowns are the most centralized areas with different contradictions, referred to as the 'problem areas' of urban sustainable development. The shantytown transformation of old industrial cities is a typical process of unit community disintegration, which is reflected not only in the reconstruction of physical space but also in the community renewal of social spatial integration and culture reconstruction. Based on qualitative research, questionnaires and in-depth interviews, taking Tiexi Worker Village in Shenyang as a research case, this paper attempts to analyse the characteristics and driving forces of the community renewal of shantytown transformation in old industrial cities. We found that the physical space of Tiexi Worker Village has changed considerably, which is embodied in its land use structure, living environment and community service facilities, reflecting the development of community function from simple industrial function to comprehensive functions. The residents in this community have experienced a transformation from a period of homogeneity to one of heterogeneity. The social network of the community has been destroyed. Social stratification, social differentiation and higher fluidity have occurred. Community renewal is mainly affected by macro factors such as policy regulation, economic driving, condition constraints, and micro factors such as residents' choice of living space and willingness to renew their communities. The transformation policy of the old industrial zone and the development policy of the new urban area are the fundamental and deep-seated reasons for the renewal of Tiexi Worker Village, which determine the direction of the renewal and development of the community. The paid use of land and the development of the real estate industry are the direct stimulating factors for the renewal of Tiexi Worker Village, which become the direct reasons for the spatial transformation. The changes in the population in urban and rural areas and the promotion of traffic are the driving factors for the renewal of the community, while the choice of residents and their willingness regarding community renewal are the endogenous forces for promoting community renewal. Finally, the author attempts to put forward a model of the interlaced mechanism of the forming of community renewal at the macroscopic and microcosmic levels, which are the urban renewal and reconstruction and social space differentiation of community residents, respectively. Keywords: old industrial city; shantytown; community renewal; mechanism; Tiexi Worker Village [ABSTRACT FROM AUTHOR]

Based on urban physical space and theory of landscape ecology, a triune assessment framework —'size-density-morphology'—was constructed in order to analyze the spatial pattern and the scale effect of urban resilience in Shenyang of China in 2015, and to explore the main impact factors of landscape under different spatial scale backgrounds. The results show that: 1) Urban resilience is an optimal combination of the resilience of size, density, and morphology. The urban resilience of Shenyang displays scale effect; the overall resilience level increases with the increase in scale, while the spatial difference and spatial similarity tend to decrease resilience. 2) As 2 km, 1 km and 2 km are scale inflection points of average value curves for size resilience, density resilience and morphology resilience, respectively in an urban setting; the optimal scale unit of comprehensive resilience is 1 km. Choosing 1 km–2 km as the basic spatial scale better depicts overall pattern and detailed characteristics of resilience in Shenyang. The spatial amplitudes of 0.5 km and 1 km are sensitive points for spatial autocorrelation of morphology and density resilience, size, and comprehensive resilience to scale effect. 3) The major landscape factors of urban size and morphology resilience transform with scale expansion. Aggregation index (AI) has a significant impact on urban resilience at different scales; its influence increases significantly with the increase in scale. 4) The high-level area of comprehensive resilience in Shenyang is the eastern ecological corridor area, while the low value area is the peripheral extension area of the city. To promote the overall level of resilience in Shenyang, this paper argues that the construction of ecological infrastructure should be strengthened in the peripheral extension area in a balanced manner. In the city center, population and building density should be controlled; the intensity of human activities should be reduced; impetus should be placed on landscape heterogeneity; and the homogeneous expansion of the area of construction should be prevented. In the eastern ecological corridors, the exploitation of ecosystem lands should be strictly controlled, and the integrity of the green landscape patches should be maintained. [ABSTRACT FROM AUTHOR]