High-Resolution Mapping of the Urban Built Environment Stocks in Beijing
Ruichang Mao, Yi Bao, Zhou Huang, Qiance Liu, Gang Liu
Abstract
) became the densest. Correlation analyses between material stocks and socioeconomic factors at a high resolution reveal an inverse relationship between building and road stock densities and suggest that Beijing is sacrificing skylines for space in urban expansion. Our results demonstrate that harnessing emerging big data and analytics (e.g., point of interest data and web crawling) could help realize more spatially refined characterization of built environment stocks and highlight the role of such information and urban planning in urban resource, waste, and environmental strategies.
Topics & Concepts
BeijingStock (firearms)Urban planningBuilt environmentGreenhouse gasEnvironmental resource managementEnvironmental scienceBusinessGeographyChinaCivil engineeringEngineeringBiologyArchaeologyEcologyEnvironmental Impact and SustainabilitySustainable Building Design and AssessmentMunicipal Solid Waste Management