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Luis M. A. Bettencourt - Introduction to Urban Science: Evidence and Theory of Cities as Complex Systems

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A novel, integrative approach to cities as complex adaptive systems, applicable to issues ranging from innovation to economic prosperity to settlement patterns.Human beings around the world increasingly live in urban environments. In Introduction to Urban Science, Luis Bettencourt takes a novel, integrative approach to understanding cities as complex adaptive systems, claiming that they require us to frame the field of urban science in a way that goes beyond existing theory in such traditional disciplines as sociology, geography, and economics. He explores the processes facilitated by and, in many cases, unleashed for the first time by urban life through the lenses of social heterogeneity, complex networks, scaling, circular causality, and information.Though the idea that cities are complex adaptive systems has become mainstream, until now those who study cities have lacked a comprehensive theoretical framework for understanding cities and urbanization, for generating useful and falsifiable predictions, and for constructing a solid body of empirical evidence so that the discipline of urban science can continue to develop. Bettencourt applies his framework to such issues as innovation and development across scales, human reasoning and strategic decision-making, patterns of settlement and mobility and their influence on socioeconomic life and resource use, inequality and inequity, biodiversity, and the challenges of sustainable development in both high- and low-income nations. It is crucial, says Bettencourt, to realize that cities are not zero-sum games and that knowledge, human cooperation, and collective action can build a better future.

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INTRODUCTION TO URBAN SCIENCE EVIDENCE AND THEORY OF CITIES AS COMPLEX - photo 1

INTRODUCTION TOURBAN SCIENCE

EVIDENCE AND THEORY OF CITIES AS COMPLEX SYSTEMS

S M. A. BETTENCOURT

THE MIT PRESSCAMBRIDGE, MASSACHUSETTSLONDON, ENGLAND

2021 Massachusetts Institute of Technology

All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.

The MIT Press would like to thank the anonymous peer reviewers who provided comments on drafts of this book. The generous work of academic experts is essential for establishing the authority and quality of our publications. We acknowledge with gratitude the contributions of these otherwise uncredited readers.

Library of Congress Cataloging-in-Publication Data is available.

Names: Bettencourt, Lus M. A., author.

Title: Introduction to urban science : evidence and theory of cities as complex systems / Lus M. A. Bettencourt.

Description: Cambridge, Massachusetts : The MIT Press, [2021] | Includes bibliographical references and index.

Identifiers: LCCN 2020045141 | ISBN 9780262046008 (hardcover)

Subjects: LCSH: Urbanization. | Cities and townsGrowth. | Urban policy. | System theory.

Classification: LCC HT361 .B485 2021 | DDC 307.76dc23

LC record available at https://lccn.loc.gov/2020045141

d_r0

To my family
To Aline, whose hope for the world and boundless energy set me on this path;
To Laura, whose love and challenge make everything possible;
To Stella and Phillip, who will be citizens of a big urban world, let it be all that it is meant to be.

CONTENTS
LIST OF FIGURES

The world has become urban.

Radical urban transformations.

Correlation between extent of national urbanization and per capita GDP.

Human development: Comparing large cities to their nations.

Complexity, interdependence, and the human ecology of urban environments.

Five general properties of cities as complex systems.

Urban science deals with diverse interconnected phenomena across different scales and traditional disciplines.

Modern countryside around the town where von Thnen was born.

Land rents as a function of market prices and transportation costs for different agricultural produce sold at the central market.

Schematic two-region core-periphery model.

Workers agglomeration and dispersal in the core-periphery model.

Tomahawk diagrams characterizing the solutions of the core-periphery model with two regions.

Burgesss conceptual map of the city of Chicago.

Possible utility variation with city size as a result of external agglomeration economies and diseconomies.

Hendersons scheme for variable agglomeration externalities for different dominant industries.

Alonsos model for land rents in the city.

A simple economic model for crime in cities.

Principles of time geography.

Concept of constant travel-time budget.

Marchettis constant.

Definition of functional metropolitan areas.

Urban scaling in the US.

Urban scaling in Europe.

Urban scaling in China.

Example of a network.

Urban scaling theory development in four parts.

Spatial scheme of the small town of Capilco.

Why do settlements have the characteristic size that they have?

The geometry of human mobility in cities.

Scheme of an individuals trajectory.

Interplay between social and infrastructural networks in cities.

The city is not a tree.

Scheme of infrastructure networks in the city and corresponding flows.

Scale independence of the coupling G and its range for city stability.

Human interactions scale superlinearly with city size.

Statistical distributions of degree for different measures of connectivity and city definitions.

The clustering coefficient is invariant, while contagion accelerates with city size.

COVID-19 reported cases grow superlinearly with city size.

Urban land expansion of Chinese prefectural cities.

Built-up area of 20 US urban areas in 1992.

Relationship between population, built area, and the fractal dimension for 20 metropolitan areas in the US in 1992.

Building heights, height distributions, and land rents in US MSAs.

Relation between average building height and building shape.

Impact of building height on energy use and mobility.

Scaling of walking speed in cities versus population size and of the heart rate of organisms versus their mass.

Topology of places and city block complexity.

Neighborhood topology and the access networks of informal settlements.

Expanding street networks in underserviced city blocks.

Section of Nairobi, Kenya, showing how deficits in local infrastructure can be diagnosed in every city block and minimal extensions of the street network proposed that create universal access.

Urban scaling and the dynamics of growth and deviations.

Rank-ordered distribution of scaling residuals.

Temporal evolution of scale deviations displays long-term memory.

Relationships between local urban performance and their spatial distribution.

Families of kindred cities.

Scaling of excess traffic congestion costs in a subsample of 100 US cities.

Convergence, spatial equilibrium, and individual city trajectory typology.

City typologies are not universal.

Scaling relations for various urban indicators in Brazilian cities.

Distribution of SAMIs and their standard deviation.

SAMIs for several urban indicators versus those for homicides in Brazilian cities.

Residuals and per capita metrics for crime in Indian urban agglomerations.

Residuals and per capita metrics for technological innovation in Indian urban agglomerations.

Distribution of SAMIs for Chinese prefectural cities.

Rankings and spatial distribution of SAMIs for Chinese prefectural cities.

Using SAMI behavior to estimate working populations in Chinese cities.

Statistical theory of growth and scaling in cities.

General properties of stochastic growth and their consequences for cities.

Dynamically balancing income and costs via feedback control leads to simple statistics for resource growth rates.

Measured growth parameters for US MSAs in the period 19692015.

Measured growth rates for US MSAs and the dynamics of deviations.

Effective diffusive growth of deviations and the emerging statistics of cities.

Causal diagram describing Fischers subcultural theory of urbanism.

Example of North American Industry Classification System (NAICS) for a subsection of sector 71: Arts, Entertainment, and Recreation.

Total number of establishments and business richness.

Rank abundance of establishment types.

Rank size distribution of business types in New York City.

Multidimensional scaling of industry types.

The most common occupations in the US and their annual wages according to the Standard Occupational Classification scheme.

Tree of life in Darwins On the Origin of Species.

Scaling occupational richness of US Metropolitan Statistical Areas versus total employment.

The distribution of occupations in US metropolitan areas is universal.

Scaling of economic productivity with city size and the generation of professional diversity.

Structural transformation in occupational networks resulting from interconnection and specialization.

Schematic nature of the transition between subsistence (disconnected phase) and urbanism (connected phase).

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