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While their predictive accuracy has been extensively studied, less attention has been paid to their systemic impact on urban dynamics. In this work, we introduce a simulation framework to model the human\u2013AI feedback loop underpinning next-venue recommendation, capturing how algorithmic suggestions influence individual behaviour, which in turn reshapes the data used to retrain the models. Our simulations, grounded in real-world mobility data, systematically explore the effects of algorithmic adoption across a range of recommendation strategies. We find that while recommender systems consistently increase individual-level diversity in visited venues, they may simultaneously amplify collective inequality by concentrating visits on a limited subset of popular places. This divergence extends to the structure of social co-location networks, revealing broader implications for urban accessibility and spatial segregation. Our framework operationalizes the feedback loop in next-venue recommendation and offers a novel lens through which to assess the societal impact of AI-assisted mobility, providing a computational tool to anticipate future risks, evaluate regulatory interventions, and inform the design of ethic algorithmic systems.<\/jats:p>","DOI":"10.1007\/s10994-025-06904-z","type":"journal-article","created":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T22:39:54Z","timestamp":1767911994000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["The urban impact of AI: modelling feedback loops in location-based recommender systems"],"prefix":"10.1007","volume":"115","author":[{"given":"Giovanni","family":"Mauro","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Minici","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luca","family":"Pappalardo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,1,8]]},"reference":[{"issue":"5","key":"6904_CR1","doi-asserted-by":"publisher","first-page":"1890","DOI":"10.1287\/msom.2023.1221","volume":"25","author":"P Af\u00e8che","year":"2023","unstructured":"Af\u00e8che, P., Liu, Z., & Maglaras, C. 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