Tag: similarity measures
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Publication – Reconsidering Utility: Unveiling the Limitations of Synthetic Mobility Data Generation Algorithms in Real-Life Scenarios
We investigated the utility of five models that create synthetic urban mobility data from raw privacy-sensitive data. Tl;dr: synthetic trips do not provide the expected high flexibility and utility and should be used with care. https://dl.acm.org/doi/10.1145/3589132.3625661 Why synthetic data? Human movement data is highly sensitive, however, data sharing is desirable for many use cases, including…
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Quantifying the Similarity between Maps
Using the earth mover’s distance to quantify the similarity between two maps with implementations in Python and R. When you implement a privacy measure, e.g., adding noise to data, you are interested to know how similar your noisy data is compared to your original data. Therefore, there are various similarity metrics to quantify the difference…
Alexandra Kapp 