Chapter 23: Problem 11

How can big data be used to make cities more efficient?

Short Answer

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Big data can be used to make cities more efficient in several ways, such as optimizing road usage and reducing energy waste. This is achieved by collecting large amounts of data from various sources within the city, analyzing it for patterns and trends, and then applying this knowledge to improve and streamline city operations.

Step by step solution

Understanding Big Data

Big data refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations. In this context, big data can come from a variety of sources within a city, such as traffic sensors, utility meters, social media posts, public services usage, etc.

Collecting and Analyzing Big Data

Technologies like the Internet of Things (IoT) devices, smart meters, surveillance cameras, and so on, play a big role in collecting this data. Once the data is collected, sophisticated software and statistical techniques are used to analyze these large volumes of data, often in real-time.

Applying Big Data to Improve City Efficiency

There are numerous ways big data can make cities more efficient. For instance, big data can be used in traffic management to analyze traffic patterns and optimize light sequences, leading to less congestion and more efficient use of roads. Big data from utility usage could lead to more efficient energy usage and a decrease in waste. The applications of big data in cities also extend to areas like public safety, resource management, environmental sustainability, and public health. The right application of big data can lead to significant improvements in city efficiency and quality of life for residents.

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How can big data be used to make cities more efficient?

Short Answer

Step by step solution

Understanding Big Data

Collecting and Analyzing Big Data

Applying Big Data to Improve City Efficiency

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