Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Dinesh Gopinath is active.

Publication


Featured researches published by Dinesh Gopinath.


Marketing Letters | 2002

Hybrid Choice Models: Progress and Challenges

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

Extended Framework for Modeling Choice Behavior

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

Travel demand model system for the information era

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

Modeling Methods for Discrete Choice Analysis

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

MODELING USER ADOPTION OF ADVANCED TRAVELER INFORMATION SYSTEMS (ATIS)

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

Integration of Choice and Latent Variable Models

Moshe Ben-Akiva; Joan L. Walker; Adriana Bernardino; Dinesh Gopinath; Taka Morikawa; Amalia Polydoropoulou


Journal of Infrastructure Systems | 1995

Modeling Infrastructure Performance and User Costs

Moshe Ben-Akiva; Dinesh Gopinath


Transportation Research Record | 1997

Willingness To Pay for Advanced Traveler Information Systems: SmarTraveler Case Study

Amalia Polydoropoulou; Dinesh Gopinath; Moshe Ben-Akiva


Transportation Research Board 88th Annual MeetingTransportation Research Board | 2009

Taste heterogeneity, correlation and elasticities in latent class choice models

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

ESTIMATION OF RANDOMLY DISTRIBUTED VALUE OF TIME

Dinesh Gopinath; Moshe Ben-Akiva

Collaboration


Dive into the Dinesh Gopinath's collaboration.

Top Co-Authors

Avatar

Moshe Ben-Akiva

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Joan Walker

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Joan L. Walker

University of California

View shared research outputs
Top Co-Authors

Avatar

John L. Bowman

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge