A Modal Shift Mechanism in Port-Hinterland Transport Based on Shipper’s Choice Behavior

Modal shift is considered a promising way to mitigate port congestion and related issues in port-hinterland transport. A prerequisite for the realization of modal shift is to understand the shifting mechanism. Given that whether the modal shift will be achieved depends on the shipper’s choice behavior; this paper aims to explore the modal shift mechanism from the shipper’s choice behavior. For this purpose, a discrete choice model based on random coefficients logit model is developed to analyze the shipper’s behavior and modal shift mechanism. The data to calibrate the model was collected from a questionnaire survey by using stated preference technique. The result shows that total transport time is the most important factor influencing the modal shift, followed by the total transport time and its fluctuation. It also reveals that lowering the cost of the road-rail combined transport chain may be the most practical and acceptable way to realize the modal shift.

• Record URL:
  https://doi.org/10.1061/9780784479896.188
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784479896
• Supplemental Notes:
  • © 2016 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Tao, Xuezong
  • Wu, Qin
  • Zhu, Lichao
• Conference:
  • 16th COTA International Conference of Transportation Professionals
  • Location: Shanghai , China
  • Date: 2016-6-6 to 2016-6-9
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2076-2089
• Monograph Title: CICTP 2016: Green and Multimodal Transportation and Logistics

Subject/Index Terms

• TRT Terms: Choice models; Modal shift; Ports; Shipping; Stated preferences
• Uncontrolled Terms: Hinterlands
• Subject Areas: Freight Transportation; Marine Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01609298
• Record Type: Publication
• ISBN: 9780784479896
• Files: TRIS, ASCE
• Created Date: Aug 30 2016 9:03AM