In this title, experts in public transport address the current problem of improving public transit systems by taking advantage of new technologies and advanced modelling techniques. The key areas open to improvement are service planning and operations management.
This book brings together frontier research in transportation and travel behaviour on the formulation and estimation of models of bounded rationality to analyse and predict various facets underlying daily activity-travel behaviour. Key behavioural principles and mechanisms relate to simplifying
decision complexity by ignoring particular attributes, developing context and task-dependent mental representations, deriving decision heuristics, adding emotional aspects to cognitive assessments of choice options, regret-minimization, semi-compensatory decision rules based on mental effort and
risk perception, learning and adaptation, satisfying decision rules and prospect theoretic approaches. The book is important reading for transportation researchers and professionals who are interested in the latest developments in transport demand forecasting. It offers historical reviews of the
development of models of bounded rationality in this field of research, and a variety of new concepts and modelling approaches that should be inspirational to both new and experienced researchers in this field of research and application.
This book discusses transport systems and the implementation of related public policy - a relevant topic with contemporary traffic congestion, environmental intrusion, transport safety, and budget issues. It is a resource for both experienced researchers and those new to the field.