01020668

Component

https://doi.org/10.3141/1981-06

http://scholar.google.com...lton&publication_year=2006

Activity-based models are increasingly attractive as alternatives to traditional trip-based travel demand forecasting models because of growing dissatisfaction with the internal consistency, aggregation bias, and lack of detail of trip-based approaches. New policy analysis requirements demand that forecasting models represent travel choices and the contexts in which these travel choices are made with ever-increasing geographic, temporal, and behavioral detail. Activity-based models can incorporate this detail and can provide decision makers with more precise insights into potential outcomes of transportation and land use investment and development strategies. The model of San Francisco, California, is a tour-based microsimulation model that forecasts daily activity patterns for individual San Francisco residents and has been used in transportation planning practice since 2000. The San Francisco model uses the daily activity pattern approach, first introduced by Bowman and Ben-Akiva, within a disaggregate microsimulation framework. This paper describes an application of the San Francisco model to the proposed new Central Subway project in downtown San Francisco. This is the first application of an activity-based travel demand model in the United States to a major infrastructure project in support of a submission to FTA for project funding through the New Starts program. To enable the submittal of a New Starts request, software was developed to collapse the microsimulation output of the tour and trip mode choice models into a format compatible with the FTA SUMMIT program. SUMMIT was then successfully used to summarize and analyze user benefits accruing to the project and to prepare an acceptable New Starts submittal.

01041099

English

pp 24-33

2006

Transportation Research Record: Journal of the Transportation Research Board

0309099919

Print

Figures (7) ; References (6) ; Tables (3)

Activity choices; Choice models; Disaggregate analysis; Infrastructure; Microsimulation; Mode choice; Policy analysis; Transportation planning; Travel behavior; Travel demand; Trip purpose

New Starts Program; U.S. Federal Transit Administration

Activity-based models; Tour-based models

San Francisco (California)

Highways; Planning and Forecasting; Policy; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Mar 3 2006 10:56AM

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