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Student Research 2022

International Academy of Aviation Industry

THE FACTORS AND MEASUREMENT THAT INFLUENCE THE SUCCESS OF FUTURE AND ON-GOING AIR-RAIL INTEGRATION

ACADEMIC YEAR 2022

Advisor : Asst. Prof. Waralee Rattanakijsuntorn, Ph.D.

Students :
Benyapa Suwannarat
Chanuwat Nithikittiwat
Nitchamol Samittivate

The existing airport rail link project in Thailand has proven to be an unsuccessful air-rail integration, despite the fact that this type of relationship is favorable, especially for passengers in Europe and Eastern Asia. As there are plans for future airport rail link projects, investment and operational challenges were considered. However, factors associated the success of air-rail integration has not been examined. This research aims to fill such gap by using AHP to quantify the result. The model comprises of four dimensions and ten factors. The average CR value of 0.0464 validates the outputs. It was revealed that time was the leading factor, followed closely by seamless journey while career opportunity has the least significance impact to the success of air-rail integration.

Keywords : air-rail integration, airport rail link, Thailand.

THAI AIR PASSENGERS' TRAVEL BEHAVIOR IN JAPAN AFTER COVID-19 PANDEMIC

ACADEMIC YEAR 2022

Advisor : Narudh Cheramakara, Ph.D.

Students :
Nat Sato
Wattakan Panich
Wichayut Aroonpeng

OPEN TOPIC IN DISTRIBUTION NETWORK MODELING AND A CASE STUDY

ACADEMIC YEAR 2022

Advisor : Piyanee Akkawuttiwanich, Ph.D.

Students :
Chantawat Na Songkhla
Hiran Athipattanon
Yanapatr Kuhapermsub

ATTITUDE AND AWARENESS TOWARD ENVIRONMENTAL ISSUES FROM AVIATION INDUSTRY

ACADEMIC YEAR 2022

Advisor : Narudh Cheramakara, Ph.D.

Students :
Arada Maleng
Yodkhwan Ponakom

EVALUATE THE REQUIREMENTS OF DRONES CAPABILITY IN HUMANITARIAN LOGISTICS ON DELIVERY FOR AID PACKAGES BY USING AHP

ACADEMIC YEAR 2022

Advisor : Asst. Prof. Waralee Rattanakijsuntorn, Ph.D.

Students :
Chatchaya Siriwat
Natthajira Yeh
Nichapat Weeraburus

This article aims to identify and assess the design requirements and capabilities of unmanned aerial vehicles used in the area of humanitarian logistics, particularly for the delivery of aid packages, to alleviate the impact and casualties from natural disaster’s victims in Thailand. Designed restrictions and sub-restrictions were identified from past literature and an expert interview. By applying a multi-criteria decision-making analysis tool, which is the analytical hierarchy process, design restrictions and sub-restrictions was quantified and prioritized. Primary data was collected through private, face-to-face interviews. Respondents are UAV pilots, UAV developers from associated industries, and UAV researcher. The computed outputs revealed that the payload capacity of the UAVs, the weight of aid packages, the flight range, and the battery power capacity were among the sub-restrictions with the highest relative importance, while flight performance is the most important restrictions in the drones’ design requirements. On the contrary, the speed of UAV and the operating cost were the sub-restrictions with the smallest effect.

REDUCING THE UNNECESSARY VARIABLE COST IN LOGISTICS INDUSTRY BY FOCUSING ON PALLET DAMAGES

ACADEMIC YEAR 2022

Advisor : Narudh Cheramakara, Ph.D.

Students :
Danainanth Pornpattarachai

ASSESSMENT OF SMART PORT DEVELOPMENT : A CASE STUDY OF LAEM CHABANG PORT

ACADEMIC YEAR 2022

Advisor : Assoc. Prof. Chalermpong Senarak, Ph.D.

Students :
Chomphunuch Jaroennithichot
Vannasiri Janthapan
Prachatip Boonnoum

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