An Accelerating Walkway System (AWS) is a high capacity, continuously available mode of transportation that has the potential of filling the level of service gap between walking or conventional moving walkways and conventional vehicular transit systems. The purpose of this Times Square-Grand Central Station case study is to analyze and determine the economic feasibility of an AWS in an urban application with a high passenger demand. It is not the intention of this study to examine the feasibility of replacing the existing rail shuttle system with an AWS. The two types of AWS analyzed were a one-directional reversible linear and a two-directional loop. The study showed that the systems analyzed are capable of carrying the existing high passenger demand of approximately 6,500 per peak hour and 90,000 per day, and of providing a good level of service. The level of service in terms of total travel time provided by the 732-meter AWS will be similar to that of the existing shuttle system during peak hours and better during off-peak hours. The report points out that a major advantage of the AWS is that it is continuously available and the waiting time is minimized. Total capital and Operating and Maintenance (O&M) costs, total cost per passenger, and total cost per place provided for the potential AWS are summarized in the report.

  • Corporate Authors:

    Mitre Corporation

    Metrek Division, 1820 Dolley Madison Boulveard
    McLean, VA  United States  22102

    Urban Mass Transportation Administration

    Office of Tech Development & Deployment, 400 7th Street, SW
    Washington, DC  United States  20590
  • Authors:
    • Chung, Chung Choo
  • Publication Date: 1978-12

Media Info

  • Pagination: 46 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00314085
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Report/Paper Numbers: MTR-7988 Final Rpt., UMTA-VA-06-0041-78-3
  • Contract Numbers: DOT-UT-50016
  • Files: NTIS, TRIS, USDOT
  • Created Date: Aug 5 1980 12:00AM