AI SearchAssessment of the factors affecting air domestic passenger demand in Thailand
Call Number: AIT Thesis no.TE-24-05 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. TE-24-05Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2025Description: 141 leaves : ill.+ 1 online resourceSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asian Institute of Technology, 2025 Summary: 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.
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Asian Institute of Technology Library Archives | AIT Thesis no.TE-24-05 (Browse shelf(Opens below)) | 1 | Not for loan |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Transportation Engineering
Thesis (M.Eng.) - Asian Institute of Technology, 2025
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.
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