Detecting the sinks and sources of transportation energy consumption and its forces driving at multiple spatiotemporal scales using trajectory data

Boehme, 2015, Estimating the building based energy consumption as an anthropogenic contribution to urban heat islands, Sustainable Cities and Society, 19, 373, 10.1016/j.scs.2015.05.006 Buyantuyev, 2010, Urban heat islands and landscape heterogeneity: Linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns, Landscape Ecology, 25, 17, 10.1007/s10980-009-9402-4 Cao, 2021, Ridership exceedance exposure risk: Novel indicators to assess PM2.5 health exposure of bike sharing riders, Environmental Research, 197, 10.1016/j.envres.2021.111020 Cao, 2021, Spatiotemporal variations and controls on anthropogenic heat fluxes in 12 selected cities in the eastern China, Chinese Geographical Science, 31, 444, 10.1007/s11769-021-1203-y Chakraborty, 2015, Assessment of land surface temperature and heat fluxes over Delhi using remote sensing data, Journal of Environmental Management, 148, 143, 10.1016/j.jenvman.2013.11.034 Chen, 2019, Characterizing spatiotemporal dynamics of anthropogenic heat fluxes: A 20-year case study in beijing–tianjin–hebei region in China, Environmental Pollution, 249, 923, 10.1016/j.envpol.2019.03.113 Chen, 2016, Simulation of the urban climate in a Chinese megacity with spatially heterogeneous anthropogenic heat data, Journal of Geophysical Research: Atmospheres, 121, 5193, 10.1002/2015JD024642 Chen, 2014, WRF simulations of urban heat island under hot-weather synoptic conditions: The case study of Hangzhou City, China, Atmospheric Research, 138, 364, 10.1016/j.atmosres.2013.12.005 Chen, 2006, Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes, Remote Sensing of Environment, 104, 133, 10.1016/j.rse.2005.11.016 Deng, 2020, A big data approach to improving the vehicle emission inventory in China, Nature Communications, 11, 2801, 10.1038/s41467-020-16579-w Doick, 2014, The role of one large greenspace in mitigating London's nocturnal urban heat island, Science of the Total Environment, 493, 662, 10.1016/j.scitotenv.2014.06.048 Dong, 2017, Global anthropogenic heat flux database with high spatial resolution, Atmospheric Environment, 150, 276, 10.1016/j.atmosenv.2016.11.040 Fan, 2005, Modeling the impacts of anthropogenic heating on the urban climate of philadelphia: A comparison of implementations in two PBL schemes, Atmospheric Environment, 39, 73, 10.1016/j.atmosenv.2004.09.031 Gong, 2016, Inferring trip purposes and uncovering travel patterns from taxi trajectory data, Cartography and Geographic Information Science, 43, 103, 10.1080/15230406.2015.1014424 Guan, 2020, The multiplicity of self-selection: What do travel attitudes influence first, residential location or work place?, Journal of Transport Geography, 87, 10.1016/j.jtrangeo.2020.102809 Hernández, 2004, Energy sustainability and global warming in Spain, Energy Policy, 32, 383, 10.1016/S0301-4215(02)00308-7 Hu, 2012, Estimation of urban energy heat flux and anthropogenic heat discharge using aster image and meteorological data: Case study in beijing metropolitan area, Journal of Applied Remote Sensing, 6, 3559, 10.1117/1.JRS.6.063559 Iamarino, 2012, High-resolution (space, time) anthropogenic heat emissions: London 1970–2025, International Journal of Climatology, 32, 1754, 10.1002/joc.2390 Ichinose, 1999, Impact of anthropogenic heat on urban climate in Tokyo, Atmospheric Environment, 33, 3897, 10.1016/S1352-2310(99)00132-6 Imhoff, 2010, Remote sensing of the urban heat island effect across biomes in the continental USA, Remote Sensing of Environment, 114, 504, 10.1016/j.rse.2009.10.008 Kato, 2007, Estimation of storage heat flux in an urban area using ASTER data, Remote Sensing of Environment, 110, 1, 10.1016/j.rse.2007.02.011 Kikegawa, 2014, Observed and simulated sensitivities of summertime urban surface air temperatures to anthropogenic heat in downtown areas of two Japanese Major Cities, Tokyo and Osaka, Theoretical and Applied Climatology, 117, 175, 10.1007/s00704-013-0996-8 Kong, 2014, Effects of spatial pattern of greenspace on urban cooling in a large metropolitan area of eastern China, Landscape and Urban Planning, 128, 35, 10.1016/j.landurbplan.2014.04.018 Li, 2013, A multi-resolution ensemble study of a tropical urban environment and its interactions with the background regional atmosphere, Journal of Geophysical Research: Atmospheres, 118, 9804, 10.1002/jgrd.50795 Lin, 2021, Impact of high-speed rail on road traffic and greenhouse gas emissions, Nature Climate Change, 11, 952, 10.1038/s41558-021-01190-8 Liu, 2015, Revealing travel patterns and city structure with taxi trip data, Journal of Transport Geography, 43, 78, 10.1016/j.jtrangeo.2015.01.016 Liu, 2012, Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai, Landscape and Urban Planning, 106, 73, 10.1016/j.landurbplan.2012.02.012 Lu, 2017, Global anthropogenic heat emissions from energy consumption, 1965–2100, Climatic Change, 145, 459, 10.1007/s10584-017-2092-z Meinshausen, 2009, Greenhouse-gas emission targets for limiting global warming to 2 °C, Nature, 458, 1158, 10.1038/nature08017 Nie, 2014, Spatiotemporal characteristics of anthropogenic heat in an urban environment: A case study of tsinghua campus, Building and Environment, 82, 675, 10.1016/j.buildenv.2014.10.011 Oke, 1988, The urban energy balance, Progress in Physical Geography, 12, 471, 10.1177/030913338801200401 Rao, 1996, Recent climatic change, greenhouse gas emissions and future climate: The implications for India, Theoretical and Applied Climatology, 55, 41, 10.1007/BF00864702 Riahi, 2011, RCP 8.5–A scenario of comparatively high greenhouse gas emissions, Climatic Change, 109, 33, 10.1007/s10584-011-0149-y Sailor, 2004, A top–down methodology for developing diurnal and seasonal anthropogenic heating profiles for urban areas, Atmospheric Environment, 38, 2737, 10.1016/j.atmosenv.2004.01.034 Santamouris, 2014, On the energy impact of urban heat island and global warming on buildings, Energy and Buildings, 82, 100, 10.1016/j.enbuild.2014.07.022 Schoen, 2017, Cost, energy, global warming, eutrophication and local human health impacts of community water and sanitation service options, Water Research, 109, 186, 10.1016/j.watres.2016.11.044 Shen, 2017, Discovering spatial and temporal patterns from taxi-based floating car data: A case study from nanjing, GIScience and Remote Sensing, 54, 617, 10.1080/15481603.2017.1309092 Smith, 2009, Estimating spatial and temporal patterns of urban anthropogenic heat fluxes for UK cities: The case of manchester, Theoretical and Applied Climatology, 98, 19, 10.1007/s00704-008-0086-5 Song, 2017, Air pollution in China: Status and spatiotemporal variations, Environment and Pollution, 227, 334, 10.1016/j.envpol.2017.04.075 Sun, 2017, Effects of green space dynamics on urban heat islands: Mitigation and diversification, Ecosystem Services, 23, 38, 10.1016/j.ecoser.2016.11.011 Tian, 2014, Analysis of greenhouse gas emissions of freight transport sector in China, Journal of Transport Geography, 40, 43, 10.1016/j.jtrangeo.2014.05.003 Tu, 2019, Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing, Applied Energy, 250, 147, 10.1016/j.apenergy.2019.04.157 Ula, 1991, Global warming and electric power generation: What is the connection?, IEEE Transactions on Energy Conversion, 6, 599, 10.1109/60.103631 Wang, 2011, Built environment diversities and activity–travel behaviour variations in Beijing, China, Journal of Transport Geography, 19, 1173, 10.1016/j.jtrangeo.2011.03.008 Wang, 2001, A spatio-temporal data model for activity-based transport demand modelling, International Journal of Geographical Information Science, 15, 561, 10.1080/13658810110046934 Wang, 2016, Assessing the spatiotemporal characteristics of anthropogenic heat in Beijing, China Environmental Science, 7, 8 Wang, 2019, A partition modeling for anthropogenic heat flux mapping in China, Remote Sensing, 11, 1132, 10.3390/rs11091132 Wang, 2020, Mapping China's time-series anthropogenic heat flux with inventory method and multi-source remotely sensed data, Science of the Total Environment, 734, 10.1016/j.scitotenv.2020.139457 Wang, 2022, Global mapping of surface 500-m anthropogenic heat flux supported by multi-source data, Urban Climate, 43, 10.1016/j.uclim.2022.101175 Wang, 2015, Urbanization-induced regional warming in yangtze river delta: Potential role of anthropogenic heat release, International Journal of Climatology, 35, 4417, 10.1002/joc.4296 Wong, 2015, Modeling of anthropogenic heat flux using HJ-1B Chinese small satellite image: A study of heterogeneous urbanized areas in Hong Kong, IEEE Geoscience and Remote Sensing Letters, 12, 1466, 10.1109/LGRS.2015.2409111 Yang, 2017, A new global anthropogenic heat estimation based on high-resolution nighttime light data, Scientific Data, 4, 10.1038/sdata.2017.116 Yu, 2014, Sensitivity of predicted pollutant levels to anthropogenic heat emissions in Beijing, Atmospheric Environment, 89, 169, 10.1016/j.atmosenv.2014.01.034 Yu, 2021, Estimation of anthropogenic heat flux and its coupling analysis with urban building characteristics – a case study of typical cities in the Yangtze River Delta, China, Science of the Total Environment, 774, 10.1016/j.scitotenv.2021.145805 Zhang, 2016, Numerical simulations on influence of urban land cover expansion and anthropogenic heat release on urban meteorological environment in Pearl River Delta, Theoretical and Applied Climatology, 126, 469, 10.1007/s00704-015-1601-0 Zhou, 2012, Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use, ISPRS Journal of Photogrammetry and Remote Sensing, 67, 65, 10.1016/j.isprsjprs.2011.10.007