{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T02:40:16Z","timestamp":1792723216869,"version":"4.5.0"},"reference-count":68,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Environmental Management"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.jenvman.2026.130541","type":"journal-article","created":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T04:05:41Z","timestamp":1784693141000},"page":"130541","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Exploring the built environment impacts on urban heat exposure: An autoencoder-based approach for integrating multiple indicators"],"prefix":"10.1016","volume":"414","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8354-2871","authenticated-orcid":false,"given":"Lin","family":"Shen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qianqian","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenzhong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuo","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jenvman.2026.130541_bib1","article-title":"Constrained estimates of 2015\u20132030 total number of people per grid square at a resolution of 3 arc (approximately 100 m at the equator)","author":"Bondarenko","year":"2025","journal-title":"WorldPop Data, R2025A v1"},{"issue":"6","key":"10.1016\/j.jenvman.2026.130541_bib2","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1016\/j.oneear.2023.05.016","article-title":"Residential segregation and outdoor urban moist heat stress disparities in the United States","volume":"6","author":"Chakraborty","year":"2023","journal-title":"One Earth"},{"issue":"1","key":"10.1016\/j.jenvman.2026.130541_bib3","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1007\/s10584-020-02884-2","article-title":"Global and cross-country analysis of exposure of vulnerable populations to heatwaves from 1980 to 2018","volume":"163","author":"Chambers","year":"2020","journal-title":"Clim. Change"},{"key":"10.1016\/j.jenvman.2026.130541_bib4","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.landurbplan.2014.02.019","article-title":"How factors of land use\/land cover, building configuration, and adjacent heat sources and sinks explain Urban heat Islands in Chicago","volume":"125","author":"Coseo","year":"2014","journal-title":"Landsc. Urban Plann."},{"key":"10.1016\/j.jenvman.2026.130541_bib5","article-title":"Public responses to heatwaves in Chinese cities: a social media-based geospatial modelling approach","volume":"134","author":"Dou","year":"2024","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"issue":"10301","key":"10.1016\/j.jenvman.2026.130541_bib7","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1016\/S0140-6736(21)01208-3","article-title":"Hot weather and heat extremes: health risks","volume":"398","author":"Ebi","year":"2021","journal-title":"Lancet"},{"key":"10.1016\/j.jenvman.2026.130541_bib8","doi-asserted-by":"crossref","DOI":"10.1016\/j.uclim.2020.100676","article-title":"The heat-health nexus in the urban context: a systematic literature review exploring the socio-economic vulnerabilities and built environment characteristics","volume":"34","author":"Ellena","year":"2020","journal-title":"Urban Clim."},{"key":"10.1016\/j.jenvman.2026.130541_bib10","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.eja.2019.03.001","article-title":"New approach to determining the surface temperature without thermal band of satellites","volume":"106","author":"Filgueiras","year":"2019","journal-title":"Eur. J. Agron."},{"key":"10.1016\/j.jenvman.2026.130541_bib11","doi-asserted-by":"crossref","DOI":"10.1016\/j.cities.2025.106345","article-title":"Lively Guangzhou: deciphering the divergent intra-urban vibrancy across historic districts and CBD using interpretable machine learning","volume":"167","author":"Gao","year":"2025","journal-title":"Cities"},{"issue":"21","key":"10.1016\/j.jenvman.2026.130541_bib12","doi-asserted-by":"crossref","DOI":"10.3390\/rs13214256","article-title":"A remote sensing approach for surface urban heat Island modeling in a tropical Colombian City using regression analysis and machine learning algorithms","volume":"13","author":"Garz\u00f3n","year":"2021","journal-title":"Remote Sens."},{"issue":"3","key":"10.1016\/j.jenvman.2026.130541_bib13","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.oneear.2023.02.008","article-title":"Social media data for environmental sustainability: a critical review of opportunities, threats, and ethical use","volume":"6","author":"Ghermandi","year":"2023","journal-title":"One Earth"},{"key":"10.1016\/j.jenvman.2026.130541_bib14","doi-asserted-by":"crossref","DOI":"10.1016\/j.buildenv.2021.108354","article-title":"3D building configuration as the driver of diurnal and nocturnal land surface temperatures: application in Beijing's old city","volume":"206","author":"Guo","year":"2021","journal-title":"Build. Environ."},{"key":"10.1016\/j.jenvman.2026.130541_bib15","article-title":"Quantifying heat-related risks from urban heat island effects: a global urban expansion perspective","volume":"136","author":"Hao","year":"2025","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.jenvman.2026.130541_bib16","doi-asserted-by":"crossref","DOI":"10.1016\/j.envres.2021.111173","article-title":"The driving influences of human perception to extreme heat: a scoping review","volume":"197","author":"Hass","year":"2021","journal-title":"Environ. Res."},{"key":"10.1016\/j.jenvman.2026.130541_bib17","doi-asserted-by":"crossref","DOI":"10.1016\/j.rser.2022.112350","article-title":"Beating the urban heat: situation, background, impacts and the way forward in China","volume":"161","author":"He","year":"2022","journal-title":"Renew. Sustain. Energy Rev."},{"key":"10.1016\/j.jenvman.2026.130541_bib18","article-title":"HP-BERT: social media\u2013based insights into differential impacts of urban environmental factors on objective and subjective heat exposure","author":"He","year":"2025","journal-title":"Build. Environ."},{"key":"10.1016\/j.jenvman.2026.130541_bib19","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"Hinton","year":"2006","journal-title":"Science"},{"issue":"8045","key":"10.1016\/j.jenvman.2026.130541_bib20","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1038\/s41586-024-08328-6","article-title":"Accurate predictions on small data with a tabular foundation model","volume":"637","author":"Hollmann","year":"2025","journal-title":"Nature"},{"issue":"1","key":"10.1016\/j.jenvman.2026.130541_bib21","doi-asserted-by":"crossref","first-page":"2721","DOI":"10.1038\/s41467-021-22799-5","article-title":"Disproportionate exposure to urban heat island intensity across major US cities","volume":"12","author":"Hsu","year":"2021","journal-title":"Nat. Commun."},{"key":"10.1016\/j.jenvman.2026.130541_bib22","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.cities.2017.03.003","article-title":"Spatial or socioeconomic inequality? Job accessibility changes for low- and high-education population in Beijing, China","volume":"66","author":"Hu","year":"2017","journal-title":"Cities"},{"key":"10.1016\/j.jenvman.2026.130541_bib23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.scitotenv.2018.11.028","article-title":"Assessment of heat exposure in cities: combining the dynamics of temperature and population","volume":"655","author":"Hu","year":"2019","journal-title":"Sci. Total Environ."},{"issue":"3","key":"10.1016\/j.jenvman.2026.130541_bib24","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1007\/s00484-011-0513-7","article-title":"UTCI--why another thermal index?","volume":"56","author":"Jendritzky","year":"2012","journal-title":"Int. J. Biometeorol."},{"key":"10.1016\/j.jenvman.2026.130541_bib25","doi-asserted-by":"crossref","DOI":"10.1016\/j.uclim.2023.101559","article-title":"A review of thermal perception and adaptation strategies across global climate zones","volume":"49","author":"Li","year":"2023","journal-title":"Urban Clim."},{"key":"10.1016\/j.jenvman.2026.130541_bib26","doi-asserted-by":"crossref","DOI":"10.1016\/j.envint.2025.109915","article-title":"Knowledge-informed deep learning to mitigate bias in joint air pollutant prediction","volume":"206","author":"Li","year":"2025","journal-title":"Environ. Int."},{"key":"10.1016\/j.jenvman.2026.130541_bib27","doi-asserted-by":"crossref","DOI":"10.1016\/j.scs.2020.102425","article-title":"Socioeconomic drivers of urban heat island effect: empirical evidence from major Chinese cities","volume":"63","author":"Li","year":"2020","journal-title":"Sustain. Cities Soc."},{"issue":"1","key":"10.1016\/j.jenvman.2026.130541_bib28","doi-asserted-by":"crossref","first-page":"7108","DOI":"10.1038\/s41467-024-51355-0","article-title":"Green spaces provide substantial but unequal urban cooling globally","volume":"15","author":"Li","year":"2024","journal-title":"Nat. Commun."},{"key":"10.1016\/j.jenvman.2026.130541_bib30","doi-asserted-by":"crossref","DOI":"10.1016\/j.buildenv.2025.112574","article-title":"Unveiling differential impacts of multidimensional urban morphology on heat island effect across local climate zones: interpretable CatBoost-SHAP machine learning model","volume":"270","author":"Liu","year":"2025","journal-title":"Build. Environ."},{"key":"10.1016\/j.jenvman.2026.130541_bib29","doi-asserted-by":"crossref","DOI":"10.1016\/j.scs.2025.106657","article-title":"Reassessing urban heat exposure inequity: bridging subjective perception and objective conditions for a more accurate understanding","volume":"130","author":"Liu","year":"2025","journal-title":"Sustain. Cities Soc."},{"key":"10.1016\/j.jenvman.2026.130541_bib31","series-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems, Long Beach, California, USA","article-title":"A unified approach to interpreting model predictions","author":"Lundberg","year":"2017"},{"issue":"7","key":"10.1016\/j.jenvman.2026.130541_bib32","doi-asserted-by":"crossref","first-page":"1291","DOI":"10.1080\/13658816.2024.2343063","article-title":"Mapping dynamic human sentiments of heat exposure with location-based social media data","volume":"38","author":"Lyu","year":"2024","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"10.1016\/j.jenvman.2026.130541_bib33","doi-asserted-by":"crossref","DOI":"10.1016\/j.uclim.2024.102138","article-title":"Integrating thermal perception and public space use \u2013 an experimental outdoor comfort study in cold winter-hot summer zone: beijing, China","volume":"58","author":"Ma","year":"2024","journal-title":"Urban Clim."},{"issue":"5","key":"10.1016\/j.jenvman.2026.130541_bib34","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1007\/s11116-009-9214-z","article-title":"A traffic analysis zone definition: a new methodology and algorithm","volume":"36","author":"Mart\u00ednez","year":"2009","journal-title":"Transportation"},{"key":"10.1016\/j.jenvman.2026.130541_bib35","article-title":"ERA5-Land hourly data from 1950 to present","author":"Mu\u00f1oz Sabater","year":"2019","journal-title":"Copernicus Climate Change Service (C3S) Climate Data Store (CDS)"},{"issue":"1","key":"10.1016\/j.jenvman.2026.130541_bib36","doi-asserted-by":"crossref","DOI":"10.1038\/s42949-024-00152-1","article-title":"Diversified evolutionary patterns of surface urban heat island in new expansion areas of 31 Chinese cities","volume":"4","author":"Peng","year":"2024","journal-title":"npj Urban Sustainability"},{"issue":"1","key":"10.1016\/j.jenvman.2026.130541_bib37","article-title":"Anthropogenic climate change drives rising global heat stress and its spatial inequality","volume":"17","author":"Peng","year":"2026","journal-title":"Nat. Commun."},{"issue":"1","key":"10.1016\/j.jenvman.2026.130541_bib38","doi-asserted-by":"crossref","first-page":"3357","DOI":"10.1038\/s41467-020-16970-7","article-title":"Increasing trends in regional heatwaves","volume":"11","author":"Perkins-Kirkpatrick","year":"2020","journal-title":"Nat. Commun."},{"key":"10.1016\/j.jenvman.2026.130541_bib39","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecolind.2024.112124","article-title":"Exploring the disparities in urban park accessibility from multiple demand perspectives: a case study in Beijing, China","volume":"163","author":"Qin","year":"2024","journal-title":"Ecol. Indic."},{"issue":"11","key":"10.1016\/j.jenvman.2026.130541_bib40","doi-asserted-by":"crossref","first-page":"1730","DOI":"10.1289\/ehp.0900683","article-title":"Mapping community determinants of heat vulnerability","volume":"117","author":"Reid","year":"2009","journal-title":"Environ. Health Perspect."},{"key":"10.1016\/j.jenvman.2026.130541_bib41","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.rse.2018.03.017","article-title":"NASA's black Marble nighttime lights product suite","volume":"210","author":"Rom\u00e1n","year":"2018","journal-title":"Rem. Sens. Environ."},{"issue":"4","key":"10.1016\/j.jenvman.2026.130541_bib42","doi-asserted-by":"crossref","DOI":"10.1088\/1748-9326\/aab214","article-title":"Temporal trends in human vulnerability to excessive heat","volume":"13","author":"Sheridan","year":"2018","journal-title":"Environ. Res. Lett."},{"issue":"3","key":"10.1016\/j.jenvman.2026.130541_bib43","doi-asserted-by":"crossref","DOI":"10.1088\/1748-9326\/adb509","article-title":"Social inequalities in exposure to heat stress and related adaptive capacity: a systematic review","volume":"20","author":"Slesinski","year":"2025","journal-title":"Environ. Res. Lett."},{"issue":"4","key":"10.1016\/j.jenvman.2026.130541_bib44","doi-asserted-by":"crossref","DOI":"10.3390\/rs12040652","article-title":"Transformative urban changes of Beijing in the decade of the 2000s","volume":"12","author":"Sorichetta","year":"2020","journal-title":"Remote Sens."},{"key":"10.1016\/j.jenvman.2026.130541_bib45","doi-asserted-by":"crossref","DOI":"10.1016\/j.uclim.2022.101331","article-title":"Urban heat in Johannesburg and Ekurhuleni, South Africa: a meter-scale assessment and vulnerability analysis","volume":"46","author":"Souverijns","year":"2022","journal-title":"Urban Clim."},{"key":"10.1016\/j.jenvman.2026.130541_bib46","doi-asserted-by":"crossref","DOI":"10.1016\/j.jenvman.2023.119576","article-title":"Heat exposure assessment based on high-resolution spatio-temporal data of population dynamics and temperature variations","volume":"349","author":"Sun","year":"2024","journal-title":"J. Environ. Manag."},{"key":"10.1016\/j.jenvman.2026.130541_bib47","doi-asserted-by":"crossref","DOI":"10.1016\/j.apgeog.2024.103474","article-title":"Spatial inequalities in global population exposure to extreme heats and heatwaves","volume":"174","author":"Tian","year":"2025","journal-title":"Appl. Geogr."},{"key":"10.1016\/j.jenvman.2026.130541_bib48","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.isprsjprs.2017.01.001","article-title":"Characterizing the relationship between land use land cover change and land surface temperature","volume":"124","author":"Tran","year":"2017","journal-title":"ISPRS J. Photogrammetry Remote Sens."},{"key":"10.1016\/j.jenvman.2026.130541_bib49","doi-asserted-by":"crossref","DOI":"10.1016\/j.uclim.2025.102716","article-title":"Development and validation of the Global Urban Heat Vulnerability Index (GUHVI)","volume":"64","author":"Turner","year":"2025","journal-title":"Urban Clim."},{"key":"10.1016\/j.jenvman.2026.130541_bib50","first-page":"3371","article-title":"Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"Vincent","year":"2010","journal-title":"J. Mach. Learn. Res."},{"issue":"11","key":"10.1016\/j.jenvman.2026.130541_bib51","doi-asserted-by":"crossref","first-page":"5003","DOI":"10.1021\/acs.est.3c05784","article-title":"Using knowledge-guided machine learning to assess patterns of areal change in waterbodies across the contiguous United States","volume":"58","author":"Wander","year":"2024","journal-title":"Environ. Sci. Technol."},{"key":"10.1016\/j.jenvman.2026.130541_bib52","doi-asserted-by":"crossref","DOI":"10.1016\/j.landurbplan.2023.104750","article-title":"Comparing relationships between urban heat exposure, ecological structure, and socio-economic patterns in Beijing and New York City","volume":"235","author":"Wang","year":"2023","journal-title":"Landsc. Urban Plann."},{"key":"10.1016\/j.jenvman.2026.130541_bib53","doi-asserted-by":"crossref","DOI":"10.1016\/j.envint.2021.106742","article-title":"The relationship between population heat vulnerability and urbanization levels: a county-level modeling study across China","volume":"156","author":"Wang","year":"2021","journal-title":"Environ. Int."},{"key":"10.1016\/j.jenvman.2026.130541_bib54","doi-asserted-by":"crossref","DOI":"10.1016\/j.landusepol.2022.106162","article-title":"Investigating the spatiotemporal pattern of urban vibrancy and its determinants: spatial big data analyses in Beijing, China","volume":"119","author":"Wang","year":"2022","journal-title":"Land Use Policy"},{"issue":"4","key":"10.1016\/j.jenvman.2026.130541_bib55","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3514228","article-title":"Integrating scientific knowledge with machine learning for engineering and environmental systems","volume":"55","author":"Willard","year":"2022","journal-title":"ACM Comput. Surv."},{"key":"10.1016\/j.jenvman.2026.130541_bib56","doi-asserted-by":"crossref","DOI":"10.1016\/j.landurbplan.2023.104701","article-title":"Observed inequality in thermal comfort exposure and its multifaceted associations with greenspace in United States cities","volume":"233","author":"Wu","year":"2023","journal-title":"Landsc. Urban Plann."},{"key":"10.1016\/j.jenvman.2026.130541_bib57","doi-asserted-by":"crossref","DOI":"10.1016\/j.scs.2024.106115","article-title":"Identifying publicly perceived high temperature thresholds across Chinese cities using geotagged social media data","volume":"119","author":"Xu","year":"2025","journal-title":"Sustain. Cities Soc."},{"key":"10.1016\/j.jenvman.2026.130541_bib58","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.envint.2016.02.007","article-title":"Impact of heatwave on mortality under different heatwave definitions: a systematic review and meta-analysis","volume":"89\u201390","author":"Xu","year":"2016","journal-title":"Environ. Int."},{"key":"10.1016\/j.jenvman.2026.130541_bib59","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2020.123767","article-title":"Optimizing local climate zones to mitigate urban heat island effect in human settlements","volume":"275","author":"Yang","year":"2020","journal-title":"J. Clean. Prod."},{"key":"10.1016\/j.jenvman.2026.130541_bib60","doi-asserted-by":"crossref","DOI":"10.1016\/j.scs.2025.106501","article-title":"Green and blue infrastructure for urban cooling: Multi-scale mechanisms, spatial optimization, and methodological integration","volume":"129","author":"Yang","year":"2025","journal-title":"Sustain. Cities Soc."},{"key":"10.1016\/j.jenvman.2026.130541_bib61","article-title":"Integrating multiple semantics data to assess the dynamic change of urban green space in Beijing, China","volume":"103","author":"Yang","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.jenvman.2026.130541_bib62","doi-asserted-by":"crossref","DOI":"10.1016\/j.scs.2024.106102","article-title":"Towards multi-scale and context-specific heat health risk assessment - a systematic review","volume":"119","author":"Ye","year":"2025","journal-title":"Sustain. Cities Soc."},{"issue":"9","key":"10.1016\/j.jenvman.2026.130541_bib63","doi-asserted-by":"crossref","first-page":"3112","DOI":"10.1080\/09603123.2023.2297718","article-title":"Determinants of subjective outdoor thermal comfort in an urban historic and cultural heritage landscape in Xi'an, China","volume":"34","author":"Yu","year":"2024","journal-title":"Int. J. Environ. Health Res."},{"key":"10.1016\/j.jenvman.2026.130541_bib64","doi-asserted-by":"crossref","DOI":"10.1016\/j.jenvman.2021.113116","article-title":"Separate and combined effects of 3D building features and urban green space on land surface temperature","volume":"295","author":"Yuan","year":"2021","journal-title":"J. Environ. Manag."},{"key":"10.1016\/j.jenvman.2026.130541_bib65","doi-asserted-by":"crossref","DOI":"10.1016\/j.scs.2026.107330","article-title":"One city, two heats: an LLM-enabled comparative analysis of heat perception, thermal environment, and health pathways in Beijing, China","volume":"143","author":"Zhang","year":"2026","journal-title":"Sustain. Cities Soc."},{"key":"10.1016\/j.jenvman.2026.130541_bib66","doi-asserted-by":"crossref","DOI":"10.1016\/j.buildenv.2022.109900","article-title":"Physiological equivalent temperature-based and universal thermal climate index-based adaptive-rational outdoor thermal comfort models","volume":"228","author":"Zhang","year":"2023","journal-title":"Build. Environ."},{"issue":"1","key":"10.1016\/j.jenvman.2026.130541_bib67","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1038\/s41597-025-04730-5","article-title":"CMAB: a multi-attribute building dataset of China","volume":"12","author":"Zhang","year":"2025","journal-title":"Sci. Data"},{"issue":"7","key":"10.1016\/j.jenvman.2026.130541_bib68","doi-asserted-by":"crossref","first-page":"e415","DOI":"10.1016\/S2542-5196(21)00081-4","article-title":"Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study","volume":"5","author":"Zhao","year":"2021","journal-title":"Lancet Planet. Health"},{"key":"10.1016\/j.jenvman.2026.130541_bib69","doi-asserted-by":"crossref","DOI":"10.1016\/j.eiar.2025.108144","article-title":"Surface urban heat island disparities and the role of urban form across the urban-rural gradient","volume":"116","author":"Zhou","year":"2026","journal-title":"Environ. Impact Assess. Rev."},{"key":"10.1016\/j.jenvman.2026.130541_bib70","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.apgeog.2017.07.001","article-title":"Street as a big geo-data assembly and analysis unit in urban studies: a case study using Beijing taxi data","volume":"86","author":"Zhu","year":"2017","journal-title":"Appl. Geogr."}],"container-title":["Journal of Environmental Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0301479726020013?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0301479726020013?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T02:31:09Z","timestamp":1792722669000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0301479726020013"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":68,"alternative-id":["S0301479726020013"],"URL":"https:\/\/doi.org\/10.1016\/j.jenvman.2026.130541","relation":{},"ISSN":["0301-4797"],"issn-type":[{"value":"0301-4797","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Exploring the built environment impacts on urban heat exposure: An autoencoder-based approach for integrating multiple indicators","name":"articletitle","label":"Article Title"},{"value":"Journal of Environmental Management","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jenvman.2026.130541","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"130541"}}