Using Clustering Methods in Multinomial Logit Model for Departure Time Choice
Joint Authors
Afandizadeh Zargari, Shahriar
Safari, Farshid
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-15
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Travellers have to make some decisions for each trip, and one of them is the choice of departure time.
Discrete choice models have been employed as an approach to departure time modelling by many researchers.
In this method, preparing choice set is a primary challenge which involves the definition of some departure periods to be selected by the traveller.
In this research, choice sets were formed by applying the clustering methods on departure times.
Afterwards, we developed Multinomial Logit (MNL) models on different choice sets and compared the models.
The data used throughout this research belonged to Mashhad City.
Research results indicated that Ward’s hierarchical clustering method is improper for time discretization; furthermore, the K-means clustering method is more efficient than the expectation maximization and K-medoids methods in the time discretization for MNL modelling.
The developed model (based on K-means clustering method) accurately predicts departure time for 58% of persons within the test group, which reflects the effectiveness of the resulting model compared to the 36% which is obtained without the model.
American Psychological Association (APA)
Afandizadeh Zargari, Shahriar& Safari, Farshid. 2020. Using Clustering Methods in Multinomial Logit Model for Departure Time Choice. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1175986
Modern Language Association (MLA)
Afandizadeh Zargari, Shahriar& Safari, Farshid. Using Clustering Methods in Multinomial Logit Model for Departure Time Choice. Journal of Advanced Transportation No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1175986
American Medical Association (AMA)
Afandizadeh Zargari, Shahriar& Safari, Farshid. Using Clustering Methods in Multinomial Logit Model for Departure Time Choice. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1175986
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175986