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An Optimisation Algorithm to Establish the Location of Stations of a Mixed Fleet Biking System: An Application to the City of Lisbon
Author(s) -
Luis Martínez,
Luís Caetano,
Tomás Eiró,
Francisco Cruz
Publication year - 2012
Publication title -
procedia - social and behavioral sciences
Language(s) - English
Resource type - Journals
ISSN - 1877-0428
DOI - 10.1016/j.sbspro.2012.09.769
Subject(s) - relocation , software deployment , heuristic , dimension (graph theory) , service (business) , bike sharing , computer science , integer programming , transport engineering , operations research , algorithm , engineering , business , mathematics , artificial intelligence , marketing , pure mathematics , programming language , operating system
This paper presents the design and deployment of a bike-sharing system developed for Lisbon. The design of this new service is performed through an heuristic, encompassing a Mixed Integer Linear Program (MILP), that simultaneously optimise the location of shared biking stations, the fleet dimension and measuring the bicycle relocation activities required in a regular operation day. The results obtained for the several tested scenarios provided better insights into knowing how to improve the design and operation of these systems

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