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Adaptation Strategies and Resilience to Climate Change of Historic Dwellings

Author

Listed:
  • Carlos Rubio-Bellido

    (Higher Technical School of Building Engineering, Universidad de Sevilla, Seville 41012, Spain)

  • Jesus A. Pulido-Arcas

    (Canon Foundation, Amstelveen 1180, The Netherlands)

  • Jose M. Cabeza-Lainez

    (Faculty of Science, Hokkaido University, Sapporo, Hokkaido 060-0808, Japan)

Abstract

Historic city centres have a large amount of dwellings in Europe, which were built to provide a comfortable shelter with the absence of mechanical means. The knowledge of climate responsive design strategies can play a significant role in reducing the energy demand of extant buildings, paving the way for its sustainable development in the face of the rising threat to its occupants of climate change. The residential architecture, developed, in most cases, in dense urban centres, was built using both available materials and traditional and academic construction technologies. This paper thoroughly investigates the extant urban conglomerate in Cádiz and analyses, in a qualitative and quantitative manner, which bioclimatic design strategies were applied and the city’s adaptation for future climate scenarios. The results indicate that historic housing in Cádiz is creatively adapted to the local natural conditions by means of a combination of climate responsive strategies, and there is significant scope for improvement in the ongoing response to global warming.

Suggested Citation

  • Carlos Rubio-Bellido & Jesus A. Pulido-Arcas & Jose M. Cabeza-Lainez, 2015. "Adaptation Strategies and Resilience to Climate Change of Historic Dwellings," Sustainability, MDPI, vol. 7(4), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:4:p:3695-3713:d:47473
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    References listed on IDEAS

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    1. Quirin Schiermeier, 2010. "The real holes in climate science," Nature, Nature, vol. 463(7279), pages 284-287, January.
    2. Andreou, E., 2014. "The effect of urban layout, street geometry and orientation on shading conditions in urban canyons in the Mediterranean," Renewable Energy, Elsevier, vol. 63(C), pages 587-596.
    3. Jose Maria Cabeza Lainez, 2012. "Solar Radiation in Buildings, Transfer and Simulation Procedures," Chapters, in: Elisha B. Babatunde (ed.), Solar Radiation, IntechOpen.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Jiayi Shi & Tao Zhang & Hiroatsu Fukuda & Qun Zhang & Lujian Bai, 2022. "Socio-Environmental Responsive Strategy and Sustainable Development of Traditional Tianshui Dwellings," Sustainability, MDPI, vol. 14(14), pages 1-27, July.
    2. Emanuele Bonamente & Franco Cotana, 2015. "Carbon and Energy Footprints of Prefabricated Industrial Buildings: A Systematic Life Cycle Assessment Analysis," Energies, MDPI, vol. 8(11), pages 1-17, November.
    3. Guoqiang Xu & Hong Jin & Jian Kang, 2019. "Experimental Study on the Indoor Thermo-Hygrometric Conditionsof the Mongolian Yurt," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    4. Amin Mohammadi & Mahmoud Reza Saghafi & Mansoureh Tahbaz & Farshad Nasrollahi, 2017. "Effects of Vernacular Climatic Strategies (VCS) on Energy Consumption in Common Residential Buildings in Southern Iran: The Case Study of Bushehr City," Sustainability, MDPI, vol. 9(11), pages 1-26, October.
    5. Pérez-Fargallo, Alexis & Rubio-Bellido, Carlos & Pulido-Arcas, Jesús A. & Javier Guevara-García, Fco., 2018. "Fuel Poverty Potential Risk Index in the context of climate change in Chile," Energy Policy, Elsevier, vol. 113(C), pages 157-170.
    6. Carlos Rubio-Bellido & Jesús A. Pulido-Arcas & Benito Sánchez-Montañés, 2015. "A Simplified Simulation Model for Predicting Radiative Transfer in Long Street Canyons under High Solar Radiation Conditions," Energies, MDPI, vol. 8(12), pages 1-19, December.
    7. Qi Liu & Zaiyi Liao & Yongfa Wu & Dagmawi Mulugeta Degefu & Yiwei Zhang, 2019. "Cultural Sustainability and Vitality of Chinese Vernacular Architecture: A Pedigree for the Spatial Art of Traditional Villages in Jiangnan Region," Sustainability, MDPI, vol. 11(24), pages 1-27, December.
    8. Pino-Mejías, Rafael & Pérez-Fargallo, Alexis & Rubio-Bellido, Carlos & Pulido-Arcas, Jesús A., 2018. "Artificial neural networks and linear regression prediction models for social housing allocation: Fuel Poverty Potential Risk Index," Energy, Elsevier, vol. 164(C), pages 627-641.
    9. Barbara Vojvodíková & Iva Tichá & Anna Starzewska-Sikorska, 2022. "Implementing Nature-Based Solutions in Urban Spaces in the Context of the Sense of Danger That Citizens May Feel," Land, MDPI, vol. 11(10), pages 1-21, October.

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