This research aims to assess the impact of traffic jams and weather problems on tourism in Bangkok. Thailand by employing monthly data from July 2018 to December 2023. The tourism factor is represented by the number of international guest tourists at accom modation establishments in Bangkok. The traffic problems are expressed in the highest and lowest quantities, and the weather factors are represented by the highest temperature, the lowest temperature, and the quantity of rainfall factors for Bangkok in the analysis. This study employs the Autoregressive Distribution Lag (ARDL) method for the estimation. The long -run results reveal that the highest level of traffic is in the opposite direction to the tourism factor and is in the same direction as the lowest level of traffic while the highest temperature is in the same direction as the tourism factor and has a positive relationship with the lowest temperature. However, there is no relationship between rainfall and the tourism factor. Therefore, the government should resolve traffic problems in Bangkok by improving the flow of traffic throughout.

JEL Codes: L83, R41, Q54

Keywords: Tourism, Bangkok, Traffic jams, Weather.