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2016 | Book

Service Network Design of Bike Sharing Systems

Analysis and Optimization

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About this book

This monograph presents a tactical planning approach for service network design in metropolitan areas. Designing the service network requires the suitable aggregation of demand data as well as the anticipation of operational relocation decisions. To this end, an integrated approach of data analysis and mathematical optimization is introduced. The book also includes a case study based on real-world data to demonstrate the benefit of the proposed service network design approach. The target audience comprises primarily research experts in the field of traffic engineering, but the book may also be beneficial for graduate students.

Table of Contents

Frontmatter
Chapter 1. Introduction
Abstract
The main contribution of this work is introducing the notion of service network design (SND) for tactical planning of bike sharing systems (BSS). Therefore, an integrated approach of data analysis and mathematical optimization is pursued to provide input data and support decisions on SND. By introducing the notion of SND to BSS, this work aims to show the usefulness and benefit of tactical planning for shared mobility systems (SMS).
Patrick Vogel

Problem Description

Frontmatter
Chapter 2. Bike Sharing in the Context of Urban Mobility
Abstract
The trend of growing interest in alternative urban transportation modes continues. Today’s urban transportation infrastructure is often used to capacity and thus suffers from inefficiency. There is need for innovative and sustainable mobility to better use existing infrastructure. Moreover, new mobility concepts should satisfy the requirements of recently changing mobility needs of people while ensuring the viability of urban transportation and living. In this domain, SMS such as BSS or car sharing systems (CSS) have become more and more popular in recent years offering vehicles for collaborative use. Despite the great popularity, a common definition distinguishing shared mobility from traditional transportation services is lacking. However, understanding the characteristics of SMS and mobility behavior of users is essential in order to support the reliable provision of service. In particular, modeling mobility behavior in SMS requires a thorough understanding of mobility itself.
Patrick Vogel
Chapter 3. Service Network Design as a Logistical Challenge in the Reliable Provision of Service in Bike Sharing Systems
Abstract
While the usage of SMS is often simple, inexpensive, and convenient from a user’s point of view, the design, management and operation of SMS from an operator’s point of view remain even more challenging. In particular, BSS stands out due to highly dynamic mobility behavior of users that has to be anticipated at all levels of planning. On the one hand side, trips follow typical mobility patterns in the course of the day and week caused by, e.g., commuter, leisure, or tourist activities. On the other hand side, demand for trips is distorted by events, e.g., failure of bike stations, traffic jams or sport events, and weather effects such as seasonal temperature and sudden rain.
Patrick Vogel

Intelligent Data Analysis

Frontmatter
Chapter 4. Determination of Typical Bike Flows
Abstract
Information systems supporting BSS operation automatically collect extensive amounts of detailed trip data. Trip data represent individual observations of user mobility behavior, and are therefore not suited as input for tactical planning.
Patrick Vogel
Chapter 5. Case Study: Generation of Typical Bike Flows for Citybike Wien
Abstract
Typical bike flows are required as input for SND. Therefore, the presented IM is put into practice. It is parameterized exemplarily based on real-world trip data provided by Citybike Wien.
Patrick Vogel

Optimization

Frontmatter
Chapter 6. Service Network Design of Bike Sharing Systems
Abstract
SND models are well established to support tactical decisions in the field of logistics. An optimization model for tactical planning of BSS following the notion of SND is absent so far. Nevertheless, SND models from the field of freight transportation mainly address the presented requirements of tactical planning of BSS (cf. Sect. 3.​2.​2). The core of SND of BSS comprises the fill levels that can be regarded as the capacity of transportation centers and relocation of bikes that can be regarded as the transportation of freight in the network. Still, adaption is required.
Patrick Vogel
Chapter 7. Case Study: Service Network Design of Citybike Wien
Abstract
In the following case study, the presented SND approach is applied to the real-world BSS CBW in order to demonstrate its benefit and usefulness as well as the interplay of information and optimization model. The generated demand scenarios serve as input for the proposed SND optimization model and methods. Insights into the performance of solution methods, particularly the HM, for this small but real-world BSS instance are given. In addition, a case study from a management point of view is presented describing results of SND along spatiotemporal dimensions.
Patrick Vogel

Conclusion

Frontmatter
Chapter 8. Conclusions and Outlook
Abstract
This work lays the foundation for SND of BSS and related SMS. Designing a service network requires the suitable aggregation of operational data as well as the anticipation of operational decisions. Therefore, an integrated approach of IDA and mathematical optimization for SND of BSS has been proposed. The presented IM allows for the generation of demand scenarios in terms of typical bike flows. Derived scenarios serve as input for SND optimization. The MIP-based SND optimization model determines the optimal fill level at stations in the course of the day minimizing the expected costs of relocation services while ensuring a predefined service level.
Patrick Vogel
Backmatter
Metadata
Title
Service Network Design of Bike Sharing Systems
Author
Patrick Vogel
Copyright Year
2016
Electronic ISBN
978-3-319-27735-6
Print ISBN
978-3-319-27734-9
DOI
https://doi.org/10.1007/978-3-319-27735-6

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