Andrew Daly – författare

There have been some exciting developments in choice modeling, but much of this work is only accessible to those attending conferences like the International Choice Modeling Conference where researchers from many different fields can share their work. This Handbook brings the best of this new work to a wider audience. The editors have convinced many of the top researchers in choice modeling to contribute essays, and the resulting Handbook is the only reference I know that comes close to covering the current state of the art in choice modeling.''- David Brownstone, University of California, Irvine, US

''Choice modelling has been the focus of intensive research activities during the last decades. This book proposes a fantastic consolidation of these recent developments, written by the major actors in the field, including Daniel McFadden, Nobel Laureate. The good balance between fundamental topics and applied considerations, as well as the coverage of area-specific aspects, make it an exceptional reference for researchers and practitioners interested in human choices.''- Michel Bierlaire, EPFL Lausanne, Switzerland

''Decision-making underpins daily life, from the simple to the complex. Neurophysiologists, psychologists and economists have all spent decades studying decision-making from very different perspectives. Theoretical advances in the different fields have complementary strengths, creating the need for an integrated approach. This book represents a milestone in bringing together different theoretical perspectives on decision-making, setting the foundations for exciting new multi-disciplinary approaches.''- Scott Brown, The University of Newcastle, Australia

This Handbook provides an authoritative and in-depth overview of the essential topics related to the increasingly important field of choice modeling: a key tool for the understanding of behavior and used to support decision-making across many areas such as transportation, health economics, environmental analysis and marketing.

The Handbook of Choice Modelling, composed of contributions from senior figures in the field, summarizes the essential analytical techniques and discusses the key current research issues. The book opens with Nobel Laureate Daniel McFadden calling for deeper engagement with more behavioural and psychological fields, and this is followed by supporting chapters on behavioural economics and mathematical psychology. Further chapters explore the elicitation of data and the context of observation; inter-personal variation; the modeling of complex choice processes taking account of heterogeneity; extending the models to deal with more complex choices; statistical processes for the understanding of data; and finally the practical application of these methods. A final group of chapters discusses the research needs of specific application areas.

Offering a unique collection of contributions from many of the top researchers in choice modeling, this Handbook provides essential reading for academics, students and practitioners in a wide range of areas.

Contributors: M. Abou Zeid, W.L. Adamowicz, K.W. Axhausen, M. Ben-Akiva, C. Bhat, S. Blackburn, M.C.J. Bliemer, D.S. Bunch, P. Burge, J.R.Busemeyer, R.T. Carson, E. Cherchi, C.G. Chorus, M. Czajkowski, A. Daly, A. de Palma, C. Eckert, F. Feinberg, T.N. Flynn, M. Fosgerau, B. Frischknecht, K. Glenk, K.G. Goulias, W. Greene, G.W. Harrison, D. Hensher, S. Hess, I. Inoa, A. Karlström, E. Lancsar, P. Lenk, G. Loomes, J. Louviere, A.A.J. Marley, J. Martínez-Correa, D. McFadden, J. Meyerhoff, J. de Dios Ortúzar, R.M.Pendyala, N. Picard, A. Pinjari, T. Ribeiro, N. Rieser-Schüssler, J. Rieskamp, L.I. Rizzi, J.M. Rose, J. Swait, A. Vij, J.L. Walker

Choice modelling has been one of the most active fields in economics over recent years. This valuable new book contains leading contributions from academics and practitioners from across the different areas of study where choice modelling is a key analytical technique, drawn from a recent international conference.

Choice models explain the behavior of individuals by quantifying their values, responses and perceptions of attributes describing the various options (alternatives) available to them. Policy makers and planners have long since recognised the potential of using choice models for guidance purposes, with applications in fields as diverse as transport analysis, healthcare, telecommunications, public service evaluation and energy.

The unique mix of theoretical and applied chapters will appeal to academics, students, researchers and practitioners in various fields, as well as anyone with a general interest in the subject.

Contributors: T. Arentze, R. Batley, C. Bhat, M. Bierlaire, D.S. Bunch, E. Cherchi, C.G. Chorus, C.F. Choudhury, A. Daly, J. de Dios Ortúzar, B.G.C. Dellaert, M. Dix, C. Eckert, A. Enam, T. Flynn, M. Greene, S. Hess, J.N. Ibáñez, P. Iglesias, L. La Paix, J.J. Louviere, P. Metcalfe, P.L. Mokhtarian, A. Monzón, H. Oppewal, A. Pinjari, J.M. Rose, R. Sheldon, W. Tang, P. Vovsha, G. Wets

This thoroughly revised second edition Handbook provides an authoritative and in-depth overview of choice modelling, a key technique used across disciplines as diverse as transport, marketing, health and environmental economics.Composed of contributions from influential senior researchers, this erudite Handbook covers all the significant steps of choice modelling analysis, including underlying economic and psychological theory, data collection and sampling, model specification and estimation, and interpretation and use of results. New chapters examining topics including endogeneity in discrete choice models, machine learning, and novel data sources such as virtual reality provide a fresh outlook on this fundamental empirical methodology. This second edition of the Handbook of Choice Modelling will be an important read for academics and students across disciplines that have an interest in behavioural modelling. It will also benefit practitioners seeking to understand the theoretical underpinning of their work.

This thoroughly revised second edition Handbook provides an authoritative and in-depth overview of choice modelling, a key technique used across disciplines as diverse as transport, marketing, health and environmental economics.

Composed of contributions from influential senior researchers, this erudite Handbook covers all the significant steps of choice modelling analysis, including underlying economic and psychological theory, data collection and sampling, model specification and estimation, and interpretation and use of results. New chapters examining topics including endogeneity in discrete choice models, machine learning, and novel data sources such as virtual reality provide a fresh outlook on this fundamental empirical methodology.

This second edition of the Handbook of Choice Modelling will be an important read for academics and students across disciplines that have an interest in behavioural modelling. It will also benefit practitioners seeking to understand the theoretical underpinning of their work.

This book contains a selection of the best theoretical and applied papers from the inaugural International Choice Modelling Conference. The conference was organised by the Institute for Transport Studies at the University of Leeds and held in Harrogate, North Yorkshire on 30 March to 1 April 2009. The conference brought together leading researchers and practitioners from across the many different areas in which choice modelling is a key technique for understanding behaviour and evaluating policy. The diversity of the field was reflected in presentations by both academics and practitioners, coming from six continents and a variety of fields including transport and economics. Key contributions include papers from Professor Daniel McFadden, from the University of California, Berkeley - Nobel Prize laureate in Economics and chief architect of random utility modelling. The conference also included keynote presentations by five other leading choice modellers, namely Professor Moshe Ben-Akiva, Professor Chandra Bhat, Professor Michel Bierlaire, Professor David Hensher, and Professor Riccardo Scarpa.