Temporal and spatial heterogeneity research of urban anthropogenic heat emissions based on multi-source spatial big data fusion for Xi’an, China

• Published in: Energy and buildings Vol. 240; p. 110884
• Main Authors: Xu, Duo, Zhou, Dian, Wang, Yupeng, Meng, Xiangzhao, Gu, Zhaolin, Yang, Yujun
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 01.06.2021; Elsevier BV
• Subjects: Anthropogenic factors; Anthropogenic heat emission; Big Data; Cooling loads; Cooling systems; Data integration; Dynamic trajectory; Emission; Emissions; Energy balance; Geographical locations; Heat; Heterogeneity; Human influences; Internet; Mathematical analysis; Multi-source spatial data; Spatial data; Spatial discrimination; Spatial heterogeneity; Spatial resolution; Spatiotemporal heterogeneity; Thermal analysis; Traffic; Traffic conditions; Urban heat islands; Spatiotemporal heterogeneity; Multi-source spatial data; Dynamic trajectory; Anthropogenic heat emission; Traffic conditions

[Display omitted] •A method of calculating the AHE based on multi-source spatiotemporal big data.•Activity trajectory and real-time traffic conditions were jointly used in spatial integration to estimate the AHF.•Land use and remote sensing data were jointly used in estimating the AHF of buildings.•...