Skip to main content
SpringerLink
Log in

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

  • Chapter
  • First Online:
Smart Cities in the Mediterranean

Part of the book series: Progress in IS ((PROIS))

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Albino, V., Berardi, U., & Dangelico, R. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of Urban Technology, 22(1), 3–21.

    Article  Google Scholar 

  • Angelidou, M. (2015). Smart cities: A conjuncture of four forces. Cities, 47, 95–106.

    Article  Google Scholar 

  • Angeon, V., & Bates, S. (2015). Reviewing composite vulnerability and resilience indexes: A sustainable approach and application. World Development, 72, 140–162.

    Article  Google Scholar 

  • 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 

  • Bartholy, J. (2007). Regional climate change expected in Hungary for 2071–2100. Applied Ecology and Environmental Research, 5(1), 1–17.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • Calvillo, C., Sánchez-Miralles, A., & Villar, J. (2016). Energy management and planning in smart cities. Renewable and Sustainable Energy Reviews, 55, 273–287.

    Article  Google Scholar 

  • Caragliu, A., Del Bo, C., & Nijkamp, P. (2011). Smart cities in Europe. Journal of Urban Technology, 18(2), 65–82.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Desouza, K., & Flanery, T. (2013). Designing, planning, and managing resilient cities: A conceptual framework. Cities, 35, 89–99.

    Article  Google Scholar 

  • Dizdaroglu, D. (2015). Developing micro-level urban ecosystem indicators for sustainability assessment. Environmental Impact Assessment Review, 54, 119–124.

    Article  Google Scholar 

  • Faragó, T., Láng, I., & Csete, L. (Eds.) (2010). Climate change and Hungary: Mitigating the hazard and preparing for the impacts. VAHAVA Project. http://www.preventionweb.net/files/18582_thevahavareport08dec2010.pdf. Accessed October 30, 2016.

  • Garau, C., Masala, F., & Pinna, F. (2016). Cagliari and smart urban mobility: Analysis and comparison. Cities, 56, 35–46.

    Article  Google Scholar 

  • 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 

  • Huang, L., Wu, J., & Yan, L. (2015). Defining and measuring urban sustainability: A review of indicators. Landscape Ecology, 30(7), 1175–1193.

    Article  Google Scholar 

  • 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 

  • Jabareen, Y. (2013). Planning the resilient city: Concepts and strategies for coping with climate change and environmental risk. Cities, 31, 220–229.

    Article  Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • Kitchin, R. (2014). The real-time city? Big data and smart urbanism. GeoJournal, 79(1), 1–14.

    Article  Google Scholar 

  • 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

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • Marans, R. (2015). Quality of urban life & environmental sustainability studies: Future linkage opportunities. Habitat International, 45, 47–52.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Marsal-Llacuna, M., & Segal, M. (2016). The intelligenter method (I) for making “smarter” city projects and plans. Cities, 55, 127–138.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Michael, F., Noor, Z., & Figueroa, M. (2014). Review of urban sustainability indicators assessment—case study between Asian countries. Habitat International, 44, 491–500.

    Article  Google Scholar 

  • 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.

    Chapter  Google Scholar 

  • 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 

  • OMSZ. (2015). Observed climatic changes in Hungary. http://met.hu/ismeret-tar/kiadvanyok/fuzetek/index.php?id=1413&hir=Megfigyelt_hazai_eghajlati_valtozasok. Accessed March 18, 2016.

  • Probáld, F. (2014). The urban climate of Budapest: Past, present and future. HunGeoBull, 63(1), 69–79.

    Article  Google Scholar 

  • Sharifi, A., & Yamagata, Y. (2014). Resilient urban planning: Major principles and criteria. Energy Procedia, 61, 1491–1495.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • UN—United Nations. (2014). World urbanization prospects: The 2014 revision. New York: UN.

    Google Scholar 

  • 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.

    Chapter  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Walravens, N. (2015). Qualitative indicators for smart city business models: The case of mobile services and applications. Telecommunications Policy, 39(3–4), 218–240.

    Article  Google Scholar 

  • Xu, L., Marinova, D., & Guo, X. (2015). Resilience thinking: A renewed system approach for sustainability science. Sustainability Science, 10(1), 123–138.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Environmental Economics, Budapest University of Technology and Economics, H-1117, Budapest Magyar tudósok krt. 2, Budapest, Hungary

    Attila Buzási & Mária Szalmáné Csete

Authors
  1. Attila Buzási
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mária Szalmáné Csete
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Attila Buzási .

Editor information

Editors and Affiliations

  1. Dept of Geography and Regional Planning, National Technical University of Athens, Department of Geography and Regional Planning, Athens, Greece

    Anastasia Stratigea

  2. KIOS Research Center, University of Cyprus, KIOS Research Center, Nicosia, Cyprus

    Elias Kyriakides

  3. CNE Business Development Ltd. , Limassol, Cyprus

    Chrysses Nicolaides

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Buzási, A., Csete, M.S. (2017). Adaptive Planning for Reducing Negative Impacts of Climate Change in Case of Hungarian Cities. In: Stratigea, A., Kyriakides, E., Nicolaides, C. (eds) Smart Cities in the Mediterranean. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-54558-5_10

Download citation

Publish with us

Policies and ethics

Search

Navigation