Services like Uber are challenging traditional sectors such as the taxi industry. However, they may charge more than traditional taxis at time of high-demand. To counter this phenomenon, data analysis could bring full transparency in relation to taxi pricing by delivering a head-to-head comparison of all available taxis types. In this opinion piece, Anastasios Noulas, lecturer at the Data Science Institute at Lancaster University, UK, and OpenStreetCab co-founder, shares his experience of how data-driven solutions can increase transparency in tech-disrupted industries and ultimately provide better value for policy makers from publicly available data. The post From Uber to OpenStreetCab: how data shifts the power back to users appeared first in Euroscientist magazine.
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