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B15: GI_Forum Special Session: Urban Geoinformatics
15:00 - 16:30
Chair der Sitzung: Bernd Resch
Ort:B - Blauer Hörsaal HS402
Comparing the Spatial and Temporal Activity Patterns between Snapchat, Twitter and Flickr in Florida
Levente Juhász1, Hartwig Hochmair2
1Florida International University, United States of America; 2University of Florida, United States of America
Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyze user activities and social behavior. Although crowd-sourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the various social media platforms target different user groups, which leads to user selection bias. Since data from social media platforms are used for a variety of geospatial applications, understanding such differences and their implications for analysis results is important for geoscientists. Therefore, this research analyzes differences in spatial and temporal contribution patterns to three online platforms, namely Flickr, Twitter and Snapchat, over a six-week period in Florida. For the comparison of spatial contribution patterns, a set of negative binomial regression models are estimated to identify which socio-economic factors and characteristics of the built and natural environments are associated with contribution activities. The contribution differences observed are discussed in light of the targeted user groups and different purposes of the three platforms.
Mapping for Community-Driven Neighborhood Planning: The Case of the South Bronx Land and Community Resource Trust
Monica Flores Castillo, Stephan Petryczka, Joyce Choi-Li, Karlo Ludwig, Yixin Li
Observatorio de Ciudades UC, Pontificia Universidad Católica de Chile, NYU Wagner School of Public Service
The South Bronx neighborhood in New York City has historically been oppressed and left behind by urban planning policies that deliberately created social exclusion in the area. We Stay/Nos Quedamos, a community development organization located in the area, is actively seeking to establish a Community Land Trust (CLT), a mechanism designed to provide homeownership affordability to low-income households.
This study seeks to identify potential sites suitable for acquisition and for establishing a Community Land Trust in the South Bronx area. Analysis is performed using Geographic Information Systems in combination with official New York City data. Moreover, by leveraging NQ’s local knowledge, we propose a critical approach to GIS and official data.
The results of this study will help NQ and local stakeholders in decision-making, support political efforts and negotiations with local authorities in the establishment of a CLT, enhance housing affordability, and consolidate community-managed open spaces in the South Bronx. Furthermore, the methodology presented here will serve as a guide for other local organizations seeking to establish CLTs in their localities, especially in urban settings with a high demand for land acquisition.
Cartoforum – A Map-Based Discussion Forum with Applications in the Planning of Bike Lanes, Community Food Gardens, and Campus Sustainability
Justin Pierre1, Victoria Fast2, Jyothi Kumari3, Claus Rinner1
1Department of Geography and Environmental Studies, Ryerson University; 2Department of Geography, University of Calgary; 3Department of Geology, University of Kerala
Map-based discussion forums are tools for crowdsourcing of people’s ideas and opinions with respect to public planning processes. This information consists of text and other media that are linked to geographic features. Building on the concepts of argumentation mapping, a new tool, Cartoforum, was developed using the Boundless geostack, an open-source geospatial software package. We present the software architecture and functionality along with three pilot studies covering bike lane planning in Toronto, Canada; community garden site selection in the Toronto region; and campus sustainability at the University of Kerala, India. Together, the pilot studies demonstrate the utility of argumentation mapping and illustrate the range of its potential applications in citizen participation.
Detection of Light Pollution Exposure by Means of Measurement
Andrea Pődör1,2, Tamás Papp2, Gábor Horváth2
1UNIGIS Szekeshefervar, Hungary; 2Obuda University AMK GEO
In this study, the authors detected light pollution in an urban environment in small study areas. There were measurements made by Sky Quality Meter to measure sky brightness and the results were processed and analysed. In the study area, we detected the industrial zones produce the highest light pollution. We examine the study area after the replacement of some of the lampposts. We found that the new lamps are much brighter than the old ones, although their light directed correctly to the proper place to reduce light pollution. In a 3D model light trespassing can be visualized, but the correct model