Adaptive Planning for Reducing Negative Impacts of Climate Change in Case of Hungarian Cities

  • Attila Buzási
  • Mária Szalmáné Csete
Part of the Progress in IS book series (PROIS)


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.


Climate change adaptation Smart city Indicators Urban planning 


  1. Albino, V., Berardi, U., & Dangelico, R. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of Urban Technology, 22(1), 3–21.CrossRefGoogle Scholar
  2. Angelidou, M. (2015). Smart cities: A conjuncture of four forces. Cities, 47, 95–106.CrossRefGoogle Scholar
  3. Angeon, V., & Bates, S. (2015). Reviewing composite vulnerability and resilience indexes: A sustainable approach and application. World Development, 72, 140–162.CrossRefGoogle Scholar
  4. Anthopoulous, L. G., & Vakali, A. (2012). Urban planning and smart cities: Interrelations and reciproties. In F. Álvarez et al. (Eds.), The future internet—future internet assembly 2012: From promises to reality (pp. 178–189). Berlin/Heidelberg: Springer.Google Scholar
  5. Bartholy, J. (2007). Regional climate change expected in Hungary for 2071–2100. Applied Ecology and Environmental Research, 5(1), 1–17.CrossRefGoogle Scholar
  6. Bartholy, J., & Pongrácz, R. (2010). Analysis of precipitation conditions for the Carpathian basin based on extreme indices in the 20th century and climate simulations for 2050 and 2100. Physics and Chemistry of the Earth (Parts A/B/C), 35(1–2), 43–51.Google Scholar
  7. Bozza, A., Asprone, D., & Manfredi, G. (2015). Developing an integrated framework to quantify resilience of urban systems against disasters. Natural Hazards, 78(3), 1729–1748.CrossRefGoogle Scholar
  8. Brandt, P., Kvakić, M., Butterbach-Bahl, K., & Rufino, M. (2015). How to target climate-smart agriculture? Concept and application of the consensus-driven decision support framework “targetCSA”. Agricultural Systems. doi: 10.1016/j.agsy.2015.12.011 Google Scholar
  9. Buzási, A. (2014). Will Budapest be a climate-resilient city?—Adaptation and mitigation challenges and opportunities in development plans of Budapest. European Journal of Sustainable Development, 3(4), 277–288.CrossRefGoogle Scholar
  10. Calvillo, C., Sánchez-Miralles, A., & Villar, J. (2016). Energy management and planning in smart cities. Renewable and Sustainable Energy Reviews, 55, 273–287.CrossRefGoogle Scholar
  11. Caragliu, A., Del Bo, C., & Nijkamp, P. (2011). Smart cities in Europe. Journal of Urban Technology, 18(2), 65–82.CrossRefGoogle Scholar
  12. De Jong, M., Joss, S., Schraven, D., Zhan, C., & Weijnen, M. (2015). Sustainable–smart–resilient–low carbon–eco–knowledge cities; making sense of a multitude of concepts promoting sustainable urbanization. Journal of Cleaner Production, 109, 25–38.CrossRefGoogle Scholar
  13. Desouza, K., & Flanery, T. (2013). Designing, planning, and managing resilient cities: A conceptual framework. Cities, 35, 89–99.CrossRefGoogle Scholar
  14. Dizdaroglu, D. (2015). Developing micro-level urban ecosystem indicators for sustainability assessment. Environmental Impact Assessment Review, 54, 119–124.CrossRefGoogle Scholar
  15. Faragó, T., Láng, I., & Csete, L. (Eds.) (2010). Climate change and Hungary: Mitigating the hazard and preparing for the impacts. VAHAVA Project. Accessed October 30, 2016.
  16. Garau, C., Masala, F., & Pinna, F. (2016). Cagliari and smart urban mobility: Analysis and comparison. Cities, 56, 35–46.CrossRefGoogle Scholar
  17. Greco, I., & Cresta, A. (2015, June 22–25). A smart planning for smart city: The concept of smart city as an opportunity to re-think the planning models of the contemporary city. In O. Gervasi et al. (Eds.), Computational science and its applications (part II). Paper presented at 15th International Conference on Computational Science and Its Applications (ICCSA 2015), Banff (pp. 563–576). Cham: Springer International Publishing.Google Scholar
  18. Huang, L., Wu, J., & Yan, L. (2015). Defining and measuring urban sustainability: A review of indicators. Landscape Ecology, 30(7), 1175–1193.CrossRefGoogle Scholar
  19. IPCC - Intergovernmental Panel on Climate Change. (2014). Climate change 2014: Impacts, adaptation, and vulnerability (part a: Global and sectoral aspects). Cambridge: Cambridge University Press.Google Scholar
  20. Jabareen, Y. (2013). Planning the resilient city: Concepts and strategies for coping with climate change and environmental risk. Cities, 31, 220–229.CrossRefGoogle Scholar
  21. Kelemen, F. D., Bartholy, J., & Pongrácz, R. (2015). Multivariable cyclone analysis in the Mediterranean region. Időjárás—Quarterly Journal of the Hungarian Meteorological Service, 119(2), 159–184.Google Scholar
  22. Khansari, N., Mostashari, A., & Mansouri, M. (2014). Conceptual modeling of the impact of smart cities on household energy consumption. Procedia Computer Science, 28, 81–86.CrossRefGoogle Scholar
  23. Kitchin, R. (2014). The real-time city? Big data and smart urbanism. GeoJournal, 79(1), 1–14.CrossRefGoogle Scholar
  24. Koop, S., & van Leeuwen, C. (2016). The challenges of water, waste and climate change in cities. Environment Development and Sustainability, 1–34. doi: 10.1007/s10668-016-9760-4
  25. Lee, J., Hancock, M., & Hu, M. (2014). Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco. Technological Forecasting and Social Change, 89, 80–99.CrossRefGoogle Scholar
  26. Lund, P., Mikkola, J., & Ypyä, J. (2015). Smart energy system design for large clean power schemes in urban areas. Journal of Cleaner Production, 103, 437–445.CrossRefGoogle Scholar
  27. Mahon, M., Fahy, F., & Ó Cinnéide, M. (2012). The significance of quality of life and sustainability at the urban–rural fringe in the making of place-based community. GeoJournal, 77(2), 265–278.Google Scholar
  28. Marans, R. (2015). Quality of urban life & environmental sustainability studies: Future linkage opportunities. Habitat International, 45, 47–52.CrossRefGoogle Scholar
  29. Marić, I., Pucar, M., & Kovačević, B. (2016). Reducing the impact of climate change by applying information technologies and measures for improving energy efficiency in urban planning. Energy and Buildings, 115, 102–111.CrossRefGoogle Scholar
  30. Marsal-Llacuna, M., & Segal, M. (2016). The intelligenter method (I) for making “smarter” city projects and plans. Cities, 55, 127–138.CrossRefGoogle Scholar
  31. Marsal-Llacuna, M., Colomer-Llinàs, J., & Meléndez-Frigola, J. (2015). Lessons in urban monitoring taken from sustainable and livable cities to better address the smart cities initiative. Technological Forecasting and Social Change, 90, 611–622.CrossRefGoogle Scholar
  32. McDaniels, T., Chang, S., Hawkins, D., Chew, G., & Longstaff, H. (2015). Towards disaster-resilient cities: An approach for setting priorities in infrastructure mitigation efforts. Environ Syst Decis, 35(2), 252–263.CrossRefGoogle Scholar
  33. McDonald, R., Douglas, I., Revenga, C., Hale, R., Grimm, N., Grönwall, J., et al. (2011). Global urban growth and the geography of water availability, quality, and delivery. Ambio, 40(5), 437–446.CrossRefGoogle Scholar
  34. Michael, F., Noor, Z., & Figueroa, M. (2014). Review of urban sustainability indicators assessment—case study between Asian countries. Habitat International, 44, 491–500.CrossRefGoogle Scholar
  35. Monzon, A. (2015). Smart cities concept and challenges: Bases for the assessment of smart city projects. In M. Helfert et al. (Eds.), Smart cities, green technologies, and intelligent transport systems (pp. 17–31). Cham: Springer International Publishing.CrossRefGoogle Scholar
  36. Oliveira, E.A., Kirley, M., Kvan, T., Karakiewicz, J. & Vaz, C. (2015, July, 6–10). Distributed and heterogeneous data analysis for smart urban planning. In G. Celani et al. (Eds.), Computer-aided architectural design futures. The next city—new technologies and the future of the built environment. Paper presented at 16th International Conference CAAD Futures: The next city, Sao Paulo (pp. 37–54). Berlin/Heidelberg: Springer.Google Scholar
  37. OMSZ. (2015). Observed climatic changes in Hungary. Accessed March 18, 2016.
  38. Probáld, F. (2014). The urban climate of Budapest: Past, present and future. HunGeoBull, 63(1), 69–79.CrossRefGoogle Scholar
  39. Sharifi, A., & Yamagata, Y. (2014). Resilient urban planning: Major principles and criteria. Energy Procedia, 61, 1491–1495.CrossRefGoogle Scholar
  40. Stratigea, A., Papadopoulou, C., & Panagiotopoulou, M. (2015). Tools and technologies for planning the development of smart cities. Journal of Urban Technology, 22(2), 43–62.CrossRefGoogle Scholar
  41. UN—United Nations. (2014). World urbanization prospects: The 2014 revision. New York: UN.Google Scholar
  42. Vasilakopoulou, K., Kolokotsa, D., & Santamouris, M. (2014). Cities for smart environmental and energy futures: Urban heat island mitigation techniques for sustainable cities. In S. T. Rassia & P. M. Pardalos (Eds.), Cities for smart environmental and energy futures (energy systems) (pp. 215–233). Berlin/Heidelberg: Springer.CrossRefGoogle Scholar
  43. Voskamp, I., & van de Ven, F. (2015). Planning support system for climate adaptation: Composing effective sets of blue-green measures to reduce urban vulnerability to extreme weather events. Building and Environment, 83, 159–167.CrossRefGoogle Scholar
  44. Walravens, N. (2015). Qualitative indicators for smart city business models: The case of mobile services and applications. Telecommunications Policy, 39(3–4), 218–240.CrossRefGoogle Scholar
  45. Xu, L., Marinova, D., & Guo, X. (2015). Resilience thinking: A renewed system approach for sustainability science. Sustainability Science, 10(1), 123–138.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Environmental EconomicsBudapest University of Technology and EconomicsBudapestHungary

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