Lessons Learned from the Implementation of New York Activity-Based Travel Model

The New York Best Practice Model (NYBPM) has been developed and implemented to meet the demand of regional planners seeking a more accurate way to identify transportation requirements and forecast demand on the transportation system. It has been used on many regional studies to simulate travel patterns including where people travel, their modes of travel (car, subway, bus, ferry, walk and bike, or commuter rail), preferred routes (highway versus local roads), and their trip times. NYBPM is an activity-based model that attempts to predict the detailed travel patterns of a diverse population using numerous travel modes. It does this by introducing innovative approaches to the traditional travel demand models including the concept of journey or tour as the unit of travel; microsimulation, which is used to simulate the travel pattern of each person in the region and among all other modes of travel; and nonmotorized modes. NYBPM covers 28 counties and is divided into 3,586 transportation analysis zones. The model analyzes travel patterns by four time periods and eight trip purposes on six highway and four transit modes. The highways of the region are represented in a geographic information system (GIS) with more than 53,000 segments. All available transit modes of the New York metropolitan region ranging from commuter rail to ferries are also coded in GIS. NYBPM was previewed before a national audience in January 2001 during the TRB Annual Meeting in Washington, D.C., and immediately was in wide implementation throughout the region on various projects in different sizes. As one of the first metropolitan planning organizations (MPOs) in the country to develop and implement a new generation of travel demand forecasting models, this paper shares New York Metropolitation Transportation Council’s (NYMTC’s) experience throughout different stages of development and implementation of NYBPM. Immediately after release of the models in 1992, NYMTC’s modeling staff was faced with a series of problems, which are discussed in this paper.

• Record URL:
  • https://nap.nationalacademies.org/catalog/13678
• 
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309113434
• Authors:
  • Chiao, Kuo-Ann
  • Mohseni, Ali
  • Bhowmick, Sangeeta
• Conference:
  • Innovations in Travel Demand Modeling Conference
  • Location: Austin Texas, United States
  • Date: 2006-5-21 to 2006-5-23
• Publication Date: 2008

Language

• English

Media Info

• Media Type: Print
• Pagination: pp 173-176
• Monograph Title: Innovations in Travel Demand Modeling: Summary of a Conference. Volume 2: Papers
• Serial:
  • Transportation Research Board Conference Proceedings
  • Volume: 2
  • Issue Number: 42
  • Publisher: Transportation Research Board
  • ISSN: 1073-1652

Subject/Index Terms

• TRT Terms: Forecasting; Geographic information systems; Implementation; Lessons learned; Microsimulation; Nonmotorized transportation; Transportation modes; Travel demand; Travel patterns
• Identifier Terms: New York Metropolitan Transportation Council
• Uncontrolled Terms: Activity-based models
• Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01121603
• Record Type: Publication
• ISBN: 9780309113434
• Files: TRIS, TRB
• Created Date: Feb 13 2009 4:26PM