TRAVEL DEMAND MODELING OF AUTOMATED SMALL VEHICLE TRANSIT ON A UNIVERSITY CAMPUS

Automated Small Vehicle Transit (ASVT) is a subclass of automated people movers which uses small vehicles, typically holding 2 to 4 passengers, on a closed network to transport people directly from their origin to destination without stopping at intermediate stations. This paper assesses how the implementation of ASVT would impact the mobility practices of students, faculty and staff on the campus of Kansas State University in Manhattan, Kansas. A methodology for comparing the before and after impact of a proposed installation of a new transit system is developed based on concepts derived from traditional highway travel demand modeling. The methodology was extended to include pedestrian, parking and transit networks. Using this model, the existing mobility practices at KSU are compared and contrasted with predicted mobility practices with an ASVT. The methodology allows vehicles, pedestrians and transit to interact and compete for mobility choices. A transportation demand model was constructed using data from the university, including building usage statistics. The multi-mode model includes a network that reflects the necessary interaction between vehicles, pedestrians and parking as well as transit components. The model was iterated over a range of specifications such as extent of system, speed and capacity. Result showed that an ASVT system was found to reduce variability of travel time by a factor of four. ASVT scenarios depicting the relative area that can access a facility in a given timeframe showed an increase in accessible area between two and six times greater than the current transportation system.

Language

  • English

Media Info

  • Features: Appendices; Photos; Tables;
  • Pagination: 17p
  • Monograph Title: MID-CONTINENT TRANSPORTATION RESEARCH SYMPOSIUM (AMES, IOWA, AUGUST 21-22, 2003). PROCEEDINGS

Subject/Index Terms

Filing Info

  • Accession Number: 00964692
  • Record Type: Publication
  • ISBN: 0965231062
  • Files: TRIS
  • Created Date: Oct 12 2003 12:00AM