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Spatial inequality in basic service provision is a key challenge for smart city development strategies. With a focus on walkable accessibility, this paper proposes a new methodological approach to analyzing spatial inequalities in metropolitan cities. In addition to proving the effectiveness of the proposed methodology by using New York City as an empirical case, the insights offered by the analysis contribute to an improvement in the current understanding of the negative implications that spatial inequalities can have on public health. Policies concerning local public service rearrangement should consider spatial inequalities to promote more effective forms of public participation both in the United States and globally. [ABSTRACT FROM AUTHOR]

Since the late 1990s, Chinese cities have been experiencing significant suburbanization with massive numbers of people moving out of city centers. Facing this background, this paper aims to identify the typology of residential resettlements in suburban areas, and analyze the mechanisms of each residential resettlement via archive studies, census tracks and field research instead of the traditional macro-demographic approach. Five types of resettlement are identified, comprising public housing districts for poor people with housing difficulties, low-end private housing districts for lower socio-economic people, multiple housing districts (containing public housing and low-end private housing) for displaced shantytown residents, and villa areas for the wealthy. This suburban residential resettlement pattern is generally different from that in Western cities, which is largely attributed to the Chinese governments' monopoly of land supply and public service provision. It is also concluded that the state power, capitalist actors (e.g., developers and private enterprises), and other professionals (e.g., planners and architects) have become the Chinese characterized ‘pushing’ factors and actors in driving the typology of suburban resettlement housing in the context of urbanization era of China. Besides, the five typology of resettlement housing has brought about socio-spatial consequences including a spatial mismatch for lower socio-economic groups in suburban areas, which may lead to the formation of poverty belts around Chinese cities. This may provide important implication for understanding the residential resettlement in other developing countries with similar context. [ABSTRACT FROM AUTHOR]

A significant cause of economic recession and environmental change that has attracted the extensive attention of researchers and policy-makers worldwide is the land urbanization bubble (LUB) – a rapid and catastrophic growth and decline in urban development fueled by a mixture of misplaced exuberance and speculation. It is also an important topic for sustainable urban development and urban renewal, and is of particular interest to China, as one of the countries with the largest amount of urban land, most drastic change, and most prominent land urbanization conflicts in the world. This study analyzes the characteristics and presence of dynamic change in LUBs during China's urbanization process through a case study of the changing space-time rules in Hangzhou in Zhejiang province over the years 2004, 2007, 2010, 2015, and 2020. Based on a literature review and analysis of the mechanism driving Hangzhou's LUBs, we design a method for their classification and measurement. This reveals the existence of an overall 18.24 km2 LUB in 2010 and a predicted 40.62 km2 LUB in 2020. Locally, the Jianggan and Yuhang districts are expected to have a higher LUB risk by 2020, the Bingjiang and Xiaoshan districts a medium risk, the Shangcheng and Xiacheng districts a low risk, and the Xihu district having no LUB risk. Finally, three policy recommendations are proposed in consideration of Hangzhou's economic development and land use characteristics, comprising (1) reducing LUBs by promoting intensive urban expansion, (2) reducing the possibility of LUBs by building a market-oriented control system for construction land expansion, and (3) the dynamic control of LUB risks by differential regulation of the expansion of urban construction land. • These identified LUB areas are classified into two categories in this paper, including controllable LUB uncontrollable LUB. • This research found no LUBs in 2007 and 2015, but with an 18.24 km2 LUB in 2010 and an expected 40.62 km2 bubble in 2020. • The concept of LUB risk was introduced and calculated in this paper for decision makers' reference. [ABSTRACT FROM AUTHOR]

• The spatial dynamics of urban construction land were explored by using a hybrid Logistic CA model. • We visualize how predictions on spatial expansion will benefit urban planners and policymakers. • The model could explain the underlying mechanism of urban growth in a spatial-economic and social way. • We indicate the effective quantification of land patches can improve the compact urban growth. • Effective quantification of the construction land patches could reduce the unordered urban growth. Why does some urban area grow faster than others? Although the role of spatial optimization of urban construction land is at the core of regional economic development, the question remains to be answered so far. This paper aims to explore the spatial dynamics of urban construction land in the central urban areas by integrating Logistic regression and cellular automata models. The combination of the two modeling approaches aims to investigate the evolving dynamics of urban land use patterns and further visualize how predictions on spatial expansion will benefit urban planners and policymakers. Simulation analysis emphasized to what extent do the influencing factors promote or inhibit urban growth. Theoretical frameworks tend to explain the underlying mechanism of urban growth in a spatial, economic and social way, taking the city growth as a self-organized organism with complex actors and rules. In this paper, we present a hybrid Logistic cellular automata model to examine the city's self-organizing spatial growth process from a bottom-up perspective and interpret why non-construction land was converted to construction land for urban development purposes at Hangzhou in the past two decades. We argue that although the construction land is dispersed irregularly across the city, the logistic cellular automata model will generate the underlying patterns of urban expansion and offer more facts-based implications. [ABSTRACT FROM AUTHOR]

Smart city development plays an important role in achieving urban sustainability. This paper uses mapping of knowledge domain (MKD) analysis to review 965 studies concerning smart city development and urban sustainability (SCDUS). The most influential journals, scholars, articles, keywords, and regions in the SCDUS research field are identified. Research findings also reveal four prevailing topic clusters in the current SCDUS field, namely information technology, energy and environment, urban transportation and mobility, and urban policy and development planning. Potential research frontiers are further proposed. The findings contribute to a better understanding of the development of current SCDUS research. [ABSTRACT FROM AUTHOR]