Open Access
Issue
MATEC Web Conf.
Volume 312, 2020
9th International Conference on Engineering, Project, and Production Management (EPPM2018)
Article Number 02008
Number of page(s) 9
Section Theories and Applications of Project Management
DOI https://doi.org/10.1051/matecconf/202031202008
Published online 03 April 2020
  1. P. Luathep, S. Jaensirisak, S. Saengpradab, The impact of transport infrastructure development on modal shift: case study of rubber goods in the southern Thailand, KKU Engineering Journal, 43: 225-227 (2016) [Google Scholar]
  2. USDA, Thailand Exporter Guide, United States Department of Agriculture (2017) [Google Scholar]
  3. BOI, Thailand’s Rubber Industry, Bangkok: Thailand Board of Investment (2017) [Google Scholar]
  4. CPD, Direction of Thai Rubber Industry in the ASEAN (in Thai), Bangkok: Cooperative Promotion Department (2015) [Google Scholar]
  5. W. Timaboot, N. Suthikarnnarunai, Designing the Distribution Network in a Cassava Supply Chain in Thailand, Marketing and Branding Research, 4, 206-216 (2017) [CrossRef] [Google Scholar]
  6. B. Polyiam, The Study of Cost and Time of Rice Transportation: Export Route from Nakhonsawan (in Thai), The 9th Logistics and Supply Chain Conference (ThaiVCML2009), Thailand, 2009. [Google Scholar]
  7. G. Muller, Intermodal Freight Transportation (3rd ed.). Westport, Connecticut: Eno Transportation Foundation (1995) [Google Scholar]
  8. M. SteadieSeifi, N.P. Dellaert, W. Nuijten, T. Van Woensel, R. Raouf, Multimodal Freight Transportation Planning: A Literature Review. European Journal of Operational Research, 233:1-15 (2013) [Google Scholar]
  9. Thai government, Thailand’s Transport Infrastructure Development Strategy 2015-2022, Bangkok: Thai government (2015) [Google Scholar]
  10. K. Tanachodrungsatis, Efficiency and Effectiveness of Thai Rice Transportation Logistic: A Case Study Transportation Route from Nakornsawan Province to Foreign Countries, Suthiparithat Journal, 28: 309-342 (2014) [Google Scholar]
  11. B.L. Choi, K.Y. Chung, K.D., Lee, The impact of policy measures on promoting the modal shift from road to rail, Personal and Ubiquitous Computing, 18: 1423–1429 (2014) [CrossRef] [Google Scholar]
  12. F. Corman, F. Viti, R.R. Negenborn, Equilibrium models in multimodal container transport systems, Flexible Services and Manufacturing Journal, 29:125–153 (2017) [CrossRef] [Google Scholar]
  13. D. Kritchanchai, W. Chanpuypetch, A Framework for Decision Support Systems in Logistics: A Case Study for Thailand Rubber Exports, International Journal of Logistics and SCM Systems, 3(1): 24-31 (2009) [Google Scholar]
  14. M. Heljedal, Factors Influencing the Choice between Road and Multimodal Transportation, Thesis (Master), Linköping University, Sweden (2013) [CrossRef] [Google Scholar]
  15. E. Kreutzberger, C. Macharis, L. Vereecken, J. Woxenius, Is Intermodal Freight Transport More Environmentally Friendly Than All-Road Freight Transport? A Review, NECTAR Conference No 7, 13-15 June, 2003, Umeå, Sweden (2003) [Google Scholar]
  16. T. Bektas, T.G. Crainic, A Brief Overview of Intermodal Transportation. Canada: Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (2007) [Google Scholar]
  17. K. Roberts, Key Factors and Trends in Transportation Mode and Carrier Selection, Pursuit - The Journal of Undergraduate Research at the University of Tennessee, 4(1): 40-52 (2012) [Google Scholar]
  18. A.C. Paixao-Casaca, P.B. Marlow, Logistics strategies for short sea shipping operating as part of multi-modal transport chain, Maritime Policy and Management, 36(1): 1-19 (2009) [CrossRef] [Google Scholar]
  19. T.L. Butta, M.B. Abegaz, Challenges in the operation of multimodal transport system: The case of Ethiopian shipping and logistics services enterprise, International Journal of Applied Research, 2(7): 927-932 (2016) [Google Scholar]
  20. D.M. Islam, S. Ricci, B.L. Nelldal, How to make modal shift from road to rail possible in the European transport market, as aspired to in the EU Transport White Paper 2011, European Transport Research Review, 8(18): 1-14 (2016) [CrossRef] [Google Scholar]
  21. R. Danielis, E. Marcucci, Attribute Cut-Offs in Freight Service Selection. Transportation Research Part E, 43 (2007) [Google Scholar]
  22. P. Arnold, P. Dominique, I. Thomas, Modelling a rail/road intermodal transportation system, Transportation Research Part E, 40: 255-270 (2003) [Google Scholar]
  23. T. Yu, J.C. Richardson, An Exploratory Factor Analysis and Reliability Analysis of the Student Online Learning Readiness (SOLR) Instrument, The Online Learning Journal (OLJ), 19(5), 120-141 (2015) [Google Scholar]
  24. H.Y. Kim, Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis, Open lecture on statistics, Korea University College of Health (2013) [Google Scholar]
  25. D. Garson, Testing of assumptions (2009), https://faculty.chass.ncsu.edu/garson/PA765/assumpt.htm. [Google Scholar]
  26. B.G. Tabachnick, L.S. Fidell, Using multivariate statistics (6th edition), Boston, MA: Pearson (2013) [Google Scholar]
  27. M. Tavakol, R. Dennick, Post-examination analysis of objective tests, Med Teach., 33: 447-458 (2011) [CrossRef] [Google Scholar]
  28. R. De Vellis, Scale development: theory and applications: theory and application, Thousand Okas, CA: Sage (2003) [Google Scholar]
  29. A.G. Yong, S., Pearce, A Beginner’s Guide to Factor Analysis: Focusing on Exploratory Factor Analysis, Tutorials in Quantitative Methods for Psychology, 9(2): 79-94, (2013) [Google Scholar]
  30. B.G. Tabachnick, L.S. Fidell, Using Multivariate Statistics. 5th ed., New York, NY, U.S.A: Pearson Education Inc (2007) [Google Scholar]
  31. C.K.H. Hon, A.P.C Chan, M.C.H. Yam, Determining safety climate factors in the repair, maintenance, minor alteration, and addition sector of Hong Kong, Journal of Construction Engineering and Management, 139(5): 519-528 (2013) [CrossRef] [Google Scholar]
  32. J.F. Hair Jr., W.C. Black, B.J. Babin, R.E. Anderson, R.L. Tatham, Multivariate data analysis, 7th Ed., Upper Saddle River, NJ: Prentice-Hall (2010) [Google Scholar]

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