M
Marcela Munizaga
Researcher at University of Chile
Publications - 65
Citations - 2353
Marcela Munizaga is an academic researcher from University of Chile. The author has contributed to research in topics: Discrete choice & Public transport. The author has an hindex of 18, co-authored 63 publications receiving 1956 citations.
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Journal ArticleDOI
Hybrid choice models : Progress and challenges
Moshe Ben-Akiva,Daniel McFadden,Kenneth Train,Joan L. 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 +14 more
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.
Journal ArticleDOI
Estimation of a disaggregate multimodal public transport Origin-Destination matrix from passive smartcard data from Santiago, Chile
Marcela Munizaga,Carolina Palma +1 more
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.
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Validating travel behavior estimated from smartcard data
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.
Journal ArticleDOI
Detection of Activities of Public Transport Users by Analyzing Smart Card Data
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.
Journal ArticleDOI
Estimating the value of leisure from a time allocation model
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.