International Logistics and Supply Chain Management http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/157 2026-04-19T15:44:47Z 2026-04-19T15:44:47Z Wang, Xiaozhi http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1672 2026-04-09T04:56:47Z 2021-01-01T00:00:00Z

The study of racecourses site selection - A case study of Hainan province, China Wang, Xiaozhi Pornwasin Sirisawat Thesis (M.B.A.) -- International Logistics and Supply Chain Management, School of Management. Mae Fah Luang University, 2021

2021-01-01T00:00:00Z Wei Li http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1657 2026-04-09T03:23:21Z 2024-01-01T00:00:00Z

A study of supply chain trust and consumer behavior in social commerce: An extended theory of planned behavior analysis in Thailand's digital marketplace Wei Li Tosporn Arreeras Thesis (M.B.A.) -- International Logistics and Supply Chain Management, School of Management. Mae Fah Luang University, 2024

2024-01-01T00:00:00Z Chanyanuch Pangderm http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1252 2025-12-15T07:21:13Z 2025-01-01T00:00:00Z

A study on school trip mode choice in Chiang Rai city area using a multinomial logit regression approach Chanyanuch Pangderm Tosporn Arreeras This study investigates school trip mode choice behavior among senior high school students in Mueang Chiang Rai District, Thailand, with a focus on environmental conditions, particularly adverse weather, that influence transportation decisions. Given Chiang Rai’s unique geographic and climatic context, characterized by seasonal haze and limited transport infrastructure, understanding students' commuting preferences is critical for designing sustainable and equitable school transportation systems. This research collected data from 472 student respondents across six extra-large schools using structured questionnaires. The analysis employed both Multinomial Logit (MNL) regression and Exploratory Factor Analysis (EFA) to examine the relationship between travel behavior and influencing factors. The findings reveal motorcycles as the most common mode under normal weather conditions, while adverse weather significantly reduces their use, with a corresponding increase in private vehicle and school bus usage. Key determinants of mode choice include household vehicle ownership, income, travel distance, waiting time, and perceived safety. The EFA identified latent variables such as convenience, environmental satisfaction, and transport reliability that further shape behavior. These insights suggest the need for resilient school transport policies that address equity and environmental sustainability. Strategies such as expanding formal school bus services, improving weather-protected infrastructure, and promoting active travel for short-distance students are recommended. The study highlights the importance of integrating behavioral modeling with local policy to improve transport accessibility for students in secondary urban regions of Thailand. Thesis (M.B.A.) -- International Logistics and Supply Chain Management, School of Management. Mae Fah Luang University, 2025

2025-01-01T00:00:00Z Ramill Phopluechai http://mfuir.mfu.ac.th:80/xmlui/handle/123456789/1152 2025-09-30T10:41:40Z 2025-09-30T00:00:00Z

Assessing changes in travel mode choice preferences during smog crisis: evidence from Chiang Rai Ramill Phopluechai Tosporn Arreeras This study explores how smog crisis events influence travel mode choices in Chiang Rai, Thailand. As seasonal air pollution becomes more severe, understanding its impact on urban mobility is essential for public health and transportation planning. Using data from 406 respondents, this research compares travel behavior during non-air quality crisis and air quality crisis. A mixed methods approach was employed, integrating Multinomial Logit Model (MNL) and Exploratory Factor Analysis (EFA) to identify key behavioral and perceptual factors influencing mode selection. Results reveal that during air quality crisis, motorcycle usage declines while the use of private cars and alternatives increases, reflecting a preference for enclosed and flexible transport options. EFA identified five latent constructs Mode Choice, Health and Constraint, Social Recommendation, Perceived Behavioral Control, and Service Improvement that shape individual decisions. Regression analysis confirmed that income, travel cost, health concerns, and trip frequency play more significant roles under poor air quality. These findings provide critical insights for designing adaptive transport policies that prioritize safety, accessibility, and sustainability during environmental crisis in secondary cities like Chiang Rai. Thesis (M.B.A.) -- International Logistics and Supply Chain Management, School of Management. Mae Fah Luang University, 2025

2025-09-30T00:00:00Z