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Active Balancing of Bike Sharing Systems [electronic resource] / by Jan Brinkmann.

By: Brinkmann, Jan [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Mobility: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XXI, 184 p. 48 illus., 1 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030350123.Subject(s): Transportation engineering | Traffic engineering | Control engineering | Operations research | Transportation Technology and Traffic Engineering | Control and Systems Theory | Operations Research and Decision TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 629.04 Online resources: Click here to access online
Contents:
Introduction -- Bike Sharing Systems -- Optimization Problems -- Dynamic Decision Making -- The Stochastic-Dynamic Multi-Vehicle Inventory Routing Problem for Bike Sharing Systems -- Lookahead Policies -- Dynamic Lookahead Horizons -- Case Studies -- Managerial Implications -- Future Research.
In: Springer Nature eBookSummary: This book reports on an operational management approach to improving bike-sharing systems by compensating for fluctuating demand patterns. The aim is to redistribute bikes within the system, allowing it to be “actively” balanced. The book describes a mathematical model, as well as data-driven and simulation-based approaches. Further, it shows how these elements can be combined in a decision-making support system for service providers. In closing, the book uses real-world data to evaluate the method developed and demonstrates that it can successfully anticipate changes in demand, thus supporting efficient scheduling of transport vehicles to manually relocate bikes between stations.
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Introduction -- Bike Sharing Systems -- Optimization Problems -- Dynamic Decision Making -- The Stochastic-Dynamic Multi-Vehicle Inventory Routing Problem for Bike Sharing Systems -- Lookahead Policies -- Dynamic Lookahead Horizons -- Case Studies -- Managerial Implications -- Future Research.

This book reports on an operational management approach to improving bike-sharing systems by compensating for fluctuating demand patterns. The aim is to redistribute bikes within the system, allowing it to be “actively” balanced. The book describes a mathematical model, as well as data-driven and simulation-based approaches. Further, it shows how these elements can be combined in a decision-making support system for service providers. In closing, the book uses real-world data to evaluate the method developed and demonstrates that it can successfully anticipate changes in demand, thus supporting efficient scheduling of transport vehicles to manually relocate bikes between stations.

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