Publication

Destination choice with longitudinal data

Michel Bierlaire
2015
Talks

Abstract

Panel data and habits are often observed in travel behavior research, in route choice and car ownership. While moving from diary survey to location-aware technologies, recent data collection techniques provide panel data about location choice. Only few dynamic models of location choice exist in the literature, and none of them to our knowledge correct for serial correlation. We apply Wooldridge method to deal with the initial values problem on the choice of catering location on a campus from WiFi traces. Cross-validation and forecasting in the scenarios of cost increase and opening of a new catering location are presented. Predicted market shares of the new catering location correspond to point-of-sale data of the first week of opening.

Official source

https://infoscience.epfl.ch/entities/publication/0aa819df-dfb7-4696-a41c-4f0435f6b23f

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Michel Bierlaire
2015
Talks

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/0aa819df-dfb7-4696-a41c-4f0435f6b23f

About this result

Related concepts (32)

Panel data

In statistics and econometrics, panel data and longitudinal data are both multi-dimensional data involving measurements over time. Panel data is a subset of longitudinal data where observations are for the same subjects each time. Time series and cross-sectional data can be thought of as special cases of panel data that are in one dimension only (one panel member or individual for the former, one time point for the latter). A literature search often involves time series, cross-sectional, or panel data.

Cross-validation (statistics)

Cross-validation, sometimes called rotation estimation or out-of-sample testing, is any of various similar model validation techniques for assessing how the results of a statistical analysis will generalize to an independent data set. Cross-validation is a resampling method that uses different portions of the data to test and train a model on different iterations. It is mainly used in settings where the goal is prediction, and one wants to estimate how accurately a predictive model will perform in practice.

Knowledge

Knowledge is a form of awareness or familiarity. It is often understood as awareness of facts or as practical skills, and may also mean familiarity with objects or situations. Knowledge of facts, also called propositional knowledge, is often defined as true belief that is distinct from opinion or guesswork by virtue of justification. While there is wide agreement among philosophers that propositional knowledge is a form of true belief, many controversies in philosophy focus on justification.

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Destination choice with longitudinal data

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