NTL Record

Title Vehicle Ownership Forecasts for the San Francisco Bay Area 1990–2030: Based on ABAG Projections 2000 & Projections 2005: Data Summary
Record ID 37963
Source 49p. in various pagings
Corporate Creator California. Metropolitan Transportation Commission
Publisher California. Metropolitan Transportation Commission
Publication Date 20051100
Language English
Abstract The Metropolitan Transportation Commission (MTC) maintains a set of travel demand forecasting models for use in San Francisco Bay Area transportation planning studies. One major component of this model system is an auto ownership choice model. This particular auto ownership model uses demographic data, provided by the Association of Bay Area Governments (ABAG), to produce estimates of households by vehicles in household level. This model also produces estimates of households by number of workers in the household. This technical summary reports MTC auto ownership level forecasts for the 1990-1995 forecast years included in the ABAG’s Projections 2000 database, and all forecast years included in ABAG’s Projections 2005 database (2000, 2005, 2010, 2015, 2020, 2025 and 2030). These auto ownership level forecasts are prepared at MTC’s 1,454 regional travel analysis zone level. Results are summarized and reported at MTC’s 34 superdistrict and nine county level. Superdistricts are aggregations of MTC’s regional travel analysis zones and are used in the analysis of sub-county level demographic and travel forecasts.
Rosap ID dot:39654
Rosap URL https://rosap.ntl.bts.gov/view/dot/39654
TRT Terms Automobile ownership; Traffic forecasting; Travel demand; Traffic estimation; Forecasting; Data tables; Statistics
General Subjects Data and Information Technology; Highways; Planning and Forecasting; Vehicles and Equipment; I90: Vehicles
Geographical
Coverage
San Francisco Bay Area; United States
OCLC 713846370
TRIS Online
Accession No
1020957
Resource type Statistical Report
URL https://ntlrepository.blob.core.windows.net/lib/37000/37900/37963/Vehicle_Ownership_Forecasts_Report_Nov2005.pdf
Format PDF
Database NTL Digital Repository