• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
    • Abstracting/ Indexing:  CNKI, Google Scholar, Crossref
    • Article Processing Charge (APC): 500 USD
    • E-mail: joebm.editor@gmail.com
HOME > Archive > 2026 > Volume 14 Number 1 (2026) >
JOEBM 2026 Vol.14(1): 70-74
DOI: 10.18178/joebm.2026.14.1.911

Integrated Transportation Planning to Enhance Tourism Industry: A Case Study of Northeastern Thailand

Panchalee Praneetpholkrang
School of Management Technology, Institute of Social Technology, Suranaree University of Technology, Nakhon Ratchasima, Thailand,
Email: panchalee@sut.ac.th (P.P.)

Manuscript received November 14, 2025; accepted December 2, 2025; published February 27, 2026.

Abstract—The tourism sector connects travelers, tourist attractions, and services provided by affiliated tourism organizations. These factors are interconnected via logistics and transportation operations. Effective design of tourism networks is crucial for supporting travelers and augmenting revenue opportunities for any destination. It might enhance tourism and foster income-generating prospects for each site. This study uses transportation optimization techniques to identify the most effective approach to improving the tourism sector. The transportation planning models aim to minimize the overall travel distance to the locations and to determine routes that optimize the average rating score of attractions in the lower northeastern area of Thailand. The results of this study may assist governmental bodies and organizations in promoting travel routes and formulating plans to enhance the tourist sector in case study areas moving forward.
 
Keywords—tourism logistics, optimization, transportation network, shortest path

Cite: Panchalee Praneetpholkrang, "Integrated Transportation Planning to Enhance Tourism Industry: A Case Study of Northeastern Thailand," Journal of Economics, Business and Management, vol. 14, no. 1, pp. 70-74, 2026.

Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

 
PREVIOUS PAPER
Sustainable Business Study and Its Presentation on the Social Network Instagram
NEXT PAPER
How Artificial Intelligence Empowers Corporate Green Innovation: Mechanism and Evidence from China’s Manufacturing Industry
Copyright © 2013-2026. Journal of Economics, Business and Management. Unless otherwise stated.
E-mail: joebm.editor@gmail.com