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  <titleInfo>
    <title>Assessment of the factors affecting air domestic passenger demand in Thailand</title>
  </titleInfo>
  <name type="personal">
    <namePart>Parnrawee Areepoonsiri</namePart>
    <role>
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  <name type="personal">
    <namePart>Kunnawee Kanitpong</namePart>
    <role>
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    </role>
  </name>
  <name type="personal">
    <namePart>Ampol Karoonsoontawong</namePart>
    <role>
      <roleTerm type="text">Co-Chairperson</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Bhatt, Ayushman</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
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  <name type="personal">
    <namePart>Hadikusumo, Bonaventura H.W.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
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  </name>
  <name type="corporate">
    <namePart>Loom Nam Khong Pijai (GMS)</namePart>
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      <roleTerm type="text">Scholarship Donor</roleTerm>
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  <genre authority="marc">technical report</genre>
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    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>continuing</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>This study aims to examine the factors influencing domestic air travel demand in Thailand by utilizing a balanced panel dataset covering 28 airports nationwide from  2012 to 2022. The objective is to identify the key determinants that shape passenger  demand for domestic flights. Two econometric techniques are employed: the Random  Effects Model, which captures structural variables that remain constant over time, and  the Arellano{u2013}Bond Generalized Method of Moments, which addresses potential  endogeneity and reflects the dynamic behavior of air passengers. The results from the  Random Effects Model reveal that airport accessibility, industrial estate presence, and  gross provincial product per capita exert significant positive effects on passenger  volumes, while distance from city centers negatively affects demand. In addition,  consumer price index, hotel occupancy rate, foreign tourism revenue, exchange rate,  and jet fuel prices also play important roles in shaping domestic air travel demand. In  contrast, the dynamic model indicates that only domestic tourism volume and exchange  rate are statistically significant, highlighting the influence of short-term travel patterns  and currency fluctuations on passenger behavior. These findings provide empirical  evidence to support the formulation of aviation policies that are both economically  adaptive and spatially inclusive. Enhancing ground transportation connectivity,  managing volatility in fuel and energy prices, and investing in infrastructure that aligns  with regional conditions are all critical strategies to promote a more balanced and  efficient air transport network in Thailand. The insights generated from this study offer  valuable guidance for policymakers and transport authorities seeking to integrate  aviation planning with broader national development objectives. </abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Transportation Engineering</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 2025</note>
  <subject authority="lcsh">
    <topic>Aeronautics, Commercial</topic>
    <geographic>Thailand</geographic>
    <topic>Passenger traffic</topic>
    <topic>Econometric models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Aeronautics, Commercial</topic>
    <geographic>Thailand</geographic>
    <topic>Planning</topic>
  </subject>
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    <titleInfo>
      <title>Thesis;  no. TE-24-05</title>
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      <namePart>Asian Institute of Technology.</namePart>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B23370</identifier>
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