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Research Article

Dynamic demand patterns in the profit optimisation of bike-sharing station locations: an agent-based analysis of the greater Vienna region

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Received 01 Aug 2023, Accepted 03 May 2024, Published online: 09 May 2024

References

  • Balac, Milos, and Sebastian Horl. 2021. Simulation of intermodal shared mobility in the San Francisco Bay Area using MATSim. In IEEE International Intelligent Transportation Systems Conference (ITSC). https://doi.org/10.1109/itsc48978.2021.9564851
  • Banerjee, Snehanshu, Md Muhib Kabir, Nashid K. Khadem, and Celeste Chavis. 2020. “Optimal Locations for Bikeshare Stations: A New GIS Based Spatial Approach.” Transportation Research Interdisciplinary Perspectives 4: 100101. https://doi.org/10.1016/j.trip.2020.100101.
  • Batty, Michael. 2008. “Fifty Years of Urban Modeling: Macro-Statics to Micro-Dynamics BT.” In The Dynamics of Complex Urban Systems: An Interdisciplinary Approach, edited by Sergio Albeverio, Denise Andrey, Paolo Giordano, and Alberto Vancheri, 1–20. Heidelberg: Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1937-3_1.
  • Becker, Henrik, Milos Balac, Francesco Ciari, and Kay W. Axhausen. 2020. “Assessing the Welfare Impacts of Shared Mobility and Mobility as a Service (MaaS).” Transportation Research Part A: Policy and Practice 131 (September 2019): 228–243. https://doi.org/10.1016/j.tra.2019.09.027.
  • Bertolini, Luca. 2017. Planning the Mobile Metropolis. London: Palgrave.
  • Bonabeau, Eric. 2002. “Agent-Based Modeling: Methods and Techniques for Simulating Human Systems.” Proceedings of the National Academy of Sciences of the United States of America 99 (SUPPL. 3): 7280–7287. https://doi.org/10.1073/pnas.082080899.
  • Boor, Sven. 2019. “Impacts of 4th Generation Bike Sharing.”. Delft University of Technology
  • Bundesministerium für Verkehr; Innovation und Technologie. 2013. “Österreich Unterwegs 2013/2014: Ergebnisbericht Zur Österreichweiten Mobilitätserhebung”: 340. https://www.bmvit.gv.at/verkehr/gesamtverkehr/statistik/oesterreich_unterwegs/downloads/oeu_2013-2014_Ergebnisbericht.pdf.
  • Caggiani, Leonardo, Aleksandra Colovic, and Michele Ottomanelli. 2020. “An Equality-Based Model for Bike-Sharing Stations Location in Bicycle-Public Transport Multimodal Mobility.” Transportation Research Part A: Policy and Practice 140 (December 2019): 251–265. https://doi.org/10.1016/j.tra.2020.08.015.
  • Cai, Yutong, Ghim Ping Ong, and Qiang Meng. 2023. “Understanding Bike-Sharing as a Commute Mode in Singapore: An Agent-Based Simulation Approach.” Transportation Research Part D: Transport and Environment 122 (March): 103859. https://doi.org/10.1016/j.trd.2023.103859.
  • Ciari, Francesco, Milos Balac, and Michael Balmer. 2015. “Modelling the Effect of Different Pricing Schemes on Free-Floating Carsharing Travel Demand: A Test Case for Zurich, Switzerland.” Transportation 42 (3): 413–433. https://doi.org/10.1007/s11116-015-9608-z.
  • Coenegrachts, Elnert, Joris Beckers, Thierry Vanelslander, and Ann Verhetsel. 2021. “Business Model Blueprints for the Shared Mobility Hub Network.” Sustainability (Switzerland) 13 (12): 1–24.
  • Conrow, Lindsey, Alan T. Murray, and Heather A. Fischer. 2018. “An Optimization Approach for Equitable Bicycle Share Station Siting.” Journal of Transport Geography 69 (May 2017): 163–170. https://doi.org/10.1016/j.jtrangeo.2018.04.023.
  • Daskin, Mark. S. 2013. Network and Discrete Location - Models, Algorithms, and Applications. 2nd ed. New Jersey: John Wiley & Sons, Inc.
  • Dehdari Ebrahimi, Z., M. Momenitabar, A. A. Nasri, and J. Mattson. 2022. “Using a GIS-Based Spatial Approach to Determine the Optimal Locations of Bikeshare Stations: The Case of Washington D.C.” Transport Policy 127: 48–60. https://doi.org/10.1016/j.tranpol.2022.08.008.
  • DeSerpa, Allan C. 1973. “Microeconomic Theory and the Valuation of Travel Time: Some Clarification.” Regional and Urban Economics 2 (4): 401–410. https://doi.org/10.1016/0034-3331(73)90005-5.
  • Diallo, Azise Oumar, Thibault Gloriot, and Ouassim Manout. 2023. “Agent-Based Simulation of Shared Bikes and e-Scooters: The Case of Lyon.” Procedia Computer Science 220: 364–371. https://doi.org/10.1016/j.procs.2023.03.047.
  • Du, M., and L. Cheng. 2018. “Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China.” Sustainability (Switzerland) 10 (4): 1244. https://doi.org/10.3390/su10041244.
  • Duran-Rodas, D. 2022. Smart Mobility Hubs as Game Changers in Transport - Guidelines for the Integration of Mobility Hubs into the Urban Space. https://www.smartmobilityhubs.eu/data-publications.
  • Duran-Rodas, David, Fernanda Navarro, Aaron Nichols, and Benjamin Büttner. 2023. Smart Mobility Hubs as Game Changers in Transport - Living Lab Implementation Report Munich. https://www.smartmobilityhubs.eu/data-publications.
  • Eren, E., and B. Y. Katanalp. 2022. “Fuzzy-Based GIS Approach with New MCDM Method for Bike-Sharing Station Site Selection According to Land-Use Types.” Sustainable Cities and Society 76. https://doi.org/10.1016/j.scs.2021.103434.
  • Eren, Ezgi, and Volkan Emre Uz. 2020. “A Review on Bike-Sharing: The Factors Affecting Bike-Sharing Demand.” Sustainable Cities and Society 54 (October 2019): 1–12. https://doi.org/10.1016/j.scs.2019.101882.
  • Ewert, Ricardo, Kai Martins-Turner, Carina Thaller, and Kai Nagel. 2021. “Using a Route-Based and Vehicle Type Specific Range Constraint for Improving Vehicle Routing Problems with Electric Vehicles.” Transportation Research Procedia 52: 517–524. https://doi.org/10.1016/j.trpro.2021.01.061.
  • Fazio, Martina, N. Giuffrida, M. Le Pira, G. Inturri, and M. Ignaccolo. 2021a. “Bike Oriented Development: Selecting Locations for Cycle Stations Through a Spatial Approach.” Research in Transportation Business & Management 40 (June 2020): 100576. https://doi.org/10.1016/j.rtbm.2020.100576.
  • Fazio, M., N. Giuffrida, M. Le Pira, G. Inturri, and M. Ignaccolo. 2021b. “Planning Suitable Transport Networks for E-Scooters to Foster Micromobility Spreading.” Sustainability (Switzerland) 13 (20): 11422. https://doi.org/10.3390/su132011422.
  • Frade, Ines, and Anabela Ribeiro. 2015. “Bike-Sharing Stations: A Maximal Covering Location Approach.” Transportation Research Part A: Policy and Practice 82 (December 2014): 216–227. https://doi.org/10.1016/j.tra.2015.09.014.
  • Gammelli, Daniele, Y. Wang, D. Prak, F. Rodrigues, S. Minner, and F. C. Pereira. 2022. “Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management.” Transportation Research Part C: Emerging Technologies 138 (July 2021): 103571. https://doi.org/10.1016/j.trc.2022.103571.
  • García-Palomares, Juan Carlos, Javier Gutiérrez, and Marta Latorre. 2012. “Optimizing the Location of Stations in Bike-Sharing Programs: A GIS Approach.” Applied Geography 35 (1–2): 235–246. https://doi.org/10.1016/j.apgeog.2012.07.002.
  • Graf, Antonia, and Julia Hansel. 2023. Smart Mobility Hubs as Game Changers in Transport - Governance Framework for Mobility Hubs in The Smarthubs Living Lab Areas. https://www.smartmobilityhubs.eu/data-publications.
  • Graf, Antonia, Julia Hansel, and Tomma Wagner. 2023. Governance Arrangements for Smart Mobility Hubs. https://www.smartmobilityhubs.eu/data-publications.
  • Guler, Dogus, and Tahsin Yomralioglu. 2021. Bicycle Station and Lane Location Selection Using Open Source GIS Technology. Springer International Publishing. https://doi.org/10.1007/978-3-030-58232-6_2.
  • Hebenstreit, Cornelia, and Martin Fellendorf. 2018. “A Dynamic Bike Sharing Module for Agent-Based Transport Simulation, Within Multimodal Context.” Procedia Computer Science 130: 65–72. https://doi.org/10.1016/j.procs.2018.04.013.
  • Hebenstreit, Cornelia, and Martin Fellendorf. 2019. “Dynamic, Multi- and Intermodal Bike Sharing in Agent-Based Modelling.” International Journal of Traffic and Transportation Management 01 (1): 9–17. https://doi.org/10.5383/jttm.01.01.002.
  • Horjus, J. S., K. Gkiotsalitis, S. Nijënstein, and K. T. Geurs. 2022. “Integration of Shared Transport at a Public Transport Stop: Mode Choice Intentions of Different User Segments at a Mobility Hub.” Journal of Urban Mobility 2 (February): 100026. https://doi.org/10.1016/j.urbmob.2022.100026.
  • Horni, Andreas, Kai Nagel, and Kay W. Axhausen. 2016. The Multi-Agent Transport Simulation MATSim. London, UK: Ubiquity Press.
  • Hössinger, Reinhard, F. Aschauer, S. Jara-Díaz, S. Jokubauskaite, B. Schmid, S. Peer, K. W. Axhausen, and R. Gerike. 2020. 47 Transportation A Joint Time-Assignment and Expenditure-Allocation Model: Value of Leisure and Value of Time Assigned to Travel for Specific Population Segments. Springer US. https://doi.org/10.1007/s11116-019-10022-w.
  • Jara-Díaz, Sergio R., and Cristián A. Guevara. 2003. “Behind the Subjective Value of Travel Time Savings: The Perception of Work, Leisure, and Travel from a Joint Mode Choice Activity Model.” Journal of Transport Economics and Policy 37 (1): 29–46.
  • Jara-Diaz, Sergio R. 2000. “Allocation and Valuation of Travel Time Savings.” Handbooks in Transport 1: 303–319.
  • Jin, Jian Gang, Hugo Nieto, and Linjun Lu. 2020. “Robust Bike-Sharing Stations Allocation and Path Network Design: A Two-Stage Stochastic Programming Model.” Transportation Letters 12 (10): 682–691. https://doi.org/10.1080/19427867.2019.1691299.
  • Kagho, Grace O., Milos Balac, and Kay W. Axhausen. 2020. “Agent-Based Models in Transport Planning: Current State, Issues, Expectations.” Procedia Computer Science 170: 726–732. https://doi.org/10.1016/j.procs.2020.03.164.
  • Karakitsiou, Athanasia. 2015. Modeling Discrete Competitive Facility Location. In SpringerBriefs in Optimization. Springer International Publishing. https://doi.org/10.1007/978-3-319-21341-5.
  • Lee, EunSu. 2023. Geographic Information Systems for Intermodal Transportation Lee, 311–333. Elsevier. https://doi.org/10.1016/b978-0-323-90129-1.00002-x.
  • Lin, J.-J., C.-T. Lin, and C.-M. Feng. 2018. “Locating Rental Stations and Bikeways in a Public Bike System.” Transportation Planning and Technology 41 (4): 402–420. https://doi.org/10.1080/03081060.2018.1453915.
  • Maheshwari, Tanvi, Pieter Fourie, Sergio Arturo Ordoñez Medina, and Kay W. Axhausen. 2023. “Iterative Urban Design and Transport Simulation Using Sketch MATSim.” Journal of Urban Design 00 (00): 1–24. https://doi.org/10.1080/13574809.2023.2214080.
  • Meddin, Russell, and Paul J DeMaio. 2021. “The Meddin Bike-Sharing World Map.” PBSC Urban Solutions, October. https://bikesharingworldmap.com/#/all/2.3/8.06/54.59/%0Ahttps://bikesharingworldmap.com/#/all/2.3/−1.57/33.92/%0Ahttps://bikesharingworldmap.com/#/all/6.9/−72.01/19.73/.
  • Mix, Richard, Ricardo Hurtubia, and Sebastián Raveau. 2022. “Optimal Location of Bike-Sharing Stations: A Built Environment and Accessibility Approach.” Transportation Research Part A: Policy and Practice 160 (July 2020): 126–142. https://doi.org/10.1016/j.tra.2022.03.022.
  • Mobilitätsagentur Wien GmBH. 2019. Vienna Mobility Report. Vienna. https://www.mobilitaetsagentur.at/wp-content/uploads/2020/04/Mob_Report_EN_2019_RZscreen.pdf.
  • Müller, Johannes, Markus Straub, Gerald Richter, and Christian Rudloff. 2022. “Integration of Different Mobility Behaviors and Intermodal Trips in MATSim.” Sustainability (Switzerland) 14 (1): 428. https://doi.org/10.3390/su14010428.
  • Nagel, Kai, Benjamin Kickhöfer, Andreas Horni, and David Charypar. 2016. “A Closer Look at Scoring.” In The Multi-Agent Transport Simulation MATSim, 23–34. https://doi.org/10.5334/baw.3.
  • National Association of City Transportation Officials. 2016. “Bike Share Station Siting Guide”: 73. http://nacto.org/wp-content/uploads/2016/04/NACTO-Bike-Share-Siting-Guide_FINAL.pdf.
  • Neumann-Saavedra, Bruno Albert, Dirk Christian Mattfeld, and Mike Hewitt. 2021. “Assessing the Operational Impact of Tactical Planning Models for Bike-Sharing Redistribution.” Transportation Research Part A: Policy and Practice 150 (June): 216–235. https://doi.org/10.1016/j.tra.2021.06.003.
  • Park, Chung, and So Young Sohn. 2017. “An Optimization Approach for the Placement of Bicycle-Sharing Stations to Reduce Short Car Trips: An Application to the City of Seoul.” Transportation Research Part A: Policy and Practice 105 (August): 154–166. https://doi.org/10.1016/j.tra.2017.08.019.
  • Reck, Daniel J., He Haitao, Sergio Guidon, and Kay W. Axhausen. 2021. “Explaining Shared Micromobility Usage, Competition and Mode Choice by Modelling Empirical Data from Zurich, Switzerland.” Transportation Research Part C: Emerging Technologies 124 (June 2020): 102947. https://doi.org/10.1016/j.trc.2020.102947.
  • Rennie, Nicola, Catherine Cleophas, Adam M. Sykulski, and Florian Dost. 2023. “Analysing and Visualising Bike-Sharing Demand with Outliers.” Discover Data 1 (1). https://doi.org/10.1007/s44248-023-00001-z.
  • Schmid, Basil, S. Jokubauskaite, F. Aschauer, S. Peer, R. Hössinger, R. Gerike, S. R. Jara-Diaz, and K. W. Axhausen. 2019. “A Pooled RP/SP Mode, Route and Destination Choice Model to Investigate Mode and User-Type Effects in the Value of Travel Time Savings.” Transportation Research Part A: Policy and Practice 124 (April): 262–294. https://doi.org/10.1016/j.tra.2019.03.001.
  • Schütze, Till. 2023. “Simulation of Dynamic Pricing for Station-Based Bike-Sharing Systems Using MATSim.” https://doi.org/10.3929/ethz-b-000631577
  • Shaheen, Susan, and Nelson Chan. 2016. “Mobility and the Sharing Economy: Potential to Facilitate the First-and Last-Mile Public Transit Connections.” Built Environment 42 (4): 573–588. https://doi.org/10.2148/benv.42.4.573.
  • Smart City Strategy Vienna. 2022. Vienna. https://smartcity.wien.gv.at/.
  • Soriguera, Francesc, Víctor Casado, and Enrique Jiménez. 2018. “A Simulation Model for Public Bike-Sharing Systems.” Transportation Research Procedia 33: 139–146. https://doi.org/10.1016/j.trpro.2018.10.086.
  • Willberg, Elias, Maria Salonen, and Tuuli Toivonen. 2021. “What Do Trip Data Reveal About Bike-Sharing System Users?” Journal of Transport Geography 91 (January): 102971. https://doi.org/10.1016/j.jtrangeo.2021.102971.
  • Yin, Zhuoli, K. Hardaway, Y. Feng, Z. Kou, and H. Cai. 2023. “Understanding the Demand Predictability of Bike Share Systems: A Station-Level Analysis.” Frontiers of Engineering Management 10 (4): 551–565. https://doi.org/10.1007/s42524-023-0279-8.
  • Yuan, Meng, Q. Zhang, B. Wang, Y. Liang, and H. Zhang. 2019. “A Mixed Integer Linear Programming Model for Optimal Planning of Bicycle Sharing Systems: A Case Study in Beijing.” Sustainable Cities and Society 47 (March): 101515. https://doi.org/10.1016/j.scs.2019.101515.
  • Zhang, Liye, Z. Xiao, S. Ren, Z. Qin, R. S. M. Goh, and J. Song. 2022. “Measuring the Vulnerability of Bike-Sharing System.” Transportation Research Part A: Policy and Practice 163 (October 2019): 353–369. https://doi.org/10.1016/j.tra.2022.05.019.