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Integrated Multimedia City Data (iMCD): a composite survey and sensing approach to understanding urban living and mobility

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TypeOfResource
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TitleInfo
Title
Integrated Multimedia City Data (iMCD): a composite survey and sensing approach to understanding urban living and mobility
Name (authority = orcid); (authorityURI = http://id.loc.gov/vocabulary/identifiers/orcid.html); (type = personal); (valueURI = http://orcid.org/0000-0002-5681-2353)
NamePart (type = family)
Thakuriah
NamePart (type = given)
Piyushimita (Vonu)
Affiliation
Dean's Office (Edward J. Bloustein School of Planning, and Public Policy), Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Sila-Nowicka
NamePart (type = given)
Katarzyna
Affiliation
University of Auckland
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Hong
NamePart (type = given)
Jinhyun
Affiliation
University of Glasgow
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Boididou
NamePart (type = given)
Christina
Affiliation
University of Glasgow
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Osborne
NamePart (type = given)
Michael
Affiliation
University of Glasgow
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Lido
NamePart (type = given)
Catherine
Affiliation
University of Glasgow
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
McHugh
NamePart (type = given)
Andrew
Affiliation
University of Glasgow
Role
RoleTerm (authority = marcrt); (type = text)
author
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NamePart
Dean's Office (Edward J. Bloustein School of Planning, and Public Policy)
Genre (authority = RULIB-FS)
Article, Refereed
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Peer reviewed
OriginInfo
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2020
Abstract (type = Abstract)
We describe the Integrated Multimedia City Data (iMCD), a data platform involving detailed person-level self-reported and sensed information, with additional Internet, remote sensing, crowdsourced and environmental data sources that measure the wider social, economic and physical context of the participant. Selected aspects of the platform, which covers the Glasgow, UK, city-region, are available to other researchers, and allows knowledge discovery on critical urban living themes, for example in transportation, lifelong learning, sustainable behavior, social cohesion, ways of being in a digital age, and other topics. It further allows research into the technological and methodological aspects of emerging forms of urban data. Key highlights of the platform include a multi-topic household and person-level survey; travel and activity diaries; a privacy and personal device sensitivity survey; a rich set of GPS trajectory data; accelerometer, light intensity and other personal environment sensor data from wearable devices; an image data collection at approximately 5-second resolution of participants’ daily lives; multiple forms of text-based and multimedia Internet data; high resolution satellite and LiDAR data; and data from transportation, weather and air quality sensors. We demonstrate the power of the platform in understanding personal behavior and urban patterns by means of three examples: an examination of the links between mobility and literacy/learning using the household survey, a social media analysis of urban activity patterns, and finally, the degree of physical isolation levels using deep learning algorithms on image data. The analysis highlights the importance of purposefully designed multi-construct and multi-instrument data collection approaches that are driven by theoretical frameworks underpinning complex urban challenges, and the need to link to policy frameworks (e.g., Smart Cities, Future Cities, UNESCO Learning Cities agendas) that have the potential to translate data to impactful decision-making.
PhysicalDescription
InternetMediaType
application/pdf
Extent
1 online resource (15 pages) : illustrations
Subject (authority = local)
Topic
Wearable sensors
Subject (authority = local)
Topic
Image data
Subject (authority = local)
Topic
Urban metabolism
Subject (authority = local)
Topic
Travel behavior
Subject (authority = local)
Topic
Social media
Subject (authority = local)
Topic
Smart cities
Extension
DescriptiveEvent
Type
Citation
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Name
Computers, Environment and Urban Systems
Type
Journal
Relationship
Has part
Identifier (type = volume and issue)
80
Reference (type = url)
https://doi.org/10.1016/j.compenvurbsys.2019.101427
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
Economic and Social Research Council
AssociatedEntity
Role
Originator
Name
University of Glasgow, UK
AssociatedObject
Type
Grant number
Name
ES/L011921/1
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
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TitleInfo
Title
Thakuriah, Piyushimita (Vonu)
Identifier (type = local)
rucore30269600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/t3-fvwe-0r38
Genre (authority = ExL-Esploro)
Journal Article
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RightsDeclaration (AUTHORITY = FS); (TYPE = [FS] statement #1); (ID = rulibRdec0004)
Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
RightsDeclaration (AUTHORITY = Creative Commons); (TYPE = Attribution (CC BY)); (ID = https://creativecommons.org/licenses/by/4.0/)
This work has been licensed by the rightsholder under a Creative Commons Attribution (CC BY) 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsEvent
Type
Permission or license
AssociatedObject
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers.Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work.I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others.I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work.By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
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Technical

RULTechMD (ID = TECHNICAL1)
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Document
CreatingApplication
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1.7
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2019-11-29T19:30:45
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2019-12-18T16:31:33
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