Discovery of tourists' movement patterns in venice from public transport data-Reference-Cited by-同舟云学术

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Discovery of tourists' movement patterns in venice from public transport data

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
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Author:

Adrián Héctor Cogollos¹,Alfonso Santiago Porras¹,Zanón Bruno Baruque¹,Raffaetà Alessandra²,Zanatta Filippo²

Affiliation:

1. Universidad de Burgos, Burgos, Spain

2. Ca' Foscari University of Venice, Venezia, Italy

Funder

Marie-Sklodowska Curie

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477314.3507355

Reference9 articles.

1. Origin and Destination Estimation in New York City with Automated Fare System Data

2. Analyzing year-to-year changes in public transport passenger behaviour using smart card data

3. Linear, Deterministic, and Order-Invariant Initialization Methods for the K-Means Clustering Algorithm

4. Understanding individual and collective mobility patterns from smart card records: A case study in Shenzhen

5. González M. C. Menezes R., Evsukoff A. 2013. Complex Networks . Springer . González M. C. Menezes R., Evsukoff A. 2013. Complex Networks. Springer.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of Geospatial Trajectory Clustering and Feature Trajectory Clustering for Public Transportation Trip Data;Lecture Notes in Computer Science;2023

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