An Application Study for Travel Demand Forecasting using Behavioral Intention Method

Passenger Travel Demand Forecasting

This paper addresses the importance of travel forecasting, the general direction of emerging forecasting methods, the importance of integrating land use and transportation forecasting, and this committee’s relationship to other committees at the Transportation Research Board (TRB). In particular, the movement from trip-based to activity-pattern or activity-scheduling methods of modeling is emph...

A Dynamic Microsimulator for Travel Demand Forecasting

is one of ten regional units mandated by Congress and established in Fall 1988 to support research, education, and training in surface transportation. The UC Center serves federal Region 1X and is supported by matching grants from tile U. Angeles: and several academic departments at the Berkeley, Davis, lrvine, and Los Angeles campuses. Faculty and students on other University of California cam...

Application of Discrete 3-level Nested Logit Model in Travel Demand Forecasting as an Alternative to Traditional 4-Step Model

This paper aims to introduce a new modelling approach that represents departure time, destination and travel mode choice under a unified framework. Through it, it is possible to overcome shortages of the traditional 4-step model associated with the lack of introducing actual travellers’ behaviours. This objective can be achieved through adopting discrete 3-level Nested Logit model that represen...

Travel Demand Forecasting: Parameters and Techniques

Forecasting Demand Using Survival Modeling: an application to US prisons

A systems approach to modeling demand which incorporates survival modeling is applied to the problem of prison population projection. The approach models the flow of inmates through the prison system and differs from earlier approaches by exploiting the differences in the incarceration hazard rates of individuals in the general population and those who have previously been incarcerated and expl...