1 / 13

SCAG Transportation Model Improvement Status Report - March 2005

This status report presented to the Southern California Association of Governments outlines key advancements in the SCAG Travel Model Improvement initiative. It covers the completion of trip generation and vehicle availability models, the progress of external trip models and mode choice development, and the ongoing work in trip distribution modeling. The report details the use of Census PUMS for household classification, including joint distributions of socio-economic data. Additionally, it discusses the methodologies used in trips estimation, validation tests, and the completion timeline for various modeling components.

stian
Télécharger la présentation

SCAG Transportation Model Improvement Status Report - March 2005

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. SCAG Travel Model Improvement Transportation leadership you can trust. Modeling Task Force Meeting presented toSouthern California Association of Governments presented byMaren Outwater, Cambridge Systematics, Inc. March 23, 2005

  2. Status Report • Model development • Trip generation and vehicle availability (complete) • External trip models (complete) • Mode choice (underway) • Trip distribution (underway) • Model implementation and validation • Targets (complete) • Trip Generation (complete) • Trip Distribution and Mode Choice (underway)

  3. Household Classification Models • Uses Census PUMS joint distribution of households to create joint distributions of SCAG socioeconomic data from marginal distributions • Estimates joint distributions of households • Workers/HH (4) by Age of Head of HH (4) by Household Size (4) • Persons/HH age 18-24 (3) by Income Group (4) • Persons/HH age 5-17 (4) • Persons/HH (4) by Income Group (4) • Workers/HH (4) by Income Group (4) by Household Size (4)

  4. Trip Purposes Other-Based Other Home-Based Work, Direct 18% (21%) 16% (14%) Home-Based Work, Strategic Work-Based Other 4% (2%) 3% (11%) Home-Based School Home-Based Other 8% (9%) 16% (20%) Home-Based University/College Home-Based ServePassenger 11% 2% (3%) Home-Based Shopping Home-Based SocialRecreational 10% (9%) 11% (10%) Percent of Total Trips (2000 Model Validation)

  5. Trip Generation Results

  6. Trip Rates by Person

  7. External Trips • Expanded to match traffic counts • Estimated by time of day, mode and purpose • Person trips estimated from occupancy counts • Internal-external person trips subtracted from trip generation model

  8. Trip Distribution • Calibrate new friction factors by trip purpose and time period (peak/off-peak) • Intermediate stop choice models will allocate home-based work strategic trips to intermediate stops after mode choice • Validation tests will include • Trip length frequency distributions • County to County trip tables • Percent of intra-zonal trips

  9. Mode Choice • Compiled Six Surveys into a Single Estimation Dataset • Weighted using Weighted Exogenous Sampling Maximum Likelihood (WESML)

  10. Trip Purposes in Mode Surveys

  11. Socioeconomic Data in Mode Surveys

  12. Mode Choice Model Development • Complete testing of level of service and demographic variables • Complete testing of model structure and nesting • Review and update models for FTA requirements

  13. Project Completion • March-April • Complete Mode Choice Model Estimation • Calibrate Trip Distribution Models • Estimate Intermediate Stop Choice Models • May • Peer Review Panel Meeting • Implement New Mode Choice Models • Calibrate Mode Choice Models

More Related