Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Aizhan Tlebaldinova 1 ; Aliya Nugumanova 1 ; Yerzhan Baiburin 1 ; Zheniskul Zhantassova 2 ; Markhaba Karmenova 2 and Andrey Ivanov 3

Affiliations: 1 Laboratory of Digital Technologies and Modeling, S. Amanzholov East Kazakhstan State University, Shakarim Street, Ust-Kamenogorsk, Kazakhstan ; 2 Department of Computer Modeling and Information Technologies, S. Amanzholov East Kazakhstan State University, Shakarim Street, Ust-Kamenogorsk, Kazakhstan ; 3 JSC «Bipek Auto» Kazakhstan, Bazhov Street, Ust-Kamenogorsk, Kazakhstan

Keyword(s): Bike Sharing, Temporal Network, Betweenness Centrality, Clustering, Time Series.

Abstract: The bike-sharing systems have been attracting increase research attention due to their great potential in developing smart and green cities. On the other hand, the mathematical aspects of their design and operation generate a lot of interesting challenges for researchers in the field of modeling, optimization and data mining. The mathematical apparatus that can be used to study bike sharing systems is not limited only to optimization methods, space-time analysis or predictive analytics. In this paper, we use temporal network methodology to identify stable trends and patterns in the operation of the bike sharing system using one of the largest bike-sharing framework CitiBike NYC as an example.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 70.40.220.129

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Tlebaldinova, A.; Nugumanova, A.; Baiburin, Y.; Zhantassova, Z.; Karmenova, M. and Ivanov, A. (2020). Temporal Network Approach to Explore Bike Sharing Usage Patterns. In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-419-0; ISSN 2184-495X, SciTePress, pages 129-136. DOI: 10.5220/0009575901290136

@conference{vehits20,
author={Aizhan Tlebaldinova. and Aliya Nugumanova. and Yerzhan Baiburin. and Zheniskul Zhantassova. and Markhaba Karmenova. and Andrey Ivanov.},
title={Temporal Network Approach to Explore Bike Sharing Usage Patterns},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2020},
pages={129-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009575901290136},
isbn={978-989-758-419-0},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Temporal Network Approach to Explore Bike Sharing Usage Patterns
SN - 978-989-758-419-0
IS - 2184-495X
AU - Tlebaldinova, A.
AU - Nugumanova, A.
AU - Baiburin, Y.
AU - Zhantassova, Z.
AU - Karmenova, M.
AU - Ivanov, A.
PY - 2020
SP - 129
EP - 136
DO - 10.5220/0009575901290136
PB - SciTePress