{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T20:12:10Z","timestamp":1783455130427,"version":"3.55.0"},"reference-count":55,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T00:00:00Z","timestamp":1729209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Open Fund of the Key Laboratory of Urban Land Resources Monitoring and Simulation","award":["KF-2022-07-002"],"award-info":[{"award-number":["KF-2022-07-002"]}]},{"name":"Open Fund of the Key Laboratory of Urban Land Resources Monitoring and Simulation","award":["32471645"],"award-info":[{"award-number":["32471645"]}]},{"name":"Open Fund of the Key Laboratory of Urban Land Resources Monitoring and Simulation","award":["42201123"],"award-info":[{"award-number":["42201123"]}]},{"name":"Open Fund of the Key Laboratory of Urban Land Resources Monitoring and Simulation","award":["LSKF202308"],"award-info":[{"award-number":["LSKF202308"]}]},{"name":"National Natural Science Foundation of China","award":["KF-2022-07-002"],"award-info":[{"award-number":["KF-2022-07-002"]}]},{"name":"National Natural Science Foundation of China","award":["32471645"],"award-info":[{"award-number":["32471645"]}]},{"name":"National Natural Science Foundation of China","award":["42201123"],"award-info":[{"award-number":["42201123"]}]},{"name":"National Natural Science Foundation of China","award":["LSKF202308"],"award-info":[{"award-number":["LSKF202308"]}]},{"name":"Ministry of Natural Resources","award":["KF-2022-07-002"],"award-info":[{"award-number":["KF-2022-07-002"]}]},{"name":"Ministry of Natural Resources","award":["32471645"],"award-info":[{"award-number":["32471645"]}]},{"name":"Ministry of Natural Resources","award":["42201123"],"award-info":[{"award-number":["42201123"]}]},{"name":"Ministry of Natural Resources","award":["LSKF202308"],"award-info":[{"award-number":["LSKF202308"]}]},{"name":"Opening Fund of the State Key Laboratory of Green Building in Western China","award":["KF-2022-07-002"],"award-info":[{"award-number":["KF-2022-07-002"]}]},{"name":"Opening Fund of the State Key Laboratory of Green Building in Western China","award":["32471645"],"award-info":[{"award-number":["32471645"]}]},{"name":"Opening Fund of the State Key Laboratory of Green Building in Western China","award":["42201123"],"award-info":[{"award-number":["42201123"]}]},{"name":"Opening Fund of the State Key Laboratory of Green Building in Western China","award":["LSKF202308"],"award-info":[{"award-number":["LSKF202308"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Cities are facing increased heat-related health risks (HHRs) due to the combined effects of global warming and rapid urbanization. However, few studies have focused on HHR assessment based on fine-scale information. Moreover, most studies only analyze spatial HHR patterns and do not explore the potential driving factors. In this study, we estimated the potential HHRs based on the \u201chazard\u2013exposure\u2013vulnerability\u201d framework by using multisource data, including the modified thermal\u2013humidity index (MTHI), population density, and land cover. Then, the variations in the HHRs among different local climate zones (LCZs) at the fine spatial scale were analyzed in detail. Finally, we compared the different contributions of the LCZs and types of land cover to the HHRs and their three components by using multiple linear regression models. The results indicate that the spatial pattern of the HHRs was different from those of the individual components, and high-hazard regions do not mean high HHRs. There were huge variations in the HHRs among the different LCZs. The built-up LCZs typically had much higher HHRs than the natural ones, with compact LCZs facing the most severe risk. LCZ 6 (open low-rise buildings) had a relatively low HHR and should be paid more attention in future urban planning. Compared to the LCZs, the land covers better explained the variations in the HHR. In contrast, the LCZs better predicted the land surface temperatures. However, both the LCZs and land covers made only slight contributions to the heat exposure and vulnerability. Furthermore, the manmade buildings and impervious surface areas contributed much more to the HHR than the natural land covers. Therefore, the arrangement of the warming LCZs and land cover types is worthy of further investigation from the perspective of HHR mitigation.<\/jats:p>","DOI":"10.3390\/ijgi13100367","type":"journal-article","created":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T06:46:52Z","timestamp":1729234012000},"page":"367","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Assessment of Fine-Scale Urban Heat Health Risk and Its Potential Driving Factors Based on Local Climate Zones in Shenzhen, China"],"prefix":"10.3390","volume":"13","author":[{"given":"Riguga","family":"Su","sequence":"first","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518040, China"},{"name":"College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0477-5845","authenticated-orcid":false,"given":"Chaobin","family":"Yang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518040, China"},{"name":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China"},{"name":"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"State Key Laboratory of Green Building in Western China, Xi\u2019an University of Architecture & Technology, Xi\u2019an 710055, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhibo","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518040, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tingwen","family":"Luo","sequence":"additional","affiliation":[{"name":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518040, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1471-8965","authenticated-orcid":false,"given":"Lilong","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,18]]},"reference":[{"key":"ref_1","unstructured":"Allan, R.P., Arias, P.A., Berger, S., Canadell, J.G., Cassou, C., Chen, D., Cherchi, A., Connors, S.L., Coppola, E., and Cruz, F.A. (2023). Intergovernmental Panel on Climate Change (IPCC). Summary for Policymakers. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"102671","DOI":"10.1016\/j.ijdrr.2021.102671","article-title":"Heatwave fatalities in Australia, 2001\u20132018: An analysis of coronial records","volume":"67","author":"Coates","year":"2022","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"L04702","DOI":"10.1029\/2011GL050422","article-title":"Reconciling two approaches to attribution of the 2010 Russian heat wave","volume":"39","author":"Otto","year":"2012","journal-title":"Geophys. Res. Lett."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"103761","DOI":"10.1016\/j.envsci.2024.103761","article-title":"Exploring heat risk adaptation governance: A case study of the UK","volume":"157","author":"Ravishankar","year":"2024","journal-title":"Environ. Sci. Policy"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"159300","DOI":"10.1016\/j.scitotenv.2022.159300","article-title":"The extreme heat wave of July\u2013August 2021 in the Athens urban area (Greece): Atmospheric and human-biometeorological analysis exploiting ultra-high resolution numerical modeling and the local climate zone framework","volume":"857","author":"Giannaros","year":"2023","journal-title":"Sci. Total Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.uclim.2017.02.004","article-title":"The increasing trend of the urban heat island intensity","volume":"24","author":"Levermore","year":"2018","journal-title":"Urban Clim."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"e013231","DOI":"10.1136\/bmjgh-2023-013231","article-title":"The 2022 Summer record-breaking heatwave and health information-seeking behaviours: An infodemiology study in Mainland China","volume":"8","author":"Li","year":"2023","journal-title":"BMJ Glob. Health"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.isprsjprs.2021.11.017","article-title":"Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data","volume":"183","author":"Si","year":"2022","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"eadj7398","DOI":"10.1126\/sciadv.adj7398","article-title":"Persistent urban heat","volume":"10","author":"Li","year":"2023","journal-title":"Sci. Adv."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"112350","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":"ref_11","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":"ref_12","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1007\/s00484-009-0256-x","article-title":"The urban heat island and its impact on heat waves and human health in Shanghai","volume":"54","author":"Tan","year":"2010","journal-title":"Int. J. Biometeorol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"7220","DOI":"10.3390\/ijerph120707220","article-title":"The Construction and Validation of the Heat Vulnerability Index, a Review","volume":"12","author":"Bao","year":"2015","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.uclim.2018.05.003","article-title":"Modelling of radiation-based thermal stress indicators for urban numerical weather prediction","volume":"25","author":"Leroyer","year":"2018","journal-title":"Urban Clim."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.envres.2018.09.032","article-title":"Comparison of health risks by heat wave definition: Applicability of wet-bulb globe temperature for heat wave criteria","volume":"168","author":"Heo","year":"2019","journal-title":"Environ. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1186\/s12940-017-0322-5","article-title":"The health effects of hotter summers and heat waves in the population of the United Kingdom: A review of the evidence","volume":"16","author":"Arbuthnott","year":"2017","journal-title":"Environ. Health"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"105300","DOI":"10.1016\/j.scs.2024.105300","article-title":"Spatially explicit assessment of the heat-related health risk in the Yangtze River Delta, China, using multisource remote sensing and socioeconomic data","volume":"104","author":"Wu","year":"2024","journal-title":"Sustain. Cities Soc."},{"key":"ref_18","first-page":"102","article-title":"The risk triangle","volume":"Volume 102","author":"Crichton","year":"1999","journal-title":"Natural Disaster Management"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"103808","DOI":"10.1016\/j.scs.2022.103808","article-title":"Is dense or sprawl growth more prone to heat-related health risks? Spatial regression-based study in Delhi, India","volume":"81","author":"Pramanik","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"104402","DOI":"10.1016\/j.scs.2023.104402","article-title":"Investigating urban heat-related health risks based on local climate zones: A case study of Changzhou in China","volume":"91","author":"Ma","year":"2023","journal-title":"Sustain. Cities Soc."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1581","DOI":"10.1038\/s41467-020-15218-8","article-title":"Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators","volume":"11","author":"Estoque","year":"2020","journal-title":"Nat. Commun."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"103907","DOI":"10.1016\/j.landurbplan.2020.103907","article-title":"Heatwave-induced human health risk assessment in megacities based on heat stress-social vulnerability-human exposure framework","volume":"203","author":"Dong","year":"2020","journal-title":"Landsc. Urban Plan."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"4294","DOI":"10.1016\/j.rinp.2017.10.056","article-title":"Urban heat wave hazard and risk assessment","volume":"7","author":"Jedlovec","year":"2017","journal-title":"Results Phys."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"101404","DOI":"10.1016\/j.uclim.2022.101404","article-title":"Impact of refined 2D\/3D urban morphology on hourly air temperature across different spatial scales in a snow climate city","volume":"47","author":"Yang","year":"2023","journal-title":"Urban Clim."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/S1001-0742(08)60019-4","article-title":"A review on the generation, determination and mitigation of Urban Heat Island","volume":"20","author":"Rizwan","year":"2008","journal-title":"J. Environ. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"3004","DOI":"10.1016\/j.matpr.2020.03.272","article-title":"Review of methods for retrieving urban heat islands","volume":"27","author":"Bahi","year":"2020","journal-title":"Mater. Today Proc."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.rse.2012.12.008","article-title":"Satellite-derived land surface temperature: Current status and perspectives","volume":"131","author":"Li","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"137175","DOI":"10.1016\/j.jclepro.2023.137175","article-title":"Identification of climate change impact and thermal comfort zones in semi-arid regions of AP, India using LST and NDBI techniques","volume":"407","author":"Anusha","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"100531","DOI":"10.1016\/j.uclim.2019.100531","article-title":"A review of outdoor thermal comfort indices and neutral ranges for hot-humid regions","volume":"31","author":"Binarti","year":"2020","journal-title":"Urban Clim."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"105798","DOI":"10.1016\/j.ecolind.2019.105798","article-title":"The seasonal and annual impacts of landscape patterns on the urban thermal comfort using Landsat","volume":"110","author":"Feng","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"101748","DOI":"10.1016\/j.uclim.2023.101748","article-title":"Key areas and measures to mitigate heat exposure risk in highly urbanized city: A case study of Beijing, China","volume":"53","author":"Jiang","year":"2024","journal-title":"Urban Clim."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"107176","DOI":"10.1016\/j.eiar.2023.107176","article-title":"Health-integrated heat risk assessment in Australian cities","volume":"102","author":"Wang","year":"2023","journal-title":"Environ. Impact Assess. Rev."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.envint.2017.09.011","article-title":"The Heat Exposure Integrated Deprivation Index (HEIDI): A data-driven approach to quantifying neighborhood risk during extreme hot weather","volume":"109","author":"Krstic","year":"2017","journal-title":"Environ. Int."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.enbuild.2019.05.059","article-title":"Effects of thermal environment on elderly in urban and rural houses during heating season in a severe cold region of China","volume":"198","author":"Zhang","year":"2019","journal-title":"Energy Build."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.buildenv.2019.04.012","article-title":"Perceptual and physiological responses of elderly subjects to moderate temperatures","volume":"156","author":"Xiong","year":"2019","journal-title":"Build. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"104798","DOI":"10.1016\/j.cities.2024.104798","article-title":"The impact of age on people\u2019s use and perception of urban green spaces and their effect on personal health and wellbeing during the COVID-19 pandemic\u2014A case study of the metropolitan area of Vienna, Austria","volume":"147","author":"Taczanowska","year":"2024","journal-title":"Cities"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1038\/s43017-020-00129-5","article-title":"Greenery as a mitigation and adaptation strategy to urban heat","volume":"2","author":"Wong","year":"2021","journal-title":"Nat. Rev. Earth Environ."},{"key":"ref_38","first-page":"100588","article-title":"Urban heat mitigation by green and blue infrastructure: Drivers, effectiveness, and future needs","volume":"5","author":"Kumar","year":"2024","journal-title":"Innov."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"105013","DOI":"10.1016\/j.landurbplan.2024.105013","article-title":"Assessing public attitudes towards urban green spaces as a heat adaptation strategy: Insights from Germany","volume":"245","author":"Zanocco","year":"2024","journal-title":"Landsc. Urban Plan."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"130744","DOI":"10.1016\/j.jclepro.2022.130744","article-title":"Exploring thermal comfort of urban buildings based on local climate zones","volume":"340","author":"Ren","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"111771","DOI":"10.1016\/j.enbuild.2021.111771","article-title":"Application of machine learning in thermal comfort studies: A review of methods, performance and challenges","volume":"256","author":"Zomorodian","year":"2022","journal-title":"Energy Build."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"111847","DOI":"10.1016\/j.ecolind.2024.111847","article-title":"Understanding fine-scale heat health risks and the role of green infrastructure based on remote sensing and socioeconomic data in the megacity of Beijing, China","volume":"160","author":"Zha","year":"2024","journal-title":"Ecol. Indic."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1879","DOI":"10.1175\/BAMS-D-11-00019.1","article-title":"Local Climate Zones for Urban Temperature Studies","volume":"93","author":"Stewart","year":"2012","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"111040","DOI":"10.1016\/j.buildenv.2023.111040","article-title":"Heat risk assessment and response to green infrastructure based on local climate zones","volume":"248","author":"Xiang","year":"2024","journal-title":"Build. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"110770","DOI":"10.1016\/j.buildenv.2023.110770","article-title":"Assessing the urban heat island effect of different local climate zones in Guangzhou, China","volume":"244","author":"Chen","year":"2023","journal-title":"Build. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1907","DOI":"10.1175\/BAMS-D-16-0236.1","article-title":"WUDAPT: An urban weather, climate, and environmental modeling infrastructure for the anthropocene","volume":"99","author":"Ching","year":"2018","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"4749","DOI":"10.5194\/essd-15-4749-2023","article-title":"SinoLC-1: The first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data","volume":"15","author":"Li","year":"2023","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"128956","DOI":"10.1016\/j.jclepro.2021.128956","article-title":"Assessing the effects of 2D\/3D urban morphology on the 3D urban thermal environment by using multi-source remote sensing data and UAV measurements: A case study of the snow-climate city of Changchun, China","volume":"321","author":"Yang","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Yang, C., He, X., Wang, R., Yan, F., Yu, L., Bu, K., Yang, J., Chang, L., and Zhang, S. (2017). The Effect of Urban Green Spaces on the Urban Thermal Environment and Its Seasonal Variations. Forests, 8.","DOI":"10.3390\/f8050153"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"109728","DOI":"10.1016\/j.isci.2024.109728","article-title":"Shared insights for heat health risk adaptation in metropolitan areas of developing countries","volume":"27","author":"Yu","year":"2024","journal-title":"iScience"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"100983","DOI":"10.1016\/j.uclim.2021.100983","article-title":"Assessing current and future heat risk in Dublin city, Ireland","volume":"40","author":"Paranunzio","year":"2021","journal-title":"Urban Clim."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1498","DOI":"10.1021\/acs.est.6b04355","article-title":"Spatially Explicit Mapping of Heat Health Risk Utilizing Environmental and Socioeconomic Data","volume":"51","author":"Hu","year":"2017","journal-title":"Environ. Sci. Technol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"104103","DOI":"10.1016\/j.cities.2022.104103","article-title":"Urban heat health risk assessment in Singapore to support resilient urban design\u2014By integrating urban heat and the distribution of the elderly population","volume":"132","author":"Zhu","year":"2023","journal-title":"Cities"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"e61","DOI":"10.1016\/S2542-5196(23)00254-1","article-title":"Towards a more integrated research framework for heat-related health risks and adaptation","volume":"8","author":"Muccione","year":"2024","journal-title":"Lancet Planet. Health"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"101617","DOI":"10.1016\/j.uclim.2023.101617","article-title":"Heat vulnerability and street-level outdoor thermal comfort in the city of Houston: Application of google street view image derived SVFs","volume":"51","author":"Kim","year":"2023","journal-title":"Urban Clim."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/13\/10\/367\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:15:59Z","timestamp":1760112959000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/13\/10\/367"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,18]]},"references-count":55,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["ijgi13100367"],"URL":"https:\/\/doi.org\/10.3390\/ijgi13100367","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,18]]}}}