Testing of traffic reduction policies using a transport demand model

Detalhes bibliográficos
Autor(a) principal: Čechová, Natália
Data de Publicação: 2012
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/97106
Resumo: Dissertação de Mestrado em Engenharia Mecânica, Energia e Ambiente, apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.
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spelling Testing of traffic reduction policies using a transport demand modelTraffic modellingTDM policyCO2 emissionstraffic congestionparkingcarpoolingroad tollpublic transportationDissertação de Mestrado em Engenharia Mecânica, Energia e Ambiente, apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.This thesis aimed to test the impact of various transport demand management (TDM) measures on traffic road assignment in transport demand macro model developed for the city of Coimbra in software VISUM 12.0. The policies tested in the model were parking policy, carpooling incentives, urban road tolling policy and improvement of public bus transit, as well as strategic combinations of all of those policies. The study measures the impact on aggregated values for private vehicle volumes, fossil fuel consumption and CO2 emissions from the traffic in the city of Coimbra with complementary geographical representation. The strategic policy scenario consisting of combination of all the measures that were tested resulted in a 4% reduction of CO2 emissions (19.76 tonnes), 4% reduction of fuel consumption (6.34 tonnes) and 506’969 vehicles per km in 24 hours of a non-eventful working day. It was able to target the zones with the highest demand for commuting represented as reduction of 2.1% of trip origins and 5% of trip destinations in the zones. These policies were also able to target the most congested or the most polluted roads in the inner city and reduce CO2 emissions and private vehicle volumes. It was found that road tolling, higher parking fees and extended paid areas can lead to a different route choice of private vehicle instead of shift to public transport or walking. Thus their effectiveness in reducing CO2 emissions and private vehicle volumes can be lower. Additionally a road slopes in the city influence the results of policies aiming to reduce CO2 emissions. It was concluded that the macro model simulation plays important role in obtaining the aggregated results with macro projection of the traffic situation after a TDM policy. In the same time, careful multi-criteria policy modelling and a complementary micro simulation of traffic situation in the city will be necessary part when testing the effect of TDM policies.2012-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10316/97106http://hdl.handle.net/10316/97106engČechová, Natáliainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-05-25T04:36:03Zoai:estudogeral.uc.pt:10316/97106Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:15:13.438711Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Testing of traffic reduction policies using a transport demand model
title Testing of traffic reduction policies using a transport demand model
spellingShingle Testing of traffic reduction policies using a transport demand model
Čechová, Natália
Traffic modelling
TDM policy
CO2 emissions
traffic congestion
parking
carpooling
road toll
public transportation
title_short Testing of traffic reduction policies using a transport demand model
title_full Testing of traffic reduction policies using a transport demand model
title_fullStr Testing of traffic reduction policies using a transport demand model
title_full_unstemmed Testing of traffic reduction policies using a transport demand model
title_sort Testing of traffic reduction policies using a transport demand model
author Čechová, Natália
author_facet Čechová, Natália
author_role author
dc.contributor.author.fl_str_mv Čechová, Natália
dc.subject.por.fl_str_mv Traffic modelling
TDM policy
CO2 emissions
traffic congestion
parking
carpooling
road toll
public transportation
topic Traffic modelling
TDM policy
CO2 emissions
traffic congestion
parking
carpooling
road toll
public transportation
description Dissertação de Mestrado em Engenharia Mecânica, Energia e Ambiente, apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.
publishDate 2012
dc.date.none.fl_str_mv 2012-07
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/97106
http://hdl.handle.net/10316/97106
url http://hdl.handle.net/10316/97106
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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