Open Access
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
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) [CrossRef] [Google Scholar]
  22. P. Arnold, P. Dominique, I. Thomas, Modelling a rail/road intermodal transportation system, Transportation Research Part E, 40: 255-270 (2003) [CrossRef] [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), [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) [CrossRef] [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]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.