A Public Bicycle Sharing System considering middle stations in which the users can stop before reaching to their destinations

Document Type: Original Manuscript

Authors

1 Department of Industrial Engineering, Mazandaran University of Science and Technology

2 Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran

3 Sharif University of Technology

4 Amirkabir University of Technology

10.22094/joie.2020.1866348.1646

Abstract

Recently, public bicycle sharing system (PBSS) has become one of the most favorite urban transportation systems that can help governments to decrease environmental problems such as pollution and traffic. This paper studies a sharing system that includes two types of stations. The first category contains stations that users can rent or return back bicycles and each bicycle can be rented by any new user who arrives to the stations. The second group is the stations which are near shopping centers, historical and other places that users and tourists can stop and visit them. These stations are used only for parking the rented bicycles for a period of time and after that, the users must ride their bicycles and turn them back to their destination stations. After discussing the network of the model under the closed Jackson network, the Mean Value Analysis (MVA) method will be used to calculate the mean queue of each station and analyzing the proposed model.

Graphical Abstract

A Public Bicycle Sharing System considering middle stations in which the users can stop before reaching to their destinations

Highlights

  • The stations of the public bicycle sharing systems are divided into two groups.
  • The first group (rental stations) contains the stations that users can rent a bike and return the bicycles to them.
  • The second group (middle stations) of stations are located near to shopping centers and visiting places and users can park their rented bikes for a period of time and then take them back and ride them to their destination stations.
  • Viewing the system from a bicycle perspective, this model can be studied under a closed Jackson network.

Keywords


Abolhassani, L., Afghari, A. P., & Borzadaran, H. M. (2019). Public preferences towards bicycle sharing system in developing countries: The case of Mashhad, Iran. Sustainable Cities and Society, 44, 763-773.

Bulhões, T., Subramanian, A., Erdoğan, G., & Laporte, G. (2017). The static bike relocation problem with multiple vehicles and visits. European Journal of Operational Research.

Bruell, S. C., & Balbo, G. (1980). Computational algorithms for closed queueing networks (pp.1-206). Elsevier North-Holland.

Çelebi, D., Yörüsün, A., & Işık, H. (2018). Bicycle sharing system design with capacity allocations. Transportation Research Part B: Methodological, 114, 86-98.

Chiariotti, F., Pielli, C., Zanella, A., & Zorzi, M. (2018). A dynamic approach to rebalancing bike-sharing systems. Sensors, 18(2), 512.

de Almeida Correia, G. H., & Antunes, A. P. (2012). Optimization approach to depot location and trip selection in one-way carsharing systems. Transportation Research Part E: Logistics and Transportation Review, 48(1), 233-247.

DeMaio, P. (2009). Bike-sharing: History, impacts, models of provision, and future. Journal of public transportation, 12(4), 3.

Erdoğan, G., Laporte, G., & Calvo, R. W. (2014). The static bicycle relocation problem with demand intervals. European Journal of Operational Research, 238(2), 451-457.

Fricker, C., & Gast, N. (2016). Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity. Euro journal on transportation and logistics, 5(3), 261-291.

George, D. K., & Xia, C. H. (2011). Fleet-sizing and service availability for a vehicle rental system via closed queueing networks. European Journal of Operational Research, 211(1), 198-207.

Kaltenbrunner, A., Meza, R., Grivolla, J., Codina, J., & Banchs, R. (2010). Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system. Pervasive and Mobile Computing, 6(4), 455-466.

Kaspi, M., Raviv, T., & Tzur, M. (2014). Parking reservation policies in one-way vehicle sharing systems. Transportation Research Part B: Methodological, 62, 35-50.

Kaspi, M., Raviv, T., Tzur, M., & Galili, H. (2016). Regulating vehicle sharing systems through parking reservation policies: Analysis and performance bounds. European Journal of Operational Research, 251(3), 969-987.

Laporte, G., Meunier, F., & Calvo, R. W. (2015). Shared mobility systems. 4or, 13(4), 341-360.

Molinillo, S., Ruiz-Montañez, M., & Liébana-Cabanillas, F. (2019). User characteristics influencing use of a bicycle-sharing system integrated into an intermodal transport network in Spain. International Journal of Sustainable Transportation, 1-12.

Nair, R., & Miller-Hooks, E. (2014). Equilibrium network design of shared-vehicle systems. European Journal of Operational Research, 235(1), 47-61.

Patel, S. J., & Patel, C. R. (2019). An Infrastructure Review of Public Bicycle Sharing System (PBSS): Global and Indian Scenario. In Innovative Research in Transportation Infrastructure (pp. 111-120). Springer, Singapore.

Shaheen, S. A., Guzman, S., & Zhang, H. (2010). Bikesharing in Europe, the Americas

and Asia: Past, present, and future. Transportation Research Record, 2143,

159–167.

Vishkaei, B. M., Mahdavi, I., Mahdavi-Amiri, N., & Khorram, E. (2020). Balancing Public Bicycle Sharing System Using Inventory Critical Levels in Queuing Network. Computers & Industrial Engineering, 106277.

Yan, S., Lin, J. R., Chen, Y. C., & Xie, F. R. (2017). Rental bike location and allocation under stochastic demands. Computers & Industrial Engineering, 107, 1-11.

Yan, S., Lu, C. C., & Wang, M. H. (2018). Stochastic fleet deployment models for public bicycle rental systems. International Journal of Sustainable Transportation, 12(1), 39-52.

Yang, X. H., Cheng, Z., Chen, G., Wang, L., Ruan, Z. Y., & Zheng, Y. J. (2018). The impact of a public bicycle-sharing system on urban public transport networks. Transportation research part A: policy and practice, 107, 246-256.

Yuan, M., Zhang, Q., Wang, B., Liang, Y., & Zhang, H. (2019). A mixed integer linear programming model for optimal planning of bicycle sharing systems: A case study in Beijing. Sustainable Cities and Society, 47, 101515.

Zhang, D., Yu, C., Desai, J., Lau, H. Y. K., & Srivathsan, S. (2017). A time-space network flow approach to dynamic repositioning in bicycle sharing systems. Transportation Research Part B: Methodological, 103, 188-207.