Abstract
Bike-sharing transportation systems have been well studied from a top-down viewpoint, either for an optimal conception of the system, or for a better statistical understanding of their working mechanisms in the aim of the optimization of the management strategy. Yet bottom-up approaches that could include behavior of users have not been well studied so far. We propose an agent-based model for the short time evolution of a bike-sharing system, with a focus on two strategical parameters that are the role of the quantity of information users have on the all system and the propensity of user to walk after having dropped their bike. We implement the model in a general way so it is applicable to every system as soon as data are available in a certain format. The model of simulation is parametrized and calibrated on processed real time-series of bike movements for the system of Paris. After showing the robustness of the simulations by validating internally and externally the model, we are able to test different user-based strategies for an increase of the level of service. In particular, we show that an increase of user information can have significant impact on the homogeneity of repartition of bikes in docking stations, and, what is important for an future implementation of the strategy, that an action on only 30% of regular users is enough to obtain most of the possible amelioration.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Midgley, P.: The role of smart bike-sharing systems in urban mobility. Journeys 2, 23–31 (2009)
DeMaio, P.: Bike-sharing: History, impacts, models of provision, and future. Journal of Public Transportation 12(4), 41–56 (2009)
O’Brien, O., Cheshire, J., Batty, M.: Mining bicycle sharing data for generating insights into sustainable transport systems. Journal of Transport Geography (2013)
Liu, Z., Jia, X., Cheng, W.: Solving the last mile problem: Ensure the success of public bicycle system in beijing. Procedia-Social and Behavioral Sciences 43, 73–78 (2012)
Geng, X., Tian, K., Zhang, Y., Li, Q.: Bike rental station planning and design in paris. Urban Transport of China 4, 008 (2009)
Gifford, J.: Will smart bikes succeed as public transportation in the united states? Center for Urban Transportation Research 7(2), 1 (2004)
Borgnat, P., Abry, P., Flandrin, P.: Modélisation statistique cyclique des locations de vélo’v à lyon. In: XXIIe Colloque GRETSI (traitement du signal et des images), Dijon (FRA), Septembre 8-11. GRETSI, Groupe d’Etudes du Traitement du Signal et des Images (2009)
Borgnat, P., Fleury, E., Robardet, C., Scherrer, A., et al.: Spatial analysis of dynamic movements of vélo’v, lyon’s shared bicycle program. In: European Conference on Complex Systems 2009 (2009)
Borgnat, P., Abry, P., Flandrin, P., Rouquier, J.-B., et al.: Studying lyon’s vélo’v: a statistical cyclic model. In: European Conference on Complex Systems 2009 (2009)
Borgnat, P., Abry, P., Flandrin, P., Robardet, C., Rouquier, J.-B., Fleury, E.: Shared bicycles in a city: A signal processing and data analysis perspective. Advances in Complex Systems 14(03), 415–438 (2011)
Kaltenbrunner, A., Meza, R., Grivolla, J., Codina, J., Banchs, R.: Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system. Pervasive and Mobile Computing 6(4), 455–466 (2010)
Lin, J.-R., Yang, T.-H., Chang, Y.-C.: A hub location inventory model for bicycle sharing system design: Formulation and solution. Computers & Industrial Engineering (2011)
Lin, J.-R., Yang, T.-H.: Strategic design of public bicycle sharing systems with service level constraints. Transportation Research Part E: Logistics and Transportation Review 47(2), 284–294 (2011)
Kek, A.G.H., Cheu, R.L., Chor, M.L.: Relocation simulation model for multiple-station shared-use vehicle systems. Transportation Research Record: Journal of the Transportation Research Board 1986(1), 81–88 (2006)
Nair, R., Miller-Hooks, E.: Fleet management for vehicle sharing operations. Transportation Science 45(4), 524–540 (2011)
Nair, R., Miller-Hooks, E., Hampshire, R.C., Bušić, A.: Large-scale vehicle sharing systems: Analysis of vélib’. International Journal of Sustainable Transportation 7(1), 85–106 (2013)
Barth, M., Todd, M.: Simulation model performance analysis of a multiple station shared vehicle system. Transportation Research Part C: Emerging Technologies 7(4), 237–259 (1999)
Barth, M., Todd, M., Xue, L.: User-based vehicle relocation techniques for multiple-station shared-use vehicle systems. TRB Paper No. 04-4161 (2004)
Banos, A., Boffet-Mas, A., Chardonnel, S., Lang, C., Marilleau, N., Thévenin, T., et al.: Simuler la mobilité urbaine quotidienne: le projet miro. Mobilités urbaines et risques des transports (2011)
Vogel, P., Greiser, T., Mattfeld, D.C.: Understanding bike-sharing systems using data mining: Exploring activity patterns. Procedia-Social and Behavioral Sciences 20, 514–523 (2011)
Wilensky, U.: Netlogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL (1999)
QGIS Development Team. QGIS Geographic Information System. Open Source Geospatial Foundation (2009)
R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2013)
Thiele, J.C., Kurth, W., Grimm, V.: Agent-based modelling: Tools for linking netlogo and r. Journal of Artificial Societies and Social Simulation 15(3), 8 (2012)
Banos, A.: Pour des pratiques de modélisation et de simulation libérées en Géographie et SHS. PhD thesis, UMR CNRS Géographie-Cités, ISCPIF (Décembre 2013)
Bennett, J.: OpenStreetMap. Packt Publishing (2010)
Couture-Beil, A.: rjson: Json for r. R package version 0.2, 13 (2013)
Timothy, H.: Keitt, Roger Bivand, Edzer Pebesma, and Barry Rowlingson. rgdal: bindings for the geospatial data abstraction library (2011), R package version 0.7-1, http://CRAN.R-project.org/package=rgdal
Jensen, P., Rouquier, J.-B., Ovtracht, N., Robardet, C.: Characterizing the speed and paths of shared bicycle use in lyon. Transportation Research Part D: Transport and Environment 15(8), 522–524 (2010)
Liao, T.W.: Clustering of time series data—a survey. Pattern Recognition 38(11), 1857–1874 (2005)
Alexandre, B.: Tsybakov. Introduction to nonparametric estimation (introduction à l’estimation non-paramétrique) (2004)
Varenne, F., Silberstein, M., et al.: Modéliser & simuler. Epistémologies et pratiques de la modélisation et de la simulation, tome 1 (2013)
Monmarché, N.: Algorithmes de fourmis artificielles: applicationsa la classification eta l’optimisation. PhD thesis, École Polytechnique (2004)
Gershenson, C.: Self-organization leads to supraoptimal performance in public transportation systems. PLoS ONE 6(6), e21469 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Raimbault, J. (2015). User-Based Solutions for Increasing Level of Service in Bike-Sharing Transportation Systems. In: Boulanger, F., Krob, D., Morel, G., Roussel, JC. (eds) Complex Systems Design & Management. Springer, Cham. https://doi.org/10.1007/978-3-319-11617-4_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-11617-4_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11616-7
Online ISBN: 978-3-319-11617-4
eBook Packages: EngineeringEngineering (R0)