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Title:

Modeling Station-Based and Free-Floating Carsharing Demand: Test Case Study for Berlin

Accession Number:

01519810

Record Type:

Component

Availability:

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Order URL: http://www.trb.org/Main/Blurbs/171450.aspx

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Order URL: http://worldcat.org/isbn/9780309295116

Abstract:

Carsharing, in any form, is still growing around the world. One of the effects is the increasing number of cities in which multiple carsharing operators are competing. The carsharing industry has never been as competitive as it is now: the present is a good time for researchers to invest efforts in providing tools for the assessment and planning of carsharing programs. Nevertheless, efforts in this direction are still scarce, in particular for some of the newest forms in which carsharing has been implemented, such as free-floating carsharing. This paper reports on a study that made use of MATSim, an agent-based simulation software that had already been used to model station-based carsharing, to evaluate different carsharing scenarios for the city of Berlin. The main findings are the existing high potential to extend carsharing services further in Berlin and the apparent complementarity of station-based and free-floating carsharing. On the methodological level, the work introduces a new tool for the modeling of free-floating carsharing along with improvements of the previously existing station-based carsharing model.

Monograph Accession #:

01539618

Report/Paper Numbers:

14-4390

Language:

English

Authors:

Ciari, Francesco
Bock, Benno
Balmer, Michael

Pagination:

pp 37–47

Publication Date:

2014

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2416
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309295116

Media Type:

Print

Features:

Figures (5) ; References (18) ; Tables (1)

Identifier Terms:

Geographic Terms:

Subject Areas:

Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:31PM

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