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Impacts of Land Use Pattern in Metropolitan Area

Impacts of Land Use Pattern in Metropolitan Area

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Owing to the increased associations between land use patterns and economic, social, and environmental systems in metropolitan areas, the exploration of the impacts of land use is of great importance for more efficient land use in spatial planning and policy-making. This reprint contains mainly empirical studies focusing on the effects of land use attributes on a series of socioeconomic and environmental indicators, such as gross domestic product, entrepreneurship, housing prices, street-level pedestrian volume, carbon storage and emission, and microplastic concentrations. New data such as mobile phone signaling data and new approaches such as spatial interaction modeling are applied in the studies included in this reprint to describe land use patterns and the impacts of land use.

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Keywords

  • agglomeration cost
  • agglomeration diseconomies
  • agglomeration economies
  • built environment
  • carbon storage
  • China
  • city size
  • commuting spatial interactions
  • cost minimization
  • coupling coordination degree
  • distance decay effect
  • Drainage
  • driving factors
  • economic performance
  • efficiency decomposition
  • employment location and density
  • Entrepreneurship
  • evaluation system
  • functional centrality
  • Granger causality
  • gravity model
  • green space
  • hedonic price model
  • hong kong
  • housing price
  • industrial real estate
  • InVEST model
  • land availability
  • Land use
  • land use carbon emissions
  • land use efficiency
  • land-use planning implications
  • landscape shape index (LSI)
  • Macroeconomics
  • market efficiency
  • Metropolitan areas
  • Microplastics
  • mobile phone signaling data
  • morphological centrality
  • optimal city size
  • pedestrian volume
  • PLUS model
  • polycentricity
  • population location and density
  • price-to-rent
  • regional centrality
  • Regional differences
  • self-employment
  • Seoul
  • Service Industry
  • shape pattern index
  • Shenzhen
  • spatial pattern
  • STIRPAT model
  • stormwater
  • transit ridership
  • urban agglomeration
  • urban boundary
  • urban planning
  • urban spatial structure
  • urban–rural integration development
  • Walking

Links

DOI: 10.3390/books978-3-7258-0958-5

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