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.
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This book squarely addresses the recondite topics in transportation - Readers will be enlightened to new trends of travel behavioural research. - Professor Akimasa Fujiwara, Hiroshima University
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.
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 290 | Sprache: Englisch | Produktart: Bücher | The book is an attempt to stimulate development in travel behaviour analysis and provide a basic source of reference to the transportation research community. The aim of the book is to give centre stage to some recent innovative approaches to models of bounded rationality, both under conditions of certainty and uncertainty. Nº de ref. del artículo: 24839309/2
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Hardback. Condición: New. 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. Nº de ref. del artículo: LU-9781784410728
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