Adaptive Planning for Reducing Negative Impacts of Climate Change in Case of Hungarian Cities
As weather forecasts for Hungary show rising temperature and less precipitation in some months of a year in the near future, application of smart solutions regarding urban development and planning is a key for tackling the emerging challenges. According to studies related to future weather events in the Carpathian basin, Hungarian cities will likely face similar climate-related challenges as Mediterranean cities nowadays, despite of their different geographical locations. Based on these forecasts, adaptive planning through indicator-based systems plays a crucial role in the abatement of negative effects of climate change, therefore smart principles with an effective monitoring phase can contribute to the vital future of Hungarian cities. The present paper states climate-related interpretation of smart city sub-systems (people, environment, governance, mobility, economy and living) by providing sets of indicators for making comprehensive, sustainable and smart decisions. The selection of indicators is based on two main aspects: firstly, data availability for effectively using existing indicators’ sets; secondly, adaptation for anticipated negative effects of climate change in urban areas in light of smart cities’ potential. Interconnections between climate-related challenges and urban development can be revealed by creating climate-oriented smart city concepts and indicators to improve cities’ adaptation capacity. The main aim of the present study is to contribute to the better understanding of complex interrelations between climate-related challenges and the role of smart cities; and develop specific concepts and set of indicators for improving decision-making and urban planning processes. The second aim is to reveal the role of smart cities in the abatement of negative effects of climate change through effective monitoring and project supporting systems.
KeywordsClimate change adaptation Smart city Indicators Urban planning
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