Author:
Zhong Chen,Huang Xianfeng,Müller Arisona Stefan,Schmitt Gerhard,Batty Michael
Subject
Urban Studies,General Environmental Science,Ecological Modelling,Geography, Planning and Development
Reference37 articles.
1. Agard, B., Morency, C., & Trépanier, M. (2006). Mining public transport user behaviour from smart card data. 12th IFAC Symposium on Information Control Problems in Manufacturing-INCOM (pp. 17–19).
2. Daily rhythms of suburban commuters’ movements in the Tallinn metropolitan area: Case study with mobile positioning data;Ahas;Transportation Research Part C: Emerging Technologies,2010
3. The potential of public transport smart card data;Bagchi;Transport Policy,2005
4. Bayes and empirical bayes methods for data analysis;Carlin;Statistics and Computing,1997
5. Chakirov, A., & Erath, A. (2012). Activity identification and primary location modelling based on smart card payment data for public transport. Zurich, Switzerland: Eidgenössische Technische Hochschule Zürich, IVT, Institute for Transport Planning and Systems, Zurich, Switzerland.
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