Maximum Closeness Centrality k-Clubs: A Study of Dock-Less Bike Sharing
المؤلفون المشاركون
Rahim Taleqani, Ali
Vogiatzis, Chrysafis
Hough, Jill
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-24
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175304
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر