Comparative assessment of heatwave vulnerability factors for the districts of Budapest, Hungary

Ács, 2021, Human thermal climate of the Carpathian Basin, Int. J. Climatol., 41, E1846, 10.1002/joc.6816 Aghamohammadi, 2022, Perceived impacts of Urban Heat Island phenomenon in a tropical metropolitan city: perspectives from stakeholder dialogue sessions, Sci. Total Environ., 806, 10.1016/j.scitotenv.2021.150331 Apreda, 2019, A climate vulnerability and impact assessment model for complex urban systems, Environ. Sci. Pol., 93, 11, 10.1016/j.envsci.2018.12.016 Bai, 2016, County-level heat vulnerability of urban and rural residents in Tibet, China, Environ. Heal. A Glob. Access Sci. Source, 15, 1 Bakhsh, 2018, Adaptation strategies for minimizing heat wave induced morbidity and its determinants, Sustain. Cities Soc., 41, 95, 10.1016/j.scs.2018.05.021 Bede-Fazekas, 2017, Vulnerability of natural landscapes to climate change – a case study of Hungary, Időjárás, 121, 393 Bhattacharjee, 2019, Assessment of different methodologies for mapping urban heat vulnerability for Milan, Italy, 290 Bibri, 2017, Smart sustainable cities of the future: an extensive interdisciplinary literature review, Sustain. Cities Soc., 31, 183, 10.1016/j.scs.2017.02.016 Biró, 2020, Corporate social responsibility in agribusiness: climate-related empirical findings from Hungary, Environ. Dev. Sustain. Bobvos, 2015, Assessment of heat-related mortality in Budapest from 2000 to 2010 by different indicators, Időjárás, 119, 143 Breuer, 2017, Climate change in Hungary during the twentieth century according to Feddema, Theor. Appl. Climatol., 127, 853, 10.1007/s00704-015-1670-0 Buzási, 2021, Climate vulnerability and adaptation challenges in Szekszárd wine region, Hungary, Climate, 9, paper 25, 10.3390/cli9020025 Buzási, 2021, Drought-related vulnerability and its policy implications in Hungary, Mitig. Adapt. Strateg. Glob. Chang., 26, 1, 10.1007/s11027-021-09943-8 Campbell, 2018, Heatwave and health impact research: a global review, Health Place, 53, 210, 10.1016/j.healthplace.2018.08.017 Cariolet, 2019, Mapping urban resilience to disasters – a review, Sustain. Cities Soc., 51, 10.1016/j.scs.2019.101746 Cheng, 2019, Impacts of heat, cold, and temperature variability on mortality in Australia, 2000–2009, Sci. Total Environ., 651, 2558, 10.1016/j.scitotenv.2018.10.186 Christenson, 2017, Heat vulnerability index mapping for milwaukee and Wisconsin, J. Public Heal. Manag. Pract., 23, 396, 10.1097/PHH.0000000000000352 Coll, 2010, Validation of Landsat-7/ETM+ thermal-band calibration and atmospheric correction with ground-based measurements, IEEE Trans. Geosci. Remote Sens., 48, 547, 10.1109/TGRS.2009.2024934 Conlon, 2020, Mapping human vulnerability to extreme heat: a critical assessment of heat vulnerability indices created using principal components analysis, Environ. Health Perspect., 128, 1, 10.1289/EHP4030 Crane, 2021, Transforming cities for sustainability: a health perspective, Environ. Int., 147, 10.1016/j.envint.2020.106366 Davidson, 2019, Reconfiguring urban governance in an age of rising city networks: a research agenda, Urban Stud., 56, 3540, 10.1177/0042098018816010 Dian, 2019, Analysis of the urban heat island intensity based on air temperature measurements in a renovated part of Budapest (Hungary), Geogr. Pannonica, 23, 277, 10.5937/gp23-23839 Dian, 2021, Analysis of heating and cooling periods in Budapest using station data, Időjárás, 125, 431, 10.28974/idojaras.2021.3.4 Diaz, 2017, Quantifying the economic risks of climate change, Nat. Clim. Chang., 7, 774, 10.1038/nclimate3411 Dong, 2020, Heatwave-induced human health risk assessment in megacities based on heat stress-social vulnerability-human exposure framework, Landsc. Urban Plan., 203, 10.1016/j.landurbplan.2020.103907 European Environment Agency, 2012 Farkas, 2017, Geographical analysis of climate vulnerability at a regional scale: the case of the southern great plain in Hungary, Hungarian Geogr. Bull., 66, 129, 10.15201/hungeobull.66.2.3 Foga, 2017, Cloud detection algorithm comparison and validation for operational Landsat data products, Remote Sens. Environ., 194, 379, 10.1016/j.rse.2017.03.026 Ford, 2018, Vulnerability and its discontents: the past, present, and future of climate change vulnerability research, Clim. Chang., 151, 189, 10.1007/s10584-018-2304-1 Formetta, 2019, Empirical evidence of declining global vulnerability to climate-related hazards, Glob. Environ. Chang., 57, 10.1016/j.gloenvcha.2019.05.004 Founda, 2017, Synergies between urban Heat Island and heat waves in Athens (Greece), during an extremely hot summer (2012), Sci. Rep., 7, 1, 10.1038/s41598-017-11407-6 Gál, 2021, Projections of the urban and intra-urban scale thermal effects of climatchange in the 21st century for cities in the carpathian basin, Hungarian Geogr. Bull., 70, 19, 10.15201/hungeobull.70.1.2 Göndöcs, 2017, Urban heat island mesoscale modelling study for the Budapest agglomeration area using the WRF model, Urban Clim., 21, 66, 10.1016/j.uclim.2017.05.005 Göndöcs, 2018, Projected changes in heat wave characteristics in the Carpathian Basin comparing different definitions, Int. J. Glob. Warm., 16, 119, 10.1504/IJGW.2018.094552 Gong, 2021, Research Progress of urban heat wave environment, IOP Conf. Ser. Earth Environ. Sci., 634, 10.1088/1755-1315/634/1/012034 Guo, 2020, Impact of urban morphology and landscape characteristics on spatiotemporal heterogeneity of land surface temperature, Sustain. Cities Soc., 63, 10.1016/j.scs.2020.102443 Hajdu, 2021, Temperature, climate change, and birth weight: evidence from Hungary, Popul. Environ., 10.1007/s11111-021-00380-y Hatvani-Kovacs, 2018, Policy recommendations to increase urban heat stress resilience, Urban Clim., 25, 51, 10.1016/j.uclim.2018.05.001 He, 2019, Exploring the mechanisms of heat wave vulnerability at the urban scale based on the application of big data and artificial societies, Environ. Int., 127, 573, 10.1016/j.envint.2019.01.057 He, 2020, Observational and modeling study of interactions between urban heat island and heatwave in Beijing, J. Clean. Prod., 247, 10.1016/j.jclepro.2019.119169 Henits, 2017, Monitoring the changes in impervious surface ratio and urban heat island intensity between 1987 and 2011 in Szeged, Hungary, Environ. Monit. Assess., 189, 10.1007/s10661-017-5779-8 Ho, 2015, A spatial framework to map heat health risks at multiple scales, Int. J. Environ. Res. Public Health, 12, 16110, 10.3390/ijerph121215046 Imran, 2019, Impacts of future urban expansion on urban heat island effects during heatwave events in the city of Melbourne in Southeast Australia, Q. J. R. Meteorol. Soc., 145, 2586, 10.1002/qj.3580 Inostroza, 2016, A heat vulnerability index: spatial patterns of exposure, sensitivity and adaptive capacity for Santiago de Chile, PLoS One, 11, 1, 10.1371/journal.pone.0162464 IPCC, 2021, 3949 Karanja, 2021, Perspectives on spatial representation of urban heat vulnerability, Sci. Total Environ., 774, 10.1016/j.scitotenv.2021.145634 Kim, 2017, Mapping heatwave vulnerability in Korea, Nat. Hazards, 89, 35, 10.1007/s11069-017-2951-y Kim, 2021, Identification of heatwave hotspots in Seoul using high-resolution population mobility data, Urban Clim., 36, 10.1016/j.uclim.2021.100771 Kollanus, 2021, Mortality risk related to heatwaves in Finland – factors affecting vulnerability, Environ. Res., 201, 10.1016/j.envres.2021.111503 Kovács, 2021, Assessment of climate change exposure of tourism in Hungary using observations and regional climate model data, Hungarian Geogr. Bull., 70, 215, 10.15201/hungeobull.70.3.2 Kropf, 2017 Leal Filho, 2018, Coping with the impacts of urban heat islands. A literature based study on understanding urban heat vulnerability and the need for resilience in cities in a global climate change context, J. Clean. Prod., 171, 1140, 10.1016/j.jclepro.2017.10.086 Leichenko, 2011, Climate change and urban resilience, Curr. Opin. Environ. Sustain., 3, 164, 10.1016/j.cosust.2010.12.014 Logan, 2020, Night and day: the influence and relative importance of urban characteristics on remotely sensed land surface temperature, Remote Sens. Environ., 247, 10.1016/j.rse.2020.111861 Macintyre, 2018, Assessing urban population vulnerability and environmental risks across an urban area during heatwaves – implications for health protection, Sci. Total Environ., 610–611, 678, 10.1016/j.scitotenv.2017.08.062 Macnee, 2016, Heat wave vulnerability and exposure mapping for Osaka City, Japan, Environ. Syst. Decis., 36, 368, 10.1007/s10669-016-9607-4 Marando, 2019, Regulating ecosystem services and green infrastructure: assessment of urban Heat Island effect mitigation in the municipality of Rome Italy, Ecol. Model., 392, 92, 10.1016/j.ecolmodel.2018.11.011 Marvuglia, 2020, The effect of green roofs on the reduction of mortality due to heatwaves: results from the application of a spatial microsimulation model to four European cities, Ecol. Model., 438, 10.1016/j.ecolmodel.2020.109351 Meerow, 2016, Defining urban resilience: a review, Landsc. Urban Plan., 147, 38, 10.1016/j.landurbplan.2015.11.011 Molnár, 2020, How does anthropogenic heating affect the thermal environment in a medium-sized central European city? A case study in Szeged, Hungary, Urban Clim., 34, 10.1016/j.uclim.2020.100673 Mora, 2017, Global risk of deadly heat, Nat. Clim. Chang., 7, 501, 10.1038/nclimate3322 Nayak, 2018, Development of a heat vulnerability index for New York State, Public Health, 161, 127, 10.1016/j.puhe.2017.09.006 Niu, 2021, A systematic review of the development and validation of the heat vulnerability index: major factors, methods, and spatial units, Curr. Clim. Chang. Reports, 7, 87, 10.1007/s40641-021-00173-3 Otto, 2017, Social vulnerability to climate change: a review of concepts and evidence, Reg. Environ. Chang., 17, 1651, 10.1007/s10113-017-1105-9 Pearsall, 2017, Staying cool in the compact city: vacant land and urban heating in Philadelphia, Pennsylvania, Appl. Geogr., 79, 84, 10.1016/j.apgeog.2016.12.010 Probáld, 2014, The urban climate of Budapest: past, present and future, Hungarian Geogr. Bull., 63, 69, 10.15201/hungeobull.63.1.6 Raja, 2021, Spatial distribution of heatwave vulnerability in a coastal city of Bangladesh, Environ. Challen., 4, 10.1016/j.envc.2021.100122 Räsänen, 2019, Zoning and weighting in urban heat island vulnerability and risk mapping in Helsinki, Finland. Reg. Environ. Chang., 19, 1481, 10.1007/s10113-019-01491-x Reckien, 2018, What is in an index? Construction method, data metric, and weighting scheme determine the outcome of composite social vulnerability indices in new York City, Reg. Environ. Chang., 18, 1439, 10.1007/s10113-017-1273-7 Reischl, 2018, Urban vulnerability and adaptation to heatwaves: a case study of Graz (Austria), Clim. Pol., 18, 63, 10.1080/14693062.2016.1227953 Roostaie, 2019, Sustainability and resilience: a review of definitions, relationships, and their integration into a combined building assessment framework, Build. Environ., 154, 132, 10.1016/j.buildenv.2019.02.042 Russo, 2019, Half a degree and rapid socioeconomic development matter for heatwave risk, Nat. Commun., 10, 1, 10.1038/s41467-018-08070-4 Senanayake, 2013, Remote sensing based analysis of urban heat islands with vegetation cover in Colombo city, Sri Lanka using Landsat-7 ETM+ data, Urban Clim., 5, 19, 10.1016/j.uclim.2013.07.004 Sharifi, 2014, Resilient urban planning: major principles and criteria, Energy Procedia, 61, 1491, 10.1016/j.egypro.2014.12.154 Sharma, 2019, Applying IPCC 2014 framework for hazard-specific vulnerability assessment under climate change, Environ. Res. Commun., 1, 10.1088/2515-7620/ab24ed Shi, 2021, Utilizing world urban database and access portal tools (WUDAPT) and machine learning to facilitate spatial estimation of heatwave patterns, Urban Clim., 36, 10.1016/j.uclim.2021.100797 Smith, 2019, Pediatric thermoregulation: considerations in the face of global climate change, Nutrients, 11, 15, 10.3390/nu11092010 Sodiq, 2019, Towards modern sustainable cities: review of sustainability principles and trends, J. Clean. Prod., 227, 972, 10.1016/j.jclepro.2019.04.106 Stillinger, 2019, Cloud masking for Landsat 8 and MODIS Terra over snow-covered terrain: error analysis and spectral similarity between snow and cloud, Water Resour. Res., 55, 6169, 10.1029/2019WR024932 Tong, 2021, Characteristics, dimensions and methods of current assessment for urban resilience to climate-related disasters: a systematic review of the literature, Int. J. Disaster Risk Reduct., 60, 10.1016/j.ijdrr.2021.102276 Torma, 2020, Evaluation of euro-cordex and med-cordex precipitation simulations for the carpathian region: Bias corrected data and projected changes, Idojaras, 124, 25 Tyler, 2012, A framework for urban climate resilience, Clim. Dev., 4, 311, 10.1080/17565529.2012.745389 Unger, 2020, Comparison of regional and urban outdoor thermal stress conditions in heatwave and normal summer periods: a case study, Urban Clim., 32, 10.1016/j.uclim.2020.100619 United Nations, 2019 Ürge-Vorsatz, 2018, Locking in positive climate responses in cities, Nat. Clim. Chang., 8, 174, 10.1038/s41558-018-0100-6 USGS, 2019 Uzzoli, 2018, Climate vulnerability regarding heat waves - a case study in Hungary, Deturope, 10, 53, 10.32725/det.2018.023 van Loenhout, 2021, Heatwave preparedness in urban Georgia: a street survey in three cities, Sustain. Cities Soc., 70, 10.1016/j.scs.2021.102933 Voelkel, 2018, Assessing vulnerability to urban heat: a study of disproportionate heat exposure and access to refuge by socio-demographic status in Portland, Oregon, Int. J. Environ. Res. Public Health, 15, 10.3390/ijerph15040640 Walawender, 2014, Land surface temperature patterns in the urban agglomeration of Krakow (Poland) derived from Landsat-7/ETM+ data, Pure Appl. Geophys., 171, 913, 10.1007/s00024-013-0685-7 Wamsler, 2013, Planning for climate change in urban areas: from theory to practice, J. Clean. Prod., 50, 68, 10.1016/j.jclepro.2012.12.008 Wang, 2018, The street airwarming phenomenon in a high-rise compact city, Atmosphere (Basel)., 9 Wloczyk, 2011, Estimation of instantaneous air temperature above vegetation and soil surfaces from Landsat 7 ETM+ data in northern Germany, Int. J. Remote Sens., 32, 9119, 10.1080/01431161.2010.550332 Wolf, 2013, The development of a heat wave vulnerability index for London, United Kingdom, Weather Clim. Extrem., 1, 59, 10.1016/j.wace.2013.07.004 Xie, 2010, Calculating NDVI for Landsat7-ETM data after atmospheric correction using 6S model: A case study in Zhangye city, China, 1 Xu, 2019, Heatwaves and diabetes in Brisbane, Australia: a population-based retrospective cohort study, Int. J. Epidemiol., 48, 1091, 10.1093/ije/dyz048 Yang, 2019, Heatwave and mortality in 31 major Chinese cities: definition, vulnerability and implications, Sci. Total Environ., 649, 695, 10.1016/j.scitotenv.2018.08.332 Yue, 2007, The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data, Int. J. Remote Sens., 28, 3205, 10.1080/01431160500306906 Zhang, 2018, A raster-based subdividing indicator to map urban heat vulnerability: a case study in Sydney, Australia, Int. J. Environ. Res. Public Health, 15, 10.3390/ijerph15112516 Zhao, 2021, Vulnerability of Chinese rural-to-urban migrants to social exclusion: spatial pattern and mechanism, Front. Archit. Res., 10, 572, 10.1016/j.foar.2021.03.006 Zhu, 2014, Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: an algorithm designed specifically for monitoring land cover change, Remote Sens. Environ., 152, 217, 10.1016/j.rse.2014.06.012 Zsebeházi, 2020, Modeling the urban climate of Budapest using the SURFEX land surface model driven by the ALADIN-climate regional climate model results, Idojaras, 124, 191