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KeywordsLULC change; spatial pattern; CLUE-S model; Markov model; scenario simulation and prediction; Beijing; urban land expansion; economic transition; urbanization; Yangtze River Delta (YRD); China; urban spatial structure; employment density; subcenter; urban development; Beijing; Land use change; photointerpretation; stability grade; rate of artificialization; medium/small sized city; planning framework; sustainability; gentrification; riskscapes; land use; environmental injustice; inequitable development; urban geography; Economic growth; geological disasters; meteorological disasters; human capital; physical capital; urban residential landscape; employees in government departments; urban demolition displaced; residential spatial differentiation; market mechanism; urban land expansion; urbanization; land use policy; sustainable development; Shenzhen; China; urbanization patterns; world cities; urban growth modes; diffusion-coalescence hypothesis; landscape metrics; landscape fragmentation; walkability; land use; physical activity; spatial regression; Salt Lake County; Wi-Fi; wireless cities; GIS spatial analysis; digital divide; China; informal land development; informal housing; urban growth; township government; decentralization; land development; land revenue; public Infrastructure; urban economic growth; mediating effect; rail transit; housing price; expectation; panel data; urbanization; urban expansion; urban sprawl; spatial inequality; sustainable development
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