Choice Modelling: The State-of-the-art and the State-of-practice : Proceedings from the Inaugural International Choice Modelling Conference
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 was held at Harrogate in Yorkshire in the North of England from 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 highlight of the conference was a presentation by Professor Daniel McFadden from the University of California at 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. The diversity of the field was reflected in presentations by both academics and practitioners, coming from six continents and various different fields, with a similar mix in non-speaking delegates
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Concepts and Methodology
Endogeneity and Heterogeneity
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algorithm alternative analysis application approach assumed attribute levels behavior Ben-Akiva beneﬁts Bhat Bierlaire Bliemer choice experiments choice probabilities choice sets coefﬁcients commuting compensating variation consumer surplus contingent valuation correlation cost covariates decision maker deﬁned discrete choice models distribution dummy econometric Economics effects efﬁcient designs empirical endogeneity equation error term experimental design ﬁnd ﬁndings ﬁrms ﬁrst ﬁve ﬂexibility framework free-ﬂow Hensher heterogeneity identiﬁcation income indicators individual inﬂuence Journal latent class latent class model latent variables likelihood likelihood function logit model marginal utility McFadden measures methods mixture model MMNL MNL model mode choice MoE model multinomial logit normal distribution observed optimal orthogonal design parameter estimates prior public transportation random utility residential respondents route choice sample scale signiﬁcantly simulation speciﬁcation standard statistically signiﬁcant structure survey Table Transportation Research trip unobserved unreliability utility function values