Mendizabal, MaddalenPeña, NievesHooyberghs, HansLambrechts, GrietSepúlveda, JoelZorita, Saioa2021-10-18Mendizabal , M , Peña , N , Hooyberghs , H , Lambrechts , G , Sepúlveda , J & Zorita , S 2021 , ' Lessons Learned from Applying Adaptation Pathways in Heatwave Risk Management in Antwerp and Key Challenges for Further Development ' , Sustainability , vol. 13 , no. 20 , 11481 , pp. 11481 . https://doi.org/10.3390/su1320114812071-1050researchoutputwizard: 11556/1224Publisher Copyright: © 2021 by the authors.Heat exposure is a well-known health hazard, which causes several problems ranging from thermal discomfort or productivity reduction to the aggravation of existing illnesses and death. Climate projections foresee an increase in the frequency and intensity of heat-related impacts on human health. To reduce these climate risks, governments need a better understanding of not only the scale and the factors affecting those risks, but also how to prepare and protect the city and citizens against these risks and prevent them through effective policy making. Therefore, climate adaptation decisions need to be made in complex systems with manifold uncertainties. In response to these deep uncertainties, different planning approaches have been developed to assist policymakers in decision making. This paper is focused on one of the dynamic adaptive policy planning approaches: the adaptation pathway. This approach allows designing alternative feasible plans that are flexible and can respond when new information appears or when conditions in the environment change. This paper presents a structured methodology for designing adaptation pathways. The work describes a high-level adaptation pathway covering heatwave impacts on productivity and health at city level in Antwerp to ensure the city adapts to future conditions. Lastly, a summary is provided of the lessons learned and the challenges of this approach are discussed.18190926enginfo:eu-repo/semantics/openAccessjournal article10.3390/su132011481EffectivenessAlternativesHeatwavesPlanningDecision MakingUncertaintyDynamic Adaptive PolicyEffectivenessAlternativesHeatwavesPlanningDecision MakingUncertaintyDynamic Adaptive PolicyComputer Science (miscellaneous)Geography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentBuilding and ConstructionEnvironmental Science (miscellaneous)Energy Engineering and Power TechnologyHardware and ArchitectureComputer Networks and CommunicationsManagement, Monitoring, Policy and LawSDG 13 - Climate ActionProject IDinfo:eu-repo/grantAgreement/EC/FP7/308497/EU/Reconciling Adaptation, Mitigation and Sustainable Development for Cities/RAMSESinfo:eu-repo/grantAgreement/EC/H2020/653522/EU/Climate Resilient Cities and Infrastructures project/RESINinfo:eu-repo/grantAgreement/EC/FP7/308497/EU/Reconciling Adaptation, Mitigation and Sustainable Development for Cities/RAMSESinfo:eu-repo/grantAgreement/EC/H2020/653522/EU/Climate Resilient Cities and Infrastructures project/RESINFunding InfoThis work was supported by the European Community’s Seventh Framework Programme (grant agreement no. 308497), Project RAMSES “Reconciling Adaptation, Mitigation and Sustainable Development for Cities” (2012–2017). In addition, this study has received partial funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 653522 (RESIN−Climate Resilient Cities and Infrastructures project).This work was supported by the European Community’s Seventh Framework Programme (grant agreement no. 308497), Project RAMSES “Reconciling Adaptation, Mitigation and Sustainable Development for Cities” (2012–2017). In addition, this study has received partial funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 653522 (RESIN−Climate Resilient Cities and Infrastructures project).http://www.scopus.com/inward/record.url?scp=85117708582&partnerID=8YFLogxK