SHORT-TERM DEMAND FOR SPECIALIZED TRANSPORTATION: TIME-SERIES MODEL

This study focuses on the temporal variation of specialized transportation (for the handicapped) monthly ridership. It demonstrates the superiority of intervention models for time-series analysis over regression models in the analysis of data collected over a period of time. Postmodeling analysis accurately determined months with ridership minimums and peaks. The methodology will be of interest to planners of specialized transportation as well as to those concerned with other short-term predictions from time-seires data, whether they be transit ridership volumes, traffic volumes, traffic accident temporal and spatial fluctuations, or 85th percentile free-moving traffic speed fluctuations on highways.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8674831
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • Vaziri, M
  • Hutchinson, J
  • KERMANSHAH, M
• Publication Date: 1990-1

Media Info

• Features: Appendices; Figures; References; Tables;
• Pagination: p. 105-121
• Serial:
  • Journal of Transportation Engineering
  • Volume: 116
  • Issue Number: 1
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-947X
  • Serial URL: https://ascelibrary.org/journal/jtepbs

Subject/Index Terms

• TRT Terms: Mathematical models; Persons with disabilities; Ridership; Time series analysis; Traffic speed; Traffic volume; Transportation planning; Travel demand
• Uncontrolled Terms: Models
• Old TRIS Terms: Special service
• Subject Areas: Highways; Planning and Forecasting; Public Transportation; Society; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00491119
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Feb 28 1990 12:00AM