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Article

A New User-Based Incentive Strategy for Improving Bike Sharing Systems’ Performance

1
Computer Science Department, Faculty of Sciences, Al Maaref University, Beirut 1002, Lebanon
2
Faculty of Natural and Applied Sciences, Notre Dame University-Louaize, Zouk Mosbeh 1200, Lebanon
3
College of Business and Technology, University of Nebraska at Kearney, Kearney, NE 68849, USA
4
LaRRIS, Faculty of Sciences, Lebanese University, Fanar 1202, Lebanon
*
Author to whom correspondence should be addressed.
Academic Editors: Alexandros Nikitas and Efthimios Bakogiannis
Sustainability 2021, 13(5), 2780; https://doi.org/10.3390/su13052780
Received: 23 January 2021 / Revised: 15 February 2021 / Accepted: 23 February 2021 / Published: 4 March 2021
The benefits of having a Bike Sharing System (BSS) in a city are numerous. Among other advantages, it promotes a cleaner environment with less traffic and pollution. One major problem the users of such services encounter is that of full or empty stations, causing user dissatisfaction. The objective of this work is to propose a new user-based incentive method to enhance BSS performance. The proposed method relies on a spatial outlier detection algorithm. It consists of adapting the departure and arrival stations of the users to the BSS state by stimulating the users to change their journeys in view of minimizing the number of full and empty stations. Experiments are carried out to compare our proposed method to some existing methods for enhancing the resource availability of BSSs, and they are performed on a real dataset issued from a well-known BSS called Velib. The results show that the proposed strategy improves the availability of BSS resources, even when the collaboration of users is partial. View Full-Text
Keywords: outliers detection; spatial data mining; moran scatterplot; iterative algorithms; Bike Sharing Systems outliers detection; spatial data mining; moran scatterplot; iterative algorithms; Bike Sharing Systems
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MDPI and ACS Style

El Sibai, R.; Challita, K.; Bou Abdo, J.; Demerjian, J. A New User-Based Incentive Strategy for Improving Bike Sharing Systems’ Performance. Sustainability 2021, 13, 2780. https://doi.org/10.3390/su13052780

AMA Style

El Sibai R, Challita K, Bou Abdo J, Demerjian J. A New User-Based Incentive Strategy for Improving Bike Sharing Systems’ Performance. Sustainability. 2021; 13(5):2780. https://doi.org/10.3390/su13052780

Chicago/Turabian Style

El Sibai, Rayane, Khalil Challita, Jacques Bou Abdo, and Jacques Demerjian. 2021. "A New User-Based Incentive Strategy for Improving Bike Sharing Systems’ Performance" Sustainability 13, no. 5: 2780. https://doi.org/10.3390/su13052780

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