The economic and political situation of cities has shifted in recent years in light of rapid growth amidst infrastructure decline, the suburbanization of poverty and inner city revitalization. At the same time, the way that data are used to understand urban systems has changed dramatically. Urban Analytics offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics. Written in an accessible style and packed with illustrations and interviews from key urban analysts, this is a groundbreaking new textbook for students of urban planning, urban design, geography, and the information sciences.

The Future of Urban Analytics

The Future of Urban Analytics

Learning Objectives

By the end of this chapter students will understand the following:

  • Some key themes running through the book.
  • Where urban analytics is likely to develop in the future.

Cities and Analytics

The urban data economy has changed dramatically in recent years. If the economy has to do with the production and consumption of goods and services, the data economy concerns the production and consumption of data. These changes to the data economy have not happened in isolation, they have co-occurred within the context of broader political and economic challenges that include how to manage rapid growth within a context of infrastructure decline, the suburbanization of poverty and inner city revitalization (and displacement), ensuring city resilience, security, and sustainability, ...

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