COMPARATIVE DEMAND ESTIMATION MODELS FOR PERIPHERAL PARK-AND-RIDE SERVICE

In this study, the usage of peripheral park-and-ride transit service is viewed as a modal split problem between the transit mode and the auto mode. Three types of demand estimation tools are investigated, namely the aggregated linear models, the aggregated non-linear models and the disaggregated non-linear models. These models are developed based on information from a license plate survey conducted in the two peripheral park-and-ride lots in Albany, New York. Results of this study indicate that the linear models yield the largest estimation errors and sometimes produce negative estimations of transit usage. On the other hand, the non-linear models appear to have more reliable predictive ability. A comparison is also made between the aggregated non-linear modelling approach and the disaggregated non-linear modelling approach, and their suitablity in predicting park-and-ride demand of potential service lots. /Author/

• Corporate Authors:

  New York State Department of Transportation

  Planning Division, State Campus, Building 4
  Albany, NY  United States  12232
• Authors:
  • Liou, P S
• Publication Date: 1974-9

Media Info

• Features: References; Tables;
• Pagination: 21 p.

Subject/Index Terms

• TRT Terms: Complex variables; Estimating; Mathematical models; Nonlinear systems; Park and ride; Travel demand
• Uncontrolled Terms: Models
• Subject Areas: Highways; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 00179056
• Record Type: Publication
• Report/Paper Numbers: Res. Rpt. 71
• Files: TRIS, STATEDOT
• Created Date: Aug 19 1981 12:00AM