Staff View
Data-driven modeling of taxi trip demand and supply in New York City

Descriptive

TitleInfo
Title
Data-driven modeling of taxi trip demand and supply in New York City
Name (type = personal)
NamePart (type = family)
Yang
NamePart (type = given)
Ci
NamePart (type = date)
1984-
DisplayForm
Ci Yang
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Gonzales
NamePart (type = given)
Eric J.
DisplayForm
Eric J. Gonzales
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Jin
NamePart (type = given)
Peter J.
DisplayForm
Peter J. Jin
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
WANG
NamePart (type = given)
HAO
DisplayForm
HAO WANG
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Noland
NamePart (type = given)
Robert B.
DisplayForm
Robert B. Noland
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (encoding = w3cdtf); (qualifier = exact)
2015
DateOther (qualifier = exact); (type = degree)
2015-10
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2015
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
The taxicab is an important transportation service in New York City (NYC). This dissertation addresses three primary questions related to taxi demand and supply in NYC using innovative data including: a large amount of taxi Global Positioning System (GPS) data that the NYC Taxi & Limousine Commission (TLC) has collected over a two-year period, detailed transit schedule information, and neighborhood characteristics. The three questions are: Is there variability and imbalance between taxi demand and supply across different times of day and different locations in NYC? What factors determine the distribution of demand for taxicab services in NYC by time and by location? How can the imbalance between taxicab demand and supply be identified and quantified in order to guide policies to improve transportation access in NYC? iii The hypothesis is that the variability and imbalance between taxi demand and supply at different times of day and locations exists. Neighborhood characteristics are factors that are expected to be related to the distribution of taxi trips. In the supply analysis, the taxi supply is quantified, an analysis of taxi use every day identifies factors related to the variability of taxi supply over time, and a customer search model was developed to identify areas where drivers of vacant taxis tend to go and to quantify how efficiently drivers of vacant taxis search for their next customer. The model indicates that the NYC taxicabs could be redistributed more efficiently as a system if the taxi drivers are assigned to specific passenger pickups. In trip generation modeling, six important explanatory variables are identified that influence taxi trips: population, education, supply, income, Transit Access Time (TAT), and employment. More complex models involving count regression and accounting for spatial autocorrelation are then developed to understand the imbalance between taxi demand and supply by controlling for the above-mentioned factors. The errors of the trip generation model provide insights of when and where there is insufficient taxi supply or surplus taxi supply relative to taxi demand. A case study is introduced to compare the total cost for two modes of transportation (transit and taxi) between NYC Penn Station and three New York area airports (JFK, LGA and EWR). Transit is found to be more cost-effective than taxi for most times of the day.
Subject (authority = RUETD)
Topic
Civil and Environmental Engineering
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_6654
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xix, 212 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Taxicabs--New York (State)--New York
Subject (authority = ETD-LCSH)
Topic
Transportation demand management
Subject (authority = ETD-LCSH)
Topic
Supply and demand
Note (type = statement of responsibility)
by Ci Yang
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3NP26FZ
Genre (authority = ExL-Esploro)
ETD doctoral
Back to the top

Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Yang
GivenName
Ci
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2015-08-13 21:18:28
AssociatedEntity
Name
Ci Yang
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
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.
RightsEvent
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2015-10-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2016-05-01
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 1st, 2016.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
Back to the top
Version 8.5.5
Rutgers University Libraries - Copyright ©2024