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Title:

Insights into Carsharing Demand Dynamics: Outputs of an Agent-Based Model Application to Lisbon, Portugal

Accession Number:

01552984

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Two important reasons claiming for carsharing systems are their increased flexibility and potential contribution to reducing transport externalities such as pollution. Carsharing typically involves a fleet of vehicles in stations around a city that clients may use on an hourly-payment basis. Classical round-trip systems address a niche market of urban trips like shopping and errands, however a growing market is now rising providing one-way trips to clients. Great uncertainty remains on the financial and economic viability of this type of carsharing given the complex relation between supply and demand, and how this may impact the level of service provided. Realistic modeling tools that include both supply and demand characterization and allow testing several operational parameters of carsharing systems are scarce. In this sense, a detailed agent-based model (ABM) was developed to simulate one-way carsharing systems. The simulation incorporates a stochastic demand model discretized in time and space and a detailed environment characterization with realistic travel times in the road network. The model was applied to the case-study city of Lisbon to understand the complex relationship between carsharing supply and demand. Results show that comparing to other modes, carsharing performs worse than private cars both in terms of time and cost. Nevertheless, it clearly outperforms taxis in terms of cost, and outperforms buses, metro and walking in terms of travel time. The competitiveness of carsharing is highly determined by trip length, becoming more competitive than other modes (travel-time wise) as trips become longer.

Supplemental Notes:

This paper was sponsored by TRB committee ANF20 Bicycle Transportation.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-3378

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Lopes, Mafalda Mendes
Martínez, L Miguel
Correia, Gonçalo Homem de Almeida
Moura, Filipe

Pagination:

18p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Uncontrolled Terms:

Agent based models

Geographic Terms:

Lisbon (Portugal)

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-3378

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:08PM