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Building low-carbon and disaster-resilient communities: integrating climate mitigation and adaptation into the assessment of self-help housing design

Listed author(s):
  • Sasima Charoenkit

    ()

    (Asian Institute of Technology)

  • S. Kumar

    (Asian Institute of Technology)

Registered author(s):

    Abstract Housing is not only one of the major sources of carbon dioxide (CO2) emissions, but it has been increasingly vulnerable to climate-induced disasters, particularly those sheltering the urban poor. Both mitigation and adaptation measures are therefore required for the design and construction of low-income housing to encourage low carbon development and improve resilience to disasters. As self-help housing—the common type of housing for the urban poor in developing countries—is usually built by ordinary people with participatory approach, it is crucial to develop a low-carbon and disaster-resilient assessment tool for assisting them in making informed decisions during planning process. The objective of this article is to propose a new approach for developing a low-carbon and disaster-resilient assessment tool for self-help housing (LoDAT-SH) by combining opinions from experts and community residents to assign weights, identify indicators, and establish benchmarks with the aim to develop a simple, relevant, and practical tool for non-expert users like self-help residents. The application of the proposed methodology to a case study of a developing country, Thailand, shows the ability of LoDAT-SH, which contains 45 indicators in the four categories of low carbon development, disaster resilience, community participation, and financial consideration, in enabling self-help residents to assess the performance of their housing design, identify potential measures to create a low-carbon and disaster-resilient housing, and prioritize such actions. To support the creation of a low-carbon and disaster-resilient housing as the mitigation and adaptation strategy for urban development at the global level, the study suggests that the methodology of LoDAT-SH should be replicated to develop a more comprehensive assessment tool applicable for the use in self-help housing design in other developing countries, which will house about 900 million of the urban poor by 2020.

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    File URL: http://link.springer.com/10.1007/s11027-015-9694-4
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    Article provided by Springer in its journal Mitigation and Adaptation Strategies for Global Change.

    Volume (Year): 22 (2017)
    Issue (Month): 5 (June)
    Pages: 695-728

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    Handle: RePEc:spr:masfgc:v:22:y:2017:i:5:d:10.1007_s11027-015-9694-4
    DOI: 10.1007/s11027-015-9694-4
    Contact details of provider: Web page: http://www.springer.com

    Order Information: Web: http://www.springer.com/economics/journal/11027

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    1. Lesley Hemphill & Jim Berry & Stanley McGreal, 2004. "An Indicator-based Approach to Measuring Sustainable Urban Regeneration Performance: Part 1, Conceptual Foundations and Methodological Framework," Urban Studies, Urban Studies Journal Limited, vol. 41(4), pages 725-755, April.
    2. Lesley Hemphill & Stanley McGreal & Jim Berry, 2004. "An Indicator-based Approach to Measuring Sustainable Urban Regeneration Performance: Part 2, Empirical Evaluation and Case-study Analysis," Urban Studies, Urban Studies Journal Limited, vol. 41(4), pages 757-772, April.
    3. Yu, Wei & Li, Baizhan & Yang, Xincheng & Wang, Qingqin, 2015. "A development of a rating method and weighting system for green store buildings in China," Renewable Energy, Elsevier, vol. 73(C), pages 123-129.
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