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A main challenge lies in transforming these big data into meaningful knowledge that can inform a city\u2019s strategic decisions and enhance urban sustainability. Along with this challenge is the debate about \u201cWisdom of Crowds\u201d (WOC) in the Petabyte Age. Using the City of Arlington, Texas as a case study, this research explores a hybrid approach for social inquiries with the aid of WOC and spatial learning techniques to leverage data for developing predictive models to support a city\u2019s service planning. The results indicate that there exist temporal and spatial patterns of service demands, spatial correlation between demands for code compliance and water services, as well as association with neighborhood characteristics. 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