On May 21 through 23, 2006, the Transportation Research Board (TRB) convened the Innovations in Travel Demand Modeling Conference in Austin, Texas. The conference was sponsored by the following agencies, organizations, and companies to provide an opportunity for a frank exchange of ideas and experiences among academics, model developers, and practitioners: TRB, FHWA, FTA, the Central Texas Regional Mobility Authority, the Capital Metropolitan Transportation Authority, PBS & J-Austin, URS Corporation, and HNTB Corporation. Approximately 220 individuals from across the transportation research community at national, state, regional, and local levels and from the public and private sectors and academia participated. The last major conference on specialty travel demand modeling was held as part of the U.S. Department of Transportation's Travel Model Improvement Program (TMIP) in the fall of 1996. At that time, there was little research and no practical application of land use models and activity-based travel demand models and their integration with demographic, economic, and network modes. Since then, there has been a literal revolution in travel demand forecasting.
See the different things that you can ride.
from a combination of state and local sources that have typically been available to broadly support public education . At the same time , federal regulations have precluded local public transportation agencies from providing service ...
Paradigm Shifts in Public Services New paradigms are being introduced in the public service sector as well . ... Charter school reform has arisen from dissatisfaction with educational attainment , unresponsive administrators ...
This information document contains key findings of the study commissioned by the Transport Department of the Scottish Executive, to provide an overview of existing research into the travel behavior of visitors to Scotland.
In another study, Krizek et al. (2004) used several data sources, including the year 2000 PUMS data, the 2001 NHTS data, and the year 2000 Twin Cities Travel Behavior Inventory survey data, to uncover gender differences in cycling ...
The Value of Travel Time-savings from a Discrete-choice Model
Interdependencies of Travel Decisions, Other Activities, and Household Members in the Frequency, Timing, and Mode of Travel to the Shops:...
Behavioural Intentions as Predictors of Very Specific Behaviour
Behavioural Response and Form of the Representative Component of the Indirect Utility Function in Travel Choice Models
This book begins with discussions about basic concepts and theory underlying the econometrics of discrete choice, commonly used models, model building and tests, and applications of choice models.