Dinesh Gopinath
Mercer University
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Featured researches published by Dinesh Gopinath.
Marketing Letters | 2002
Moshe Ben-Akiva; Daniel McFadden; Kenneth Train; Joan Walker; Chandra R. Bhat; Michel Bierlaire; Denis Bolduc; Axel Boersch-Supan; David Brownstone; David S. Bunch; Andrew Daly; André de Palma; Dinesh Gopinath; Anders Karlström; Marcela Munizaga
We discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation. Such approaches incorporate several elements of cognitive process that have been identified as important to the choice process, including strong dependence on history and context, perception formation, and latent constraints. A flexible and practical hybrid choice model is presented that integrates many types of discrete choice modeling methods, draws on different types of data, and allows for flexible disturbances and explicit modeling of latent psychological explanatory variables, heterogeneity, and latent segmentation. Both progress and challenges related to the development of the hybrid choice model are presented.
Marketing Letters | 1999
Moshe Ben-Akiva; Daniel McFadden; Tommy Gärling; Dinesh Gopinath; Joan Walker; Denis Bolduc; Axel Börsch-Supan; Philippe Delquié; Oleg Larichev; Taka Morikawa; Amalia Polydoropoulou; Vithala R. Rao
We review the case against the standard model of rational behavior and discuss the consequences of various ‘anomalies’ of preference elicitation. A general theoretical framework that attempts to disentangle the various psychological elements in the decision-making process is presented. We then present a rigorous and general methodology to model the theoretical framework, explicitly incorporating psychological factors and their influences on choices. This theme has long been deemed necessary by behavioral researchers, but is often ignored in demand models. The methodology requires the estimation of an integrated multi-equation model consisting of a discrete choice model and the latent variable model system. We conclude with a research agenda to bring the theoretical framework into fruition.
Transportation | 1996
Moshe Ben-Akiva; John L. Bowman; Dinesh Gopinath
The emergence of new information technologies and recent advances in existing technologies have provided new dimensions for travel demand decisions. In this paper we propose a comprehensive travel demand modeling framework to identify and model the urban development decisions of firms and developers and the mobility, activity and travel decisions of individuals and households, and to develop a system of models that can be used by decision makers and planners to evaluate the effects of changes in the transportation system and development of information technologies (e.g. various tele-commuting, tele-services and Intelligent Transportation Systems).The implementation of an operational model system based on this framework is envisioned as an incremental process starting with the current “best practice” of disaggregate travel demand model systems. To this end, we present an activity-based model system as the first stage in the development of an operational model system.
Marketing Letters | 1997
Moshe Ben-Akiva; Daniel McFadden; Makoto Abe; Ulf Böckenholt; Denis Bolduc; Dinesh Gopinath; Takayuki Morikawa; Venkatram Ramaswamy; Vithala R. Rao; David Revelt; Dan Steinberg
This paper introduces new forms, sampling and estimation approaches fordiscrete choice models. The new models include behavioral specifications oflatent class choice models, multinomial probit, hybrid logit, andnon-parametric methods. Recent contributions also include new specializedchoice based sample designs that permit greater efficiency in datacollection. Finally, the paper describes recent developments in the use ofsimulation methods for model estimation. These developments are designed toallow the applications of discrete choice models to a wider variety ofdiscrete choice problems.
IFAC Proceedings Volumes | 1997
Amalia Polydoropoulou; Moshe Ben-Akiva; Dinesh Gopinath
Abstract This paper develops a model system for assessing market penetration and usage rates of Advanced Traveler Information Systems (ATIS). The choice models developed predict travelers’ awareness, trial use, and repeat use for SmarTraveler, an ATIS implemented in the Boston area. The travelers’ attitudes toward travel information and perceptions of ATIS service attributes, such as quality and relative advantage over conventional information sources, are incorporated in the modeling framework. This research contributes to the literature on modeling awareness, and use decisions of ATIS using an integrated system of discrete choice and latent variable models.
Archive | 1999
Moshe Ben-Akiva; Joan L. Walker; Adriana Bernardino; Dinesh Gopinath; Taka Morikawa; Amalia Polydoropoulou
Journal of Infrastructure Systems | 1995
Moshe Ben-Akiva; Dinesh Gopinath
Transportation Research Record | 1997
Amalia Polydoropoulou; Dinesh Gopinath; Moshe Ben-Akiva
Transportation Research Board 88th Annual MeetingTransportation Research Board | 2009
Stephane Hess; Moshe Ben-Akiva; Dinesh Gopinath; Joan L. Walker
Proceedings of the Value of Time seminar, held 29-30 October 1996. Session 12 | 1996
Dinesh Gopinath; Moshe Ben-Akiva