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.

Cities as Networks and Flows

Cities as Networks and Flows

Learning Objectives

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

  • How network representations provide a framework to explore the form and function of cities.
  • How objects, connections, and their attributes can be represented as nodes and edges within graphs.
  • Networks can represent both physical and relational aspects of human activities within urban systems.
  • A range of analysis techniques that enable insight to be extracted from network structures.

Networks as a Space for Interaction

At an elementary level, cities are composed of streets, buildings, infrastructure, and open space (Figure 8.1). The degree to which such partitioning is planned or organically occurring is embedded within the historical and contemporary governance of urban space. Space within a city is connected by physical ...

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