Show simple item record

dc.contributor.author
Jakob, Manuel
dc.contributor.author
Menendez, Monica
dc.date.accessioned
2019-02-21T13:36:00Z
dc.date.available
2017-06-12T06:50:26Z
dc.date.available
2019-02-13T09:04:53Z
dc.date.available
2019-02-13T11:43:10Z
dc.date.available
2019-02-13T11:55:11Z
dc.date.available
2019-02-21T13:36:00Z
dc.date.issued
2016
dc.identifier.uri
http://hdl.handle.net/20.500.11850/116984
dc.identifier.doi
10.3929/ethz-b-000116984
dc.description.abstract
Off-street parking has been gaining attention in recent research, but its interdependency with searching-for- parking traffic and demand-responsive on-street parking pricing is still unknown. In this paper, we develop a macroscopic formulation to model off-street parking dynamically and its interaction with cruising vehicles and on- street parking. The methodology builds on a previous dynamic macroscopic parking pricing study, whose model is extended with off-street parking to better replicate reality. This study focuses on the decision model of parking searchers between paying the on-street parking cost, deciding to use off-street parking, or continuing the parking search to obtain a lower on-street parking cost. The decision for off-street parking is affected by its cost, the off-street parking fee, the users’ driving cost to the off-street parking garage, and the users’ walking distance to their final destination. If drivers decide to use an off-street parking garage, they can access it depending on its current capacity, or alternatively move back into searching-for-on-street-parking traffic state. In other words, the model describes the trade-offs users make between a longer cruising time, a lower price for either on- and off-street parking, a shorter driving distance to the off-street parking location, and a shorter walking distance to their final destination. Compared to most literature, this macroscopic parking model has rather low data requirements, mostly related to average values and probability distributions across time at the network level. Hence, this macroscopic approach saves on data collection efforts and reduces the computational costs significantly. The model provides a preliminary idea for city councils regarding the interdependency between on- and off-street parking pricing, the impacts of off-street parking on the searching-for-on-street-parking traffic (cruising), the congestion in the network (traffic performance), the total driven distance (environmental conditions), and the revenue created by on- and off-street parking fees for the city.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
STRC
en_US
dc.subject
Macroscopic off-street parking model
en_US
dc.subject
Demand-responsive on-street parking pricing
en_US
dc.subject
Parking-related traffic state
en_US
dc.subject
Cruising-for-on-street-parking
en_US
dc.title
A macroscopic off-street parking decision model
en_US
dc.type
Conference Paper
ethz.size
26 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
16th Swiss Transport Research Conference (STRC 2016)
en_US
ethz.event.location
Ascona, Switzerland
en_US
ethz.event.date
May 18-20, 2016
en_US
ethz.publication.place
Ascona
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::08686 - Gruppe Strassenverkehrstechnik
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH::02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::08686 - Gruppe Strassenverkehrstechnik
ethz.date.deposited
2017-06-12T06:51:34Z
ethz.source
ECIT
ethz.identifier.importid
imp5936546fefff832913
ethz.ecitpid
pub:178880
ethz.eth
yes
en_US
ethz.availability
Embargoed
en_US
ethz.date.embargoend
2020-02-21
ethz.rosetta.installDate
2017-07-20T18:34:56Z
ethz.rosetta.lastUpdated
2019-02-21T13:36:11Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=A%20macroscopic%20off-street%20parking%20decision%20model&rft.date=2016&rft.au=Jakob,%20Manuel&Menendez,%20Monica&rft.genre=proceeding&rft.btitle=A%20macroscopic%20off-street%20parking%20decision%20model
 Search via SFX

Files in this item

Thumbnail

Publication type

Show simple item record