Maximum Closeness Centrality k-Clubs: A Study of Dock-Less Bike Sharing
Joint Authors
Rahim Taleqani, Ali
Vogiatzis, Chrysafis
Hough, Jill
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-24
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
In this work, we investigate a new paradigm for dock-less bike sharing.
Recently, it has become essential to accommodate connected and free-floating bicycles in modern bike-sharing operations.
This change comes with an increase in the coordination cost, as bicycles are no longer checked in and out from bike-sharing stations that are fully equipped to handle the volume of requests; instead, bicycles can be checked in and out from virtually anywhere.
In this paper, we propose a new framework for combining traditional bike stations with locations that can serve as free-floating bike-sharing stations.
The framework we propose here focuses on identifying highly centralized k-clubs (i.e., connected subgraphs of restricted diameter).
The restricted diameter reduces coordination costs as dock-less bicycles can only be found in specific locations.
In addition, we use closeness centrality as this metric allows for quick access to dock-less bike sharing while, at the same time, optimizing the reach of service to bikers/customers.
For the proposed problem, we first derive its computational complexity and show that it is NP-hard (by reduction from the 3-Satisfiability problem), and then provide an integer programming formulation.
Due to its computational complexity, the problem cannot be solved exactly in a large-scale setting, as is such of an urban area.
Hence, we provide a greedy heuristic approach that is shown to run in reasonable computational time.
We also provide the presentation and analysis of a case study in two cities of the state of North Dakota: Casselton and Fargo.
Our work concludes with the cost-benefit analysis of both models (docked vs.
dockless) to suggest the potential advantages of the proposed model.
American Psychological Association (APA)
Rahim Taleqani, Ali& Vogiatzis, Chrysafis& Hough, Jill. 2020. Maximum Closeness Centrality k-Clubs: A Study of Dock-Less Bike Sharing. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1175304
Modern Language Association (MLA)
Rahim Taleqani, Ali…[et al.]. Maximum Closeness Centrality k-Clubs: A Study of Dock-Less Bike Sharing. Journal of Advanced Transportation No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1175304
American Medical Association (AMA)
Rahim Taleqani, Ali& Vogiatzis, Chrysafis& Hough, Jill. Maximum Closeness Centrality k-Clubs: A Study of Dock-Less Bike Sharing. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1175304
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175304