Abstract. In 2015, the ASEAN Economics Community (AEC) will be fully implemented, and, to pave the way for Thailand to be the tourism hub of Southeast Asia, it is important to study factors affecting tourist satisfaction. The emphasis of this study is on a northern province in Thailand, Chiang Mai, where there are many natural and cultural attractions. The significant factors are identified using statistical techniques. The data is obtained from a satisfaction survey as it was developed and distributed randomly to foreign tourists who visit Chiang Mai. The quantitative data is then analyzed using factor analysis and multiple regression analysis to identify significant factors. The result indicates that the most significant factor affecting the overall satisfaction is the cost of staying, and other significant factors are hospitality, attractions and accessibility, and infrastructure. In addition, policy recommendations are presented in the paper.

SUANMALI, SUTHATHIP. On the Relationship between the Class of a Lie Algebra and the Classes of its Subalgebras. (Under the direction of Ernie L. Stitzinger.)A classical nilpotency result considers finite p-groups whose proper subgroups all have class bounded by a fixed number n. We consider the analogous property in nilpotent Lie algebras. In particular, we investigate whether this condition puts a bound on the class of the Lie algebra. Some p-group results and proofs carry over directly to the Lie algebra case, some carry over with modified proofs and some fail. For the final of these cases, a certain metabelian Lie algebra is constructed to show a case when the p-groups and Lie algebra cases differ.

The expansion of rigid pavement network under the responsibility of the Department of Rural Roads (DORR) has driven DORR to initiate the development of Rigid Pavement Maintenance System (RPMS). The developed system is aimed to analyze concrete or rigid pavement conditions, select the most appropriate treatment technique, and prioritize importance of the maintenance to be performed on different road sections in order to optimize the DORR's limited maintenance budgets. The system consists of two modules: Pavement Condition Index (PCI) Module and Optimization Module. Deterioration data, obtained from the visual roads survey of pavement conditions, are collected and analyzed using the PCI Module. The Optimization Module allows the DORR to effectively arrange the maintenance for all concrete pavement sections. In addition, the rigid pavement performance criteria and the maintenance budget planning are discussed in this paper.

Abstract. The development of tourism in Thailand relies on the development of appropriate infrastructure. Road access is the key infrastructure issue for tourist destinations throughout Thailand. Each year Thailand has welcomed over 15 million travelers, accounted approximately 7% of GDP. To support tourist activities, variety types of transportation modes have designed. However, road transportation is one of the most effective modes that connect most places together. Beside high-standard vehicles, road is another mechanism that derive comfort and safety of travelling. For this reason, Motorway networks were initiated and constructed to support high speed traffic with high safety and standard. Motorway route 7 is one of major motorway networks that lies between major cities and tourist landmarks. To raise the road standard could be the key to support tourist industry and economic growth. The road developments may not be precise and accurate without knowing the needs from road users'. Therefore, a questionnaire is developed and distributed to 890 randomly selected road users along Motorway route 7. Factor analysis and t-test are employed to analyze the factors affecting road users' satisfaction and to compare the satisfaction level between both inbound and outbound travelers.

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