A SYSTEMS APPROACH OF OPTIMAL BUS NETWORK DESIGN

This report reflects the view that one possible way to improve planning efficiency is to provide the planner with better coordination with decision-makers and with a systematic framework for the bus network design. The purpose of this research is to present a new approach for bus network design. The proposed framework is comprised of four sub-models: attitude model, network generating model, prediction model, and evaluation model. This proposed framework is implemented on a macro-modeling basis. That is, a systems approach of bus network design in which a city is first modeled and bus routes are then fitted into this urban network of nodes and links. This macro-modeling approach is contrary to the street by street modeling of bus routes. Development priorities for various type of bus routes are derived from the socioeconomic characteristics of nodes along the route. In this report, sample applications of this new approach to bus network design are presented using both theoretical viewpoints and empirical analyses. An example of applying the proposed methodology to the Denver area is given to illustrate the operational characteristics of the framework. This study concludes that the proposed approach is a workable one and will be a help to planners in improving the efficiency of transit planning.

  • Supplemental Notes:
    • Prepared in cooperation with Illinois Inst. of Tech., Chicago.
  • Corporate Authors:

    University of Colorado, Denver

    Center for Urban Transportation Studies, 1100 14th Street
    Denver, CO  United States  80202

    Illinois Institute of Technology

    3300 South Federal Street
    Chicago, IL  United States  60616-3793

    Urban Mass Transportation Administration

    400 7th Street, SW
    Washington, DC  United States  20590
  • Authors:
    • Hsu, J
    • Surti, V H
  • Publication Date: 1975-9

Media Info

  • Pagination: 107 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00155402
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Report/Paper Numbers: RR-19, UMTA-WI-11-0002-77-2
  • Files: NTIS, TRIS, USDOT
  • Created Date: Aug 4 2002 12:00AM