Abstract Information produced by travel demand models plays a large role decision making in many metropolitan areas, and San Francisco is no exception. Being a transit first city, one of the most common uses for San Francisco’s travel model SF-CHAMP is to analyze transit demand under various circumstances. SF-CHAMP v 4.1 (Harold) is able to capture the effects of several aspects of transit provision including headways, stop placement, and travel time. However, unlike how auto level of service in a user equilibrium traffic assignment is responsive to roadway capacity, SF-CHAMP Harold is unable to capture any benefit related to capacity expansion, crowding’s effect on travel time nor or any of the real-life true capacity limitations. The failure to represent these elements of transit travel has led to significant discrepancies between model estimates and actual ridership. Additionally it does not allow decision-makers to test the effects of policies or investments that increase the capacity of a given transit service. This paper presents the framework adopted into a more recent version of SF-CHAMP (Fury) to represent transit capacity and crowding within the constraints of our current modeling software.
Incorporating crowding into the San Francisco activity-based travel model
Transportation ; 39 , 4
2012
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
BKL: | 74.75$jVerkehrsplanung$jVerkehrspolitik / 55.80$jVerkehrswesen$jTransportwesen: Allgemeines / 55.80 Verkehrswesen, Transportwesen: Allgemeines / 74.75 Verkehrsplanung, Verkehrspolitik |
Incorporating crowding into the San Francisco activity-based travel model
Online Contents | 2012
|Incorporating Time Dynamics in Activity Travel Behavior Model
Transportation Research Record | 2013
|A utility-theory travel demand model incorporating travel budgets
Elsevier | 1980
|Incorporating uncertainty into short-term travel time predictions
Elsevier | 2011
|