• Corpus ID: 605900

Mapping Community Engagement with Urban Crowd-Sourcing

@inproceedings{Hristova2012MappingCE,
  title={Mapping Community Engagement with Urban Crowd-Sourcing},
  author={Desislava Hristova and Afra Jahanbakhsh Mashhadi and Giovanni Quattrone and Licia Capra},
  booktitle={ICWSM 2012},
  year={2012}
}
Cities are highly dynamic entities, with urban elements such as businesses, cultural and social Points-of- Interests (POIs), housing, transportation and the like, continuously changing. [] Key Result We observe that spatially clustered crowd-sourcing communities produce higher coverage than those with looser geographic affinity. We discuss the positive implications that this has on the future of urban crowd-sourcing.

Figures and Tables from this paper

Mining Urban Deprivation from Foursquare: Implicit Crowdsourcing of City Land Use
TLDR
The authors study all venues on the Foursquare location-mapping application across a variety of London census areas and conclude that knowing which venues are hosted by which community offers not only insights into neighborhood deprivation but also a reasonable way of predicting community deprivation scores at fine-grained temporal resolutions.
Scaling Crowdsourcing with Mobile Workforce
TLDR
This paper argues that embedding crowdsourcing tasks into the daily routine of mobile workforces that roam around an urban area can be addressed by embedding route augmentation and on-wearable interruptibility management in a wearable smartwatch application supported by a data management infrastructure.
Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing?
TLDR
This paper reports a first-of-its-kind study in which behavioral attributes of mobile postal workers are explored both quantitatively and qualitatively to assess the opportunities of leveraging them for country-scale crowdsourcing tasks.
Crowdsourcing in community participatory planning in China : case studies in four communities in Shenzhen
Community participatory planning is a crucial component of urban planning but there is no effective public participation in the Chinese planning decision-making process, which brings up social
New Trends in Geospatial Information: The Land Surveyors Role in the Era of Crowdsourcing and VGI
The geographic data and knowledge collection and dissemination via authoritative professionals only – characterized as the top- down scheme – has been shifting in the past few years to the bottom-up
On Hyper-local Conversational Agents in Urban Settings
TLDR
A brand-new class of conversational agents that are hyper-local, embedded deeply in a local neighbourhood, e.g., at urban landmarks - providing rich, purposeful, detail, and in some cases playful information relevant to a neighbourhood is envisaged.
Challenges and opportunities on the large scale study of city dynamics using participatory sensing
TLDR
This work analyzes an emerging type of network derived from this type of system, the Participatory Sensor Network (PSN), where nodes are autonomous mobile entities and the sensing depends on whether they want to participate in the sensing process.
Characterizing the Heterogeneity of the OpenStreetMap Data and Community
TLDR
The heterogeneity of the entire OSM database and historical archive in the context of big data is characterized, finding that there are far more small elements than large ones, far more inactive users than active ones, and far more lightly edited elements than heavy-edited ones.
Recent Developments and Future Trends in Volunteered Geographic Information Research: The Case of OpenStreetMap
TLDR
A comprehensive overview of the latest developments in VGI research is presented, focusing on its collaboratively collected geodata and corresponding contributor patterns of OpenStreetMap (OSM).
A definition of community crowdsourcing engagement and application
Crowdsourcing refers to the use of technologies to gather the collective effort and wisdom from an undefined group of online users for organizational innovation and/or problem solving. A critical
...
...

References

SHOWING 1-10 OF 21 REFERENCES
Citizens as sensors: the world of volunteered geography
In recent months there has been an explosion of interest in using the Web to create, assemble, and disseminate geographic information provided voluntarily by individuals. Sites such as Wikimapia and
Lurking? cyclopaths?: a quantitative lifecycle analysis of user behavior in a geowiki
TLDR
Analysis of user behavior in Cyclopath, a geographic wiki and route-finder for bicyclists, is reported on, to replicate and extend prior work on user lifecycles in Wikipedia and demonstrate the locality of geographic activity and how editing and viewing are geographically correlated.
How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information
TLDR
This paper describes three studies that were carried out to evaluate the hypothesis that as the number of contributors increases so does the quality of the data, showing that this rule indeed applies in the case of positional accuracy.
How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets
TLDR
Analysis of the quality of OpenStreetMap information focuses on London and England, since OSM started in London in August 2004 and therefore the study of these geographies provides the best understanding of the achievements and difficulties of VGI.
Finding social roles in Wikipedia
TLDR
The number of new editors playing helpful roles in a single month's cohort nearly equal the number found in the dedicated sample, suggesting that informal socialization has the potential provide sufficient role related labor despite growth and change in Wikipedia.
Geographic routing in social networks
TLDR
A richer model relating geography and social-network friendship is introduced, in which the probability of befriending a particular person is inversely proportional to the number of closer people.
Inferring social ties from geographic coincidences
TLDR
A framework for quantifying the answers to questions about social ties between people is developed, and this framework is applied to publicly available data from a social media site, finding that even a very small number of co-occurrences can result in a high empirical likelihood of a social tie.
Predicting tie strength with social media
TLDR
A predictive model that maps social media data to tie strength is presented, which performs quite well and is illustrated by illustrating how modeling tie strength can improve social media design elements, including privacy controls, message routing, friend introductions and information prioritization.
Birds of a Feather: Homophily in Social Networks
Similarity breeds connection. This principle—the homophily principle—structures network ties of every type, including marriage, friendship, work, advice, support, information transfer, exchange,
...
...