Marcela Munizaga

TL;DR: In this paper, the authors discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation and incorporate several elements of cognitive process that have been identified as important to the choice process.

TL;DR: This paper presents a methodology for estimating a public transport OD matrix from smartcard and GPS data for Santiago, Chile and generates an estimation of time and position of alighting for over 80% of the boarding transactions.

TL;DR: In this paper, a validation of public transport origin-destination (OD) matrices obtained from smartcard and GPS data is presented, where the results are very positive, as the percentages of correct estimation are approximately 90% in all cases.

TL;DR: The method is applied to cases in Santiago, Chile, and Gatineau, Quebec, Canada, to identify activity purpose and time frame to characterize user behavior and to discover differences in behavioral activity patterns due to sociological, cultural, and geopolitical differences.

TL;DR: In this paper, a new approach to calculate the value of leisure is developed and applied, derived from a consumer behavior model that includes goods and activities, and a system of time assignment equations is explicitly obtained from which the values of both leisure and work can be analytically calculated using econometrically estimated parameters.