Demand Characteristics of the Newly Proposed Kuwait Metro

Traffic models are of foremost importance in the planning of any transportation infrastructure. This importance lies on the ability to predict future behaviour of users. In order to properly study the demand patterns and characteristics of the city of Kuwait, a detailed modelling of these phenomena is required. The purpose of this modelling is to create a useful tool with which to objectively evaluate the alternatives proposed in this paper research. Future demand on the proposed public transport network had been forecasted based on the transportation model developed by Atkins for Colin Buchanan & Partners in the framework of the 3rd Kuwait Masterplan Review. This model, built on a SATURN platform, was translated to a CUBE environment. That initial model, built for a 2003 base year, was then updated to the current situation. The current road network was checked, and amended or completed when necessary, as well as the public transport services.

• Record URL:
  https://doi.org/10.1061/9780784483176.009
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483176
• Supplemental Notes:
  • © 2020 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • AlKheder, Sharaf
  • Abdullah, Waleed
  • Al-Rukaibi, Fahad
  • Al Sayegh, Hussain
• Conference:
  • International Conference on Transportation and Development 2020
  • Date: 2020-5-26 to 2020-5-29
• Publication Date: 2020-8

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 96-107
• Monograph Title: International Conference on Transportation and Development 2020: Rail and Public Transport

Subject/Index Terms

• TRT Terms: Forecasting; Rail transit; Ridership; Subways; Travel demand
• Geographic Terms: Kuwait (Kuwait)
• Subject Areas: Passenger Transportation; Planning and Forecasting; Public Transportation; Railroads;

Filing Info

• Accession Number: 01752127
• Record Type: Publication
• ISBN: 9780784483176
• Files: TRIS, ASCE
• Created Date: Sep 17 2020 5:54PM