What is urban analytics? Discuss salient features of urban analytics.

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Urban analytics refers to the systematic use of data, technology, and analytical techniques to understand, plan, and manage urban environments more effectively. It involves collecting, processing, and analyzing vast amounts of information from various sources, including sensors, social media, administrative records, satellite imagery, and mobile devices. The primary goal of urban analytics is to support evidence-based decision-making for sustainable urban development, improve the quality of life for residents, optimize resource allocation, and enhance the efficiency of city services. By integrating data-driven insights into urban planning, urban analytics helps cities anticipate challenges, identify patterns, and design solutions that are responsive to the needs of a dynamic and growing urban population. In the context of sustainable development, urban analytics plays a critical role in achieving the United Nations’ Sustainable Development Goals (SDGs), particularly those related to sustainable cities and communities, climate action, and inclusive economic growth. One of the fundamental aspects of urban analytics is its reliance on diverse and complex data sources. Cities generate enormous volumes of data daily, ranging from traffic flow measurements, energy consumption statistics, pollution levels, demographic patterns, economic activity, public health records, and citizen feedback. By integrating these heterogeneous datasets, urban analytics creates a comprehensive picture of urban dynamics, enabling planners and policymakers to understand trends, correlations, and potential areas _____ ________ _____ _________ __________ __________.
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Degree : MASTER DEGREE PROGRAMMES
Course Name : Master of Arts (Urban Studies)
Course Code : MAUS
Subject Name : Sustainable Development and Smart Cities
Subject Code : MEDS -048
Year : 2024 2025