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Evaluating the impact of gate strategies on a container terminal's roadside network using microsimulation

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TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Evaluating the impact of gate strategies on a container terminal's roadside network using microsimulation
SubTitle
the Port Newark/Elizabeth case study
Identifier
ETD_2880
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056293
Language
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Civil and Environmental Engineering
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Containerization--New York
Subject (ID = SBJ-3); (authority = ETD-LCSH)
Topic
Containerization--New Jersey
Subject (ID = SBJ-4); (authority = ETD-LCSH)
Topic
Statistical matching
Abstract (type = abstract)
Intermodal Marine Container Terminals (IMCTs) are experiencing consistent growth in container volumes and are under pressure to come up with strategies to increase their capacity to accommodate the increasing demand. In addition to the deterioration of the performance of terminal and drayage operations, the environmental effect from idling trucks has been starting to emerge as a serious problem. Different solutions have been proposed to address the issue and reduce the amount of externalities from drayage operations including new technologies, operational strategies and financial mechanisms. The purpose of this thesis is to develop a simulation model capable of modeling a number of different gate strategies, using real world data, and evaluate the possible benefits that different operational improvements may have in reducing congestion in the vicinity of the terminals. For the purpose of the thesis the Port of Newark/Elizabeth in New York and New Jersey was selected to evaluate the roadside impacts of the two most common operational strategies (a gate appointment system and extended gate hours) using dynamic microsimulation. Several demand shifting scenarios were tested for a base year and future years and an extensive sensitivity analysis was performed based on the output of these simulations. Results from the sensitivity analysis were used to determine the percentage of truck demand that would theoretically need to be shifted to off peak weekday or weekend hours in order to maintain an efficient level of service on the roadway network at the Port Newark/Elizabeth for each simulated year.
PhysicalDescription
Form (authority = gmd)
electronic resource
Extent
xii, 122 p. : ill., maps
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Patrick Shane Dougherty
Name (ID = NAME-1); (type = personal)
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Dougherty
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Patrick Shane
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author
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Patrick Dougherty
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Boile
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Maria
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chair
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Advisory Committee
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Maria Boile
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Ozbay
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Kaan
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internal member
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Advisory Committee
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Kaan Ozbay
Name (ID = NAME-4); (type = personal)
NamePart (type = family)
Najm
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Husam
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internal member
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Advisory Committee
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Husam Najm
Name (ID = NAME-5); (type = personal)
NamePart (type = family)
Golias
NamePart (type = given)
Mihalis
Role
RoleTerm (authority = RULIB)
outside member
Affiliation
Advisory Committee
DisplayForm
Mihalis Golias
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
OriginInfo
DateCreated (qualifier = exact)
2010
DateOther (qualifier = exact); (type = degree)
2010-10
Place
PlaceTerm (type = code)
xx
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3154GSR
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
Dougherty
GivenName
Patrick
Role
Copyright Holder
RightsEvent (ID = RE-1); (AUTHORITY = rulib)
Type
Permission or license
DateTime
2010-09-20 12:25:46
AssociatedEntity (ID = AE-1); (AUTHORITY = rulib)
Role
Copyright holder
Name
Patrick Dougherty
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject (ID = AO-1); (AUTHORITY = rulib)
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Technical

ContentModel
ETD
MimeType (TYPE = file)
application/pdf
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application/x-tar
FileSize (UNIT = bytes)
3727360
Checksum (METHOD = SHA1)
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