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  <titleInfo>
    <title>Assessing the Urban Fire Vulnerability by Using Remote Sensing and GIS for East District of Yangon Region in Myanmar</title>
  </titleInfo>
  <name type="personal">
    <namePart>Thiri Maung</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Nagai, Masahiko</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Tripathi, Nitin Kumar</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Kim, Sohee Minsun</namePart>
    <role>
      <roleTerm type="text">Examination committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Apichon Witayangkurn</namePart>
    <role>
      <roleTerm type="text">Examination committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Thailand International Development Cooperation Agency (TICA)</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2016</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <abstract>Urban  fire  is usually threatening  to  the  physical  and  economical  gains  as  well  as  to  the sustainable  development  of  the  city  and  it  can  draw  back the  existing  infrastructures and economic development. The study area  of this research, Yangon City is being challenged of the urban  fire in  yearly. This research mainly focused on the  assessment  of the urban fire vulnerability  due  to  the  housing  factors especially  in  construction  materials  and  energy sources for lighting and cooking along with building density in different temperature, rainfall and relative humidity for different months. The geo-coding for the past urban fire incidences made a digital and spatial database for the urban fire incidence records in the study area. This study has analysed the seasonal trend of past urban fire incidences to detect the peak season of the urban fire within the study area. In  this  study,  the  level  of  urban  fire vulnerability  was  identified by  applying the  housing factors of different types of construction materials for external wall type, floor type, roofing type, and different sources of energy for lighting and cooking as the urban fire vulnerability index by using Analytical Hierarchy Process (AHP) to gain the relative importance of each factors. Moreover, as the building density is one of the most important contributing factors not  only  to  the  urban  fire  but  also  to  the  other  urban  development  and  management, the building footprints detection was necessary. That{u2019}s why the building footprints for the study area were detected from the Bing Maps satellite images by using the in-house program for the automated building footprints detection that has been developed by the Centre of Spatial Information   Science   from   the   University   of   Tokyo was   applied. Additionally,   the relationship  between  the  urban  fire  incidences  and  the  climatic  conditions  especially  the temperature, rainfall and mean relative humidity has been analyzed. Finally, the result for the urban fire vulnerability was detected by means of raster and vector data analysis method in GIS. The potential area for urban fire vulnerability with five different levels has been predicted based on the housing factors of the urban fire vulnerability index, building density and climatic conditions by applying the method of AHP.</abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information Systems</note>
  <note>Thesis (M. Sc.) - Asian Institute of Technology, 2016</note>
  <subject authority="lcsh">
    <topic>Fire</topic>
    <topic>Remote sensing</topic>
    <geographic>Myanmar</geographic>
    <geographic>Yangon</geographic>
  </subject>
  <subject authority="lcsh">
    <topic>Remote Sensing</topic>
    <geographic>Myanmar</geographic>
    <geographic>Yangon</geographic>
  </subject>
  <subject authority="lcsh">
    <topic>Geographic information system</topic>
    <geographic>Myanmar</geographic>
    <geographic>Yangon</geographic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Thesis;  no. RS-16-10</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
  </relatedItem>
  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B03922 </identifier>
  <location>
    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B03922 </url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">190401</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260817163458.0</recordChangeDate>
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