@incollection{improving-gsi-incollection-2020,
author = "L{\'o}pez Santiago, Alberto and Iglesias, Carlos A. and Carrera Barroso, {\'A}lvaro",
abstract = "ties around the world to reduce the traffic generated by
motorized vehicles, due to the benefits they bring to the city, such as
reducing congestion or decreasing pollution generation. Caused by their
impact on urban mobility, the research community has increased their
interest in their study, trying to understand user behavior and improving
the user experience. This paper has the goal of analyzing the impact of
different policies of incentives on the user experience and their impact on
the BSS service. An agent-based simulation model has been developed
using data collected from the BSS service of Madrid, so-called BiciMad.
Route generation has been calculated based o n OpenStreetMaps. The
system has been evaluated, analyzing the results generated on different
incentive policies. The main conclusion is that variable incentives outperform the current incentive policy of the service. Finally, a sensitivity
analysis is presented to validate the proper variability of results for the
model parameters.",
booktitle = "Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness The PAAMS Collection",
doi = "https://doi.org/10.1007/978-3-030-49778-1 _ 13",
editor = "Demazeau, Ives and Holvoet, Tom and Corchado, Juan M. and Costantini, Stefania",
isbn = "0302-9743",
keywords = "agent based social simulation;incentives;bike sharing systems",
month = "July",
organization = "PAAMS 2020",
pages = "158-170",
publisher = "Springer Verlag",
title = "{I}mproving {S}ustainable {M}obility with a {V}ariable {I}ncentive {M}odel for {B}ike-{S}haring {S}ystems {B}ased on {A}gent-{B}ased {S}ocial {S}imulation",
year = "2020",
}