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Aimed at the challenges faced by the current urban development and urban planning, along with the research opportunities brought by “big data,” this paper proposes an analytical framework based on crowd-sourced data for urban planning by reviewing related literature and practice. The framework is mainly oriented towards three major requirements of analysis in urban planning: the physical spaces, the user communities, and the social relationships. This analytical framework can be regarded as a preliminary attempt for future data-intensive applications in urban planning and assessment.
Aimed at the challenges faced by the current urban development and urban planning, along with the research opportunities brought by “big data,” this paper proposes an analytical framework based on crowd-sourced data for urban planning by reviewing related literature and practice. The framework is mainly oriented toward three major requirements of analysis in urban planning: the physical spaces, the user communities, and the social relationships. This analytical framework can be viewed as a preliminary attempt for future data-intensive applications in urban planning and assessment.