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1 - An Introduction to Urbanization and Global Environmental Change

Published online by Cambridge University Press:  31 July 2026

Galina Churkina
Affiliation:
Technische Universität Berlin (TU Berlin)

Summary

In this chapter, the exploration of urbanization interactions with global environmental change commences. The chapter begins by defining what a city is. It then explains the physical and biogeochemical feedbacks within the Earth's system, highlighting how changes in these interactions contribute to and shape global environmental change. In this context, the Gaia hypothesis is introduced that views Earth as a self-regulating system in which living organisms, the atmosphere, oceans, and land interact to maintain conditions suitable for life. Considering urbanization within this framework emphasizes how urban processes can influence and be influenced by planetary regulatory mechanisms.

Information

Figure 0

Figure 1.1 Most population growth in the years to come is expected in the urban areas.

(Data sources: Our World in Data (2025); United Nations Department of Economic and Social Affairs Population Division (2018); Klein Goldewijk (2023)).
Figure 1

Figure 1.2 The world’s urban population was categorized by the size class of settlements in 2018. Most urban dwellers worldwide live in cities with populations smaller than 1 million people (almost 60%). Only 13% of the world’s urban dwellers live in megacities.Figure 1.2 long description.

(Adapted from: Figure 8.3 by Lwasa et al., 2022; with permission from the IPCC).
Figure 2

Figure 1.3 Differences in the urban extent depending on the definition of the city’s boundaries.Figure 1.3 long description.

Figure 3

Figure 1.4 Percent of direct fuel consumption by buildings occurring in urban and rural areas from heating and cooling classified using different definitions of urban extent (Parshall et al., 2010). The US (census) delineates urban areas using the population density of census blocks. In the Global Rural-Urban Mapping Project (GRUMP), urban areas are classified primarily using the satellite observations of nighttime lights collected by the US Department of Defense.Figure 1.4 long description.

Rural-urban density code (character) classifies counties as urban or rural using population density and agglomeration thresholds for Census urban areas. Commuting area (commuting) is based on commuting flow and classification of destinations. (Adapted from: Parshall et al., 2010, with permission from Elsevier; © 2009 Elsevier Ltd.).

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