Crowdsourcing the Robin Hood effect in cities
April 28, 2016 Β· Declared Dead Β· π Applied Network Science
"No code URL or promise found in abstract"
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Authors
Thomas Louail, Maxime Lenormand, Juan Murillo Arias, JosΓ© J. Ramasco
arXiv ID
1604.08394
Category
physics.soc-ph
Cross-listed
cs.CY,
cs.SI
Citations
21
Venue
Applied Network Science
Last Checked
3 months ago
Abstract
Socioeconomic inequalities in cities are embedded in space and result in neighborhood effects, whose harmful consequences have proved very hard to counterbalance efficiently by planning policies alone. Considering redistribution of money flows as a first step toward improved spatial equity, we study a bottom-up approach that would rely on a slight evolution of shopping mobility practices. Building on a database of anonymized credit card transactions in Madrid and Barcelona, we quantify the mobility effort required to reach a reference situation where commercial income is evenly shared among neighborhoods. The redirections of shopping trips preserve key properties of human mobility, including travel distances. Surprisingly, for both cities only a small fraction ($\sim 5 \%$) of trips need to be altered to reach equity situations, improving even other sustainability indicators. The method could be implemented in mobile applications that would assist individuals in reshaping their shopping practices, to promote the spatial redistribution of opportunities in the city.
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