Societal trends have made the need for better travel demand
forecasts more urgent, at the same time as making people's travel
and activity patterns far more complex. Traditional traffic flow
models are no longer sophisticated enough to cope.
Activity analysis is seen by many as the solution. It has had a
short but intense history in geography, urban planning, time use
research and, more recently, transportation. Pioneering
activity-based models have now been developed to the point where,
some argue, it is time to abandon the traditional four-step model
for transportation demand forecasting and to adopt activity-based
approaches instead. Others claim that the complexity of such
approaches, and their tremendous data requirements, prevent them
from having a significant impact.
This book explores these claims and the issues associated with
them. An introductory section outlines the debate. The body of the
work is organised in four sections: modelling developments;
theories and empirical analyses; data needs and data
representation; and policy analysis. The final section discusses
future research directions.
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