This project analyzes restaurant site selection in Cambridge by examining human mobility patterns, street network centrality, and land use. Using check-in data from Gowalla and OSMnx for street network and land-use mapping, it identifies optimal restaurant locations. The study prioritizes accessibility to maximize foot traffic and profitability.
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This project analyzes restaurant site selection in Cambridge by examining human mobility patterns, street network centrality, and land use. Using check-in data from Gowalla and OSMnx for street network and land-use mapping, it identifies optimal restaurant locations. The study prioritizes accessibility to maximize foot traffic and profitability.
adefebrisp/SiteSelection-MobilityAndNetworkAnalysis
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This project analyzes restaurant site selection in Cambridge by examining human mobility patterns, street network centrality, and land use. Using check-in data from Gowalla and OSMnx for street network and land-use mapping, it identifies optimal restaurant locations. The study prioritizes accessibility to maximize foot traffic and profitability.
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