(success)
TH
EN
A-
A+
A-
A+

School of Management

The School is one of the leading business schools in the region, offering extensive and diverse courses, using modern teaching approaches to ensure the utmost benefit to the students, and also providing a high amount of exchange opportunities to many of its partner institutions.


List of All Study Programmes

  • Bachelor’s Degree
    • Accounting
    • Business Management
    • Economics
  • Master’s Degree
    • Business Administration
    • International Logistics and Supply Chain Management
  • Doctoral Degree
    • Business Administration

 

Asst. Prof. Dr. Tosporn Arreeras

Asst. Prof. Dr. Tosporn Arreeras

Lecturer in Logistics and Supply Chain Management

Tel: +66 (0) 5391 6696
E-mail: tosporn.arr@mfu.ac.th

Education

  • Ph.D.       Civil Engineering, Muroran Institute of Technology, Japan
  • M.Eng.     Civil Engineering, King Mongkut’s University of Technology North Bangkok, Thailand  
  • B.Eng.      Transportation Engineering, Suranaree University of Technology, Thailand

         
Speciallization

  • Urban and transport planning
  • ITS
  • Tourism and destination management
  • Logistics
Awards/Publications

Arreeras, T., Chongutsah, S., Asada, T., & Arimura, M. (2020). Factors Affecting Mode Choice in Accessing Railway Station Study in Nakhon Ratchasima. Transportation Research Procedia, 48, 3457-3468.


Okumura, K., Ogoshi, T., Asada, T., Arimura, M., & Arreeras, T. (2020). Development of downscaling method using the RBF network assessing the hourly population inflow: A case study of the Sapporo urban area. Asian Transport Studies, 6, 100019.

Arreeras, T., Arimura, M., Asada, T., & Arreeras, S. (2019). Association Rule Mining Tourist-Attractive Destinations for the Sustainable Development of a Large Tourism Area in Hokkaido Using Wi-Fi Tracking Data. Sustainability, 11(14), 3967.


ARREERAS, T., ENDO, M., TAKAHASHI, H., ASADA, T., & ARIMURA, M. (2019). An Association Rule Mining-Based Exploration of Travel Patterns in Wide Tourism Areas using A Wi-Fi Package Sensing Survey. Journal of the Eastern Asia Society for Transportation Studies, 13, 1099-1113.


Arreeras, T., Kanbe, M., Asada, T., & Arimura, M. (2018). Analysis of Travel Time Reliability on Road Hierarchy in Winter Traffic Conditions using ETC2.0 Probe Data. In proceeding of the 16th ITS Asia-Pacific Forum FUKUOKA 2018, Fukuoka, Japan, May 8-10, 2018, pp 0156-0167.

Back to main

Contact School


School of Management

Mae Fah Luang University

333 Moo1, Thasud, Muang, Chiang Rai 57100
0 5391 6695
0 5391 6694
management@mfu.ac.th
http://management.mfu.ac.th