Urban Agriculture

The scope of the project was the pillars of modern society; Food, Water, and energy. In which, we developed an interactive online foodprint simulator. My part focused on building a model that maps all of the different food items with the location of the participant then groups the food items into seven classified food groups. By doing so, the participant gets live feedback on the amount of carbon emission produced by each food group and their calories as well.

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Figure 1: Images of the Interactive Online Foodprint Simulator.
Please use the following link to access it online: https://urbanfoodprints.com/#/survey

Next, I worked on analyzing large datasets of over 700 participants from all over the world. Therefore, I developed a model using Python, in which I added different functions to analyze complex components and to answer diverse questions. The model enabled us to easily update the analysis as we receive extra respondents and at the same time, it boosted the accuracy of the results.

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Figure 2: Images of UMI platform

Finally, we developed a gamified platform, which decision-makers and urban planners can utilize to predict the outcome of their decisions and choices on the interaction of the water, food, and energy nexus. Please see figure (2) to see images of the Urban Modeling Interface (UMI) platform.

Kindly use the following link to participate/ access the interactive nline Foodprint Simulator.Please use the following link to access it online: https://urbanfoodprints.com/#/survey

Publications:

Published: Khadija BENIS, Waleed ALHAYAZA, Adnan ALSAATI, and Christoph REINHART, “What’s the Carbon Content of your Food?”--Development of an Interactive Online Foodprint Simulator." Urban Agriculture 2020 - 2nd International Conference on Urban Agriculture and City Sustainability.

Skills:

Python

Information Modeling

QGIS

Data Science

Analysis

مدينة-الملك-عبدالعزيز-للعلوم-والتقنية (1

Waleed Alhayaza Research Specialist