LIRR ACCESS MODE/PARKING DEMAND STUDY. FINAL REPORT

This report presents the results of the LIRR Access Mode/Parking Demand Study--Railrider, the LIRR Planning and Forecasting System. The purpose of the project was to provide the LIRR with a modeling capability to forecast the impacts of changes in parking supply, price, and other commuter rail service characteristics on LIRR ridership and on the access mode choice, station choice, and parking lot utilization of LIRR riders. That is, the forecasting procedure would produce results consistent with LIRR operations and capacity. This project developed a microcomputer model of the LIRR network and competing modes that uses a modified stochastic user equilibrium assignment approach to determine the number of LIRR riders and trip characteristics based on specified input data. The model (Railrider) was implemented in a user-friendly Railrider software package. Chapters in this report present an overview of the study approach and methodology; describe the data collection and analysis efforts; outline the structure and operation of the Railrider Forecasting Model; describe the Railrider software; discuss current LIRR conditions regarding ridership, access mode choice, and parking conditions; present Railrider forecast for various scenarios; and provide additional thoughts and perspectives on the Railrider forecasting model. The Railrider model breaks ground in the implementation of a new generation of travel demand forecasting procedures based upon theoretical advances of the last decade. It performs quite well in providing answers to questions that alternative methods failed to address meaningfully.

• Corporate Authors:

  Caliper Corporation

  1172 Beacon Street, Suite 300
  Newton, MA  United States  02461

  Urban Mass Transportation Administration

  400 7th Street, SW
  Washington, DC  United States  20590
• Publication Date: 1987-7-1

Media Info

• Features: Figures; Tables;
• Pagination: 140 p.

Subject/Index Terms

• TRT Terms: Accessibility; Forecasting; Impact studies; Mathematical models; Mode choice; Parking demand; Railroad commuter service; Ridership; Transportation planning; Travel demand
• Identifier Terms: Urban Mass Transportation Act
• Uncontrolled Terms: Models
• Old TRIS Terms: Modal selection; Umta section 9
• Subject Areas: Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 00478260
• Record Type: Publication
• Source Agency: Urban Mass Transportation Administration
• Report/Paper Numbers: UMTA-NY-09-0099-87-1
• Contract Numbers: UMTA-NY-09-0099-87-1
• Files: TRIS, USDOT
• Created Date: Dec 31 1988 12:00AM