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dc.contributor.author
Tomarchio, Ludovica
dc.date.accessioned
2019-04-29T11:35:50Z
dc.date.available
2019-04-29T07:03:42Z
dc.date.available
2019-04-29T09:00:32Z
dc.date.available
2019-04-29T09:16:49Z
dc.date.available
2019-04-29T11:35:50Z
dc.date.issued
2019-02
dc.identifier.uri
http://hdl.handle.net/20.500.11850/339868
dc.identifier.doi
10.3929/ethz-b-000339868
dc.description.abstract
The paper presents a mapping process to define activity patterns and reveal the localisation of different city usersin Muscat, Oman, using social media data. The paper has two aims: to present a methodology to map activity patterns in the city in the Omani context, using social media data; to interpret the data and extract valuable narratives for the case study of Muscat. As various social media have penetrated into the daily life of people, these become one important and effective data source to understand how people use the spaces of the city. There is a series of questions related to big data and urban space that emerge such as: can social media data be “mined” in Muscat, Oman, to create design-relevant spatial information? What information about the use of urban space in the context of an Arab city can be extracted from social media data? The case study deals with Muscat, the capital of Oman, a city with peculiar socio-demographic, cultural aspects, influencing the use of the space, particularly when relating to open and public spaces. The proposed study uses data extracted from Twitter and Instagram to perform an analysis of the city of Muscat: The analysis looks at three scales and presents four thematic layers: one layer of generally finding hotspots of activities; two layers of investigating different patterns of activities during the day-night, weekdays-weekends and one layer of looking into the languages spoken in different areas of the city. This results in the mapping of how different social- linguistic groups possibly move and interact in Muscat. The first part of the paper will present the methodology, from data collection to visualisation. The second part will look in detail at some selected areas and exemplify the narrative so that planners and designers can extract data from this approach and methodology.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Future Cities Laboratory Singapore; ETH Zurich
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-sa/4.0/
dc.subject
HUMAN GEOGRAPHY
en_US
dc.subject
Oman (South West Asia). Sultanat of Oman
en_US
dc.subject
social media
en_US
dc.subject
Digital Humanities
en_US
dc.title
Mapping Human Landscapes in Muscat, Oman, with Social Media Data
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution-ShareAlike 4.0 International
dc.date.published
2016-04-15
ethz.pages.start
68
en_US
ethz.pages.end
105
en_US
ethz.size
38 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
Gulf Research Meeting 2016
en_US
ethz.event.location
Cambridge, United Kingdom
en_US
ethz.event.date
August 15-19, 2016
en_US
ethz.publication.place
Singapore; Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00003 - Schulleitung und Dienste::00022 - Bereich VP Forschung / Domain VP Research::08058 - Singapore-ETH Centre (SEC) / Singapore-ETH Centre (SEC)
en_US
ethz.relation.cites
10.3929/ethz-a-010637970
ethz.relation.cites
10.3929/ethz-b-000290644
ethz.relation.cites
10.3929/ethz-b-000238573
ethz.relation.cites
10.3929/ethz-a-010335395
ethz.relation.cites
handle/20.500.11850/120751
ethz.relation.isPartOf
10.3929/ethz-b-000339841
ethz.relation.hasPart
handle/20.500.11850/119083
ethz.date.deposited
2019-04-29T07:03:45Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-04-29T09:00:50Z
ethz.rosetta.lastUpdated
2020-02-15T18:39:44Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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