Testing of traffic reduction policies using a transport demand model

Bibliographic Details
Main Author: Čechová, Natália
Publication Date: 2012
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10316/97106
Summary: Dissertação de Mestrado em Engenharia Mecânica, Energia e Ambiente, apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.
id RCAP_7b862a27dd346a266e34a0cf3a0e8f6d
oai_identifier_str oai:estudogeral.uc.pt:10316/97106
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
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/masterThesishttps://hdl.handle.net/10316/97106https://hdl.handle.net/10316/97106engČechová, Natáliainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2022-05-25T04:36:03Zoai:estudogeral.uc.pt:10316/97106Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:45:40.142647Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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 https://hdl.handle.net/10316/97106
https://hdl.handle.net/10316/97106
url https://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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833602463074091008

Similar Items