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    <subfield code="a">AIT Diss. no.ET-15-02</subfield>
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    <subfield code="a">Sasima Charoenkit</subfield>
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    <subfield code="a">An assessment tool for low carbon and disaster resilient self-help housing</subfield>
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    <subfield code="a">Pathum Thani, Thailand :</subfield>
    <subfield code="b">Asian Institute of Technology,</subfield>
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    <subfield code="a">Dissertation ;</subfield>
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    <subfield code="a">A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Energy, School of Environment, Resources and Development</subfield>
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    <subfield code="a">Thesis (Ph.D.) - Asian Institute of Technology, 2015</subfield>
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    <subfield code="a">The continued increasing demand of housing for the urban poor in developing countries has substantial  impact  on  energy  use  for  household  activities  and  the  rise  in CO2 emissions.  By 2020 energy demand is expected to considerably increase to accommodate approximately 900 million low income populations in cities and towns. In addition, climate risks of low income housing are profound due to high potential of cities to face more frequent and intense disasters as a result of climate change. In developing world where informal settlements are concentrated and expected to increase, self-help housing is the promising approach to formalize this informal sector  by empowering the  urban poor  to  improve or  build their  own communities.  Self-help initiatives have therefore been promoted in several countries in Central/South America, South Africa, and Asia. Based on the consideration of the large number of self-help housing, which is likely to be constructed in the coming decades, this represents an important opportunity for integrating low carbon and disaster resilience principles into the participatory process of self-help  housing  planning.  It  is  necessary  to  develop  a  Low  carbon  and  Disaster  resilient Assessment Tool for Self-help Housing (LoDAT-SH) for this targeted group to assist them to make the informed decisions on their housing development towards a low carbon and disaster resilience  future,  due  to  the  lack  of  the  assessment  toolfor  non-expert  users.  This  research therefore  aims  to  develop  the  methodology  framework  of  LoDAT-SH,  which  is  simple, practical,  valid,  reliable,  and  useful  for  self-help  residents  and  to  test  the  applicability,  the reliability,  validity,  and  usefulness  of  LoDAT-SH  developed  for  self-help  housing  in  a developing country. LoDAT-SH principles were developed from strengths and limitations of the   existing   tools.   Based   on   the   principles   of   LoDAT-SH   above,   the   four-phased methodological framework of LoDAT-SH wasconsolidated. This four-phased framework was used to develop LoDAT-SH for self-help housing in Thailand.In  Phase  I,  a  study  of  self-help  housing  in  Thailand  was  carried  out  to  understand  physical housing  and  related  characteristics  along  with  energy  and disaster  related  concerns  by  a household survey and semi-structure interviews in selected self-help housingprone to flooding in  Bangkok  and  its  vicinity.    The  findings  show  that  level  of  affordability  for  electricity, transportation,  and  cooking is  acceptable  for  most  households  but  the  damage  costs due  to flooding were considered high. However, this situation willworsen if fuel prices increase and flooding events tend to be more severe due to climate change.In  Phase  II,  the  assessment  framework  of  low  carbon  and  disaster  resilient  development  for self-help housing in Thailand was developed. The assessment framework can be divided into four  categories  of  low  carbon  development  (LC), The continued increasing demand of housing for the urban poor in developing countries has substantial  impact  on  energy  use  for  household  activities  and  the  rise  in  CO2emissions.  By 2020 energy demand is expected to considerably increase to accommodate approximately 900 million low income populations in cities and towns. In addition, climate risks of low income housing are profound due to high potential of cities to face more frequent and intense disasters as a result of climate change. In developing world where informal settlements are concentrated and expected to increase, self-help housing is the promising approach to formalize this informal sector  by empowering the  urban poor  to  improve or  build their  own communities.  Self-help initiatives have therefore been promoted in several countries in Central/South America, South Africa, and Asia. Based on the consideration of the large number of self-help housing, which is likely to be constructed in the coming decades, this represents an important opportunity for integrating low carbon and disaster resilience principles into the participatory process of self-help  housing  planning.  It  is  necessary  to  develop  a  Low  carbon  and  Disaster  resilient Assessment Tool for Self-help Housing (LoDAT-SH) for this targeted group to assist them to make the informed decisions on their housing development towards a low carbon and disaster resilience  future,  due  to  the  lack  of  the  assessment  toolfor  non-expert  users.  This  research therefore  aims  to  develop  the  methodology  framework  of  LoDAT-SH,  which  is  simple, practical,  valid,  reliable,  and  useful  for  self-help  residents  and  to  test  the  applicability,  the reliability,  validity,  and  usefulness  of  LoDAT-SH  developed  for  self-help  housing  in  a developing country. LoDAT-SH principles were developed from strengths and limitations of the   existing   tools.   Based   on   the   principles   of   LoDAT-SH   above,   the   four-phased methodological framework of LoDAT-SH wasconsolidated. This four-phased framework was used to develop LoDAT-SH for self-help housing in Thailand.In  Phase  I,  a  study  of  self-help  housing  in  Thailand  was  carried  out  to  understand  physical housing  and  related  characteristics  along  with  energy  and disaster  related  concerns  by  a household survey and semi-structure interviews in selected self-help housingprone to flooding in  Bangkok  and  its  vicinity.    The  findings  show  that  level  of  affordability  for  electricity, transportation,  and  cooking is  acceptable  for  most  households  but  the  damage  costs due  to flooding were considered high. However, this situation willworsen if fuel prices increase and flooding events tend to be more severe due to climate change.In  Phase  II,  the  assessment  framework  of  low  carbon  and  disaster  resilient  development  for self-help housing in Thailand was developed. The assessment framework can be divided into four  categories  of  low  carbon  development  (LC),  Disaster  Resilience  (DR),  Community Participation (CP), and Financial Consideration (FC). LoDAT-SH weighting was also assigned by using the Analytical Hierarchical Process (AHP) from two groups of seventeen experts and six self-help residents.In Phase III, LoDAT-SH indicators were identified for LC, DR, CP, and FC categories. They were  selected  from  existing  indicators  available  in  the  sustainability  assessment  tools.  New indicators were also developed for some measurement issues of DR and CP categories.  This includes twenty-seven indicators for the LC category, nine indicators for the DR category, and three each for the CP and FC categories. Benchmarks for each indicator were established based on several  sources to  assign the  maximum and  minimum values,  referring  to  very good  and average  performance,  for  the  individual  indicators.  </subfield>
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    <subfield code="a">The  assessment  results  of  the  individual  Disaster  Resilience  (DR),  Community Participation (CP), and Financial Consideration (FC). LoDAT-SH weighting was also assigned by using the Analytical Hierarchical Process (AHP) from two groups of seventeen experts and six self-help residents.In Phase III, LoDAT-SH indicators were identified for LC, DR, CP, and FC categories. They were  selected  from  existing  indicators  available  in  the  sustainability  assessment  tools.  New indicators were also developed for some measurement issues of DR and CP categories.  This includes twenty-seven indicators for the LC category, nine indicators for the DR category, and three each for the CP and FC categories. Benchmarks for each indicator were established based on several  sources to  assign the  maximum and  minimum values,  referring  to  very good  and average  performance,  for  the  individual  indicators.  The  assessment  results  of  the  individual ndicators were expressed as scores which rangedfrom 1-4, representing poor, average, good, and very good performance. To achieve the overall assessment results, scores of all indicators were  summed  in  respectto  the  weights  of  such  indicators.  The  proposed  indicators  and benchmarks were verified by a panel of stakeholders by using a five-point scale. LoDAT-SH indicators and benchmarks with low scores below 3.5 were revised based on the comments of panel members. The final version of LoDAT-SH then was pretested to five self-help residents to investigate the clarity of the tool and the ability of end-users to complete the tool.In Phase IV, the application of LoDAT-SH to low income housing projects was carried out to validate  the  assessment  results  and  to  examine  weaknesses  of  the  tool.  Eighteen  housing projects  vulnerable  to  floods  in  Bangkok  and  vicinity  was  selected  for  the  application  of LoDAT-SH.  To  validate  the  LoDAT  scores,  the  concurrent  validity  was  undertaken  by correlating the LoDAT-SH scores with the assessment scores obtained from international rating tools (LEED-ND, GBI for Township, and PCRS) and local rating tools (ECOVILLAGE and TEEAM). The overall validation results show that LoDAT-SH scores are highly correlated to the selected rating tools for most indicators measuring low carbon development and community participation.To  examine  the  reliability  and  usefulness  of  LoDAT-SH,  the  tool  was  tested using 43  residents  from two  self-help  housing. Reliability  test  was primarily  focused  on  the agreement  between  the  LoDAT-SH  scores  given  by  two  groups  of  self-help  residents  and trained  raters.  Through  four  statistical  methods  of  percentage  of  agreement,  Pearson{u2019}s Correlation,  T-Test,  and  intra-class  correlation,  the  reliability  results  show  good  level  of agreement between two groups for the majority of LoDAT-SH indicators. The questionnaire survey was employed to elicit the participants{u2019} opinions about the usefulness of LoDAT-SH. The results of usefulness test show the positive response for the overall assessment of LoDAT-SH from the end-users.The  application  of  LoDAT-SH  to  test  its  applicability,  validity,  reliability,  and  usefulness shows that LoDAT-SH is a simple, practical, and useful tool for assessing housing design by self-help  housing  residents.  It  also  provides  reliable  and  valid  assessment  results  due  to  the systematic process for developing the tool. The use of LoDAT-SH in participatory planning process helps to incorporate two critical issues of climate change in self-help housing design and  potentially  increases  the  ability  of  self-help  residents  to  create  low  carbon  and  disaster resilient settlements. The methodology used in this research should therefore be replicated and improved for developingLoDAT-SH that is suitable for different climates and disasters.</subfield>
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