Abstract The persistence of environmental problems in urban areas and the prospect of increasing congestion have precipitated a variety of new policies in the USA, with concomitant analytical and modeling requirements for transportation planning. This paper introduces the Sequenced Activity-Mobility Simulator (SAMS), a dynamic and integrated microsimulation forecasting system for transportation, land use and air quality, designed to overcome the deficiencies of conventional four-step travel demand forecasting systems. The proposed SAMS framework represents a departure from many of the conventional paradigms in travel demand forecasting. In particular, it aims at replicating the adaptative dynamics underlying transportation phenomena; explicitly incorporates the time-of-day dimension; represents human behavior based on the satisficing, as opposed to optimizing, principle; and endogenously forecasts socio-demographic, land use, vehicle fleet mix, and other variables that have traditionally been projected externally to be input into the forecasting process.
The sequenced activity mobility simulator (SAMS): an integrated approach to modeling transportation, land use and air quality
Transportation ; 23 , 3
1996
Aufsatz (Zeitschrift)
Englisch
Land Use, Air Quality, and Transportation Integrated Modeling Environment (LATIME)
British Library Conference Proceedings | 1995
|Florida Activity Mobility Simulator
Transportation Research Record | 2005
|FAMOS: Florida Activity Mobility Simulator
British Library Conference Proceedings | 2005
|Transportation, Land Use, and Air Quality Modeling
British Library Conference Proceedings | 1998
|