EconPapers    
Economics at your fingertips  
 

Station-Based Electric Carsharing: A Decision Support System for Network Generation

Marc-Oliver Sonneberg and Michael H. Breitner

Chapter 8 in Electric Vehicles in Shared Fleets:Mobility Management, Business Models, and Decision Support Systems, 2022, pp 173-192 from World Scientific Publishing Co. Pte. Ltd.

Abstract: Electric carsharing is a mobility alternative addressing the world’s growing need for sustainability and allowing to reduce pollution, traffic congestion, and shortage of parking in cities. Since electric vehicles cut down carbon emissions through the use of renewable energy and reduce noise exposure compared to conventionally powered vehicles, they further enhance ecological sustainability within an even sustainable concept. For carsharing services, electric vehicles are a suitable fit for carsharing because typical carsharing trips are comparatively short, resulting in uncritical range restrictions for the trips itself. Yet, only station-based approaches can appropriately accommodate charging infrastructures and suitably account for range limitations and charging cycles.The positioning and sizing of carsharing stations are critical success factors for reaching many potential users. This represents a multi-dimensional challenge that requires decision makers to address the conflicting goals of fulfilling demands and maximizing profit. To provide decision support in anticipating optimal locations and to further achieve profitability, an optimization model is developed in this chapter. The integration of the model into a decision support system (DSS) enables easy operability by assisting the user to import, edit, export, and visualize data. Solutions are illustrated, discussed, and evaluated using the city of Portland (OR) as a computational study. Results demonstrate the applicability of the DSS indicating that profitable operation of electric carsharing is possible.

Keywords: Electric Vehicles; Shared Fleets; Carsharing; Mobility; Mobility Management; Business Models; Decision Support Systems; Information Systems (search for similar items in EconPapers)
JEL-codes: L9 M1 O31 O32 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9781800611429_0008 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9781800611429_0008 (text/html)
Ebook Access is available upon purchase.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9781800611429_0008

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-04-13
Handle: RePEc:wsi:wschap:9781800611429_0008