Predicting the use of car parks in the province of Barcelona

Treball fi de màster de: Master in Intelligent Interactive Systems

Detalles Bibliográficos
Autor: Moreno Esteban, David
Tipo de recurso: tesis de maestría
Fecha de publicación:2021
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/49219
Acceso en línea:http://hdl.handle.net/10230/49219
Access Level:acceso abierto
Palabra clave:Parking occupancy
Prediction methods
Temporal series
Covid-19 influence
id ES_6fbb75ffcc899e7b84194309d679d4ce
oai_identifier_str oai:recercat.cat:10230/49219
network_acronym_str ES
network_name_str España
repository_id_str
spelling Predicting the use of car parks in the province of BarcelonaMoreno Esteban, DavidParking occupancyPrediction methodsTemporal seriesCovid-19 influenceTreball fi de màster de: Master in Intelligent Interactive SystemsTutor: Vicenç GómezDesigning and generating wiser policies for urban systems and infrastructures is a challenge of paramount importance. Today, the cities that present the most successful transport strategies are prioritising the movement of people, giving residents and visitors a wider variety of attractive transport options while creating effective ways to switch from private to public transport means. Understanding the use and the impact of public infrastructures that facilitate mobility is crucial. We consider a dataset of one year of activity in the form of car park occupancy in the province of Barcelona. The data comprises ten different parking facilities located close to train stations. We propose and analyze different and intuitive prediction models based on statistical and mathematical approximations. First, we analyze the occupancy recordings in different parking locations and show that the activity is strongly coupled with the circadian rhythm, following a 24-hours cyclic pattern. Second, we implement a predictive model to provide the occupancy of a particular parking for an entire future day. We show that for both, statistical and mathematical approximations it performs quite accurately. Third, we implement a predictive model to guess the occupancy of the remaining hours of the day given the occupancy of the previous hours. Finally, a qualitative and quantitative analysis of the parking occupancy during the Covid-19 pandemic has been performed in order to understand how the global situation has influenced the parking usage. Our results show that, despite the apparent complexity associated to public mobility and use of car parks, very simple models motivated in intuitive principles are sufficient to understand and predict this dynamics. Overall, our results can facilitate the design of public policies to facilitate the mobility within Barcelona and its surroundings, by providing a better understanding of how the citizens switch between private cars and public trains.202120212021info:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/49219reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglés© Tots els drets reservatsinfo:eu-repo/semantics/openAccessoai:recercat.cat:10230/492192026-05-29T05:05:01Z
dc.title.none.fl_str_mv Predicting the use of car parks in the province of Barcelona
title Predicting the use of car parks in the province of Barcelona
spellingShingle Predicting the use of car parks in the province of Barcelona
Moreno Esteban, David
Parking occupancy
Prediction methods
Temporal series
Covid-19 influence
title_short Predicting the use of car parks in the province of Barcelona
title_full Predicting the use of car parks in the province of Barcelona
title_fullStr Predicting the use of car parks in the province of Barcelona
title_full_unstemmed Predicting the use of car parks in the province of Barcelona
title_sort Predicting the use of car parks in the province of Barcelona
dc.creator.none.fl_str_mv Moreno Esteban, David
author Moreno Esteban, David
author_facet Moreno Esteban, David
author_role author
dc.subject.none.fl_str_mv Parking occupancy
Prediction methods
Temporal series
Covid-19 influence
topic Parking occupancy
Prediction methods
Temporal series
Covid-19 influence
description Treball fi de màster de: Master in Intelligent Interactive Systems
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/49219
url http://hdl.handle.net/10230/49219
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv © Tots els drets reservats
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © Tots els drets reservats
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410529280262144
score 15.812455

Similares en LA Referencia