A discrete-event public transportation simulation model to evaluate travel demand management impacts on waiting times and crowding conditions

Simple item page
dc.article.number100075
dc.catalogadoryvc
dc.contributor.authorSoza-Parra, J.
dc.contributor.authorTiznado-Aitken, Ignacio
dc.contributor.authorMuñoz Abogabir, Juan Carlos
dc.contributor.otherCEDEUS (Chile)
dc.date.accessioned2024-07-12T18:27:40Z
dc.date.available2024-07-12T18:27:40Z
dc.date.issued2023
dc.description.abstractSeveral approaches have been proposed and adopted by researchers and decision-makers to improve and deal with public transport operation issues, especially travel demand management (TDM) measures. Disruptions like lockdowns provoked by weather conditions, political riots, special events, natural disaster issues, or the recent COVID-19 pandemic create a need for tools to manage public transport demand and supply o keep users circulating in an efficient, convenient and safe manner. Our work develops a simulation tool of the operations of a public transport system using smart card, GTFS and census data to evaluate the impacts of different intervention scenarios using the pandemic context as a case study. Using a pre-pandemic baseline scenario, we study the impact of several travel demand and public transport supply measures, focusing the analysis on waiting times and crowding conditions inside vehicles and platforms. As a result, we generate easy-to-analyze visual outputs that facilitate prioritizing actions at the metropolitan and district level, identifying where and when waiting times and crowding conditions would exceed certain thresholds.
dc.description.funderCEDEUS N° 15110020
dc.fechaingreso.objetodigital2024-07-19
dc.fuente.origenScopus
dc.identifier.doi10.1016/j.jpubtr.2023.100075
dc.identifier.scopusidScopus_ID=2-s2.0-85175421171
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85175421171&doi=10.1016%2fj.jpubtr.2023.100075&partnerID=40&md5=e159389c6e7dc96ad99a5d618745a0bc
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/87061
dc.information.autorucEscuela de Ingeniería;Muñoz Abogabir, Juan Carlos;0000-0003-1775-985X;75822
dc.language.isoen
dc.nota.accesocontenido completo
dc.publisherElsevier B.V.
dc.revistaJournal of Public Transportation
dc.rightsacceso abierto
dc.rights.licenseCC BY-NC-ND Attribution International 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.titleA discrete-event public transportation simulation model to evaluate travel demand management impacts on waiting times and crowding conditions
dc.typeartículo
dc.volumen25
sipa.codpersvinculados75822
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A discrete event public transportation simulation model.pdf
Size:
9.75 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
CEDEUS
Artículos de revistas