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B14: GI_Forum Special Session: Food - Local and Global Challenges
Mittwoch, 03.07.2019:
13:00 - 14:30

Chair der Sitzung: Sabine Hennig
Ort: B - Blauer Hörsaal

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Status Quo and Potential of Food Sharing Activities. The Mundraub project

Sabine Hennig

University of Salzburg, Österreich

The rapid advance of Information and Communication Technologies has triggered a boom in online sharing activities. Meanwhile, sharing economy activities cover many sectors including the food sector. Particularly, regarding food sharing the idea of sustainability, participation, social interaction, and change of behavior play a pivotal role. An example therefore is the Mundraub project which aims at enabling the general public to share information on wild and forgotten fruit and nut trees, berry shrubs, and herbaceous plants located in public space (i.e. urban environment in Germany) and, thus, have others harvest them. Even though the literature highlights many benefits related to the Mundraub project, the question is to what degree the existing potential is actually used. To answer this question data (e.g. mapped plants) accessed from the Mundraub database were analyzed. The results reveal several hotspots and clusters across Germany with a high number of mapped plants, but there are also many areas where only few data are available. To leverage the potential of the Mundraub project, measures related to project publicity, founding of local activity groups and attracting the interest of societal groups which have not been reached by the project so far can be seen as promising.

Associations of Body Mass Index with Food Environments, Physical Activity and Smoking

Pablo Francisco Cabrera-Barona1, Myriam Paredes2, Donald Cole3

1Instituto de Altos Estudios Nacionales, Universidad San Francisco de Quito; 2Facultad Latinoamericana de Ciencias Sociales; 3University of Toronto

This paper identifies spatial patterns of BMI and obesity in the Metropolitan District of Quito, and investigates associations between distances to food outlets, physical activity and smoking (independent variables) and body mass index (BMI) and obesity (BMI > 30) (dependent variables). Spatial patterns of BMI/obesity were identified by applying spatial autocorrelation. Associations between dependent and independent variables were studied by applying global regressions (GR) and geographical weighted regressions (GWR). We identified BMI hot spots in western rural parishes, and hot spots of obesity were found in northern urban parishes. Smoking was found to be a significant factor for BMI and obesity. Distance to supermarkets was found to be a significant predictor for obesity.

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