Table of Contents

Contents:

Preface xii
1 Reflections on entropy, complexity and spatial dynamics:
the rebirth of theory? 1
Aura Reggiani, Laurie A. Schintler, Daniel Czamanski and Roberto Patuelli

PART A ENTROPY, SPACE AND COMPLEXITY
2 Entropy in urban and regional modelling 20
Alan Wilson
3 Recent applications of entropy in social and environmental sciences 32
Kingsley E. Haynes, Fred Phillips and Miko Ching-Ying Yu
4 Entropy and complexity in urban and regional systems 46
J. Barkley Rosser, Jr.
5 Information theory of spatial network ensembles 61
Ginestra Bianconi
6 Entropy as a measure of agglomeration 97
Katarzyna Kopczewska
7 Entropy, agglomeration and economic structures in spatial analysis 118
Eleonora Cutrini
8 Spatial entropy, information and complexity 139
Michael Batty

PART B COMPLEXITY OF URBAN EVOLUTION
9 Self-organization in complex urban systems 159
Brian J. L. Berry
10 Two centre-size distributions compared 165
John B. Parr
11 Spatial dynamics of complex urban systems within an evolutionary
theory frame 175
Juste Raimbault and Denise Pumain
12 Integrating entropy in the topodynamic approach and the urban
metric system 195
Luc-Normand Tellier
13 Gibrat’s law and the change in artificial land use within and
between European cities 213
Paul Kilgarriff, Rémi Lemoy and Geoffrey Caruso
14 Endogenous growth policies for lagging cities and regions 234
Dani Broitman and Daniel Czamanski
15 Thom’s catastrophe theory and Turing’s morphogenesis for urban
growth modelling 246
Olivier Bonin

PART C COMPLEXITY AND RESILIENCE OF ECONOMIC SYSTEMS
16 Complex structures and relative invariance in economic dynamics 271
Roberto Scazzieri
17 Getting to a circular growth economy by harnessing circular
and cumulative causation 287
Kieran P. Donaghy
18 Simple pricing rules in complex air transport systems 304
Marco Alderighi, Christophe Feder, Peter Nijkamp and Elena Irina Ungureanu
19 Complex tourism dynamics and fiscal sustainability 321
Akash Sedai and Francesca Medda
20 Industrial districts as the outcome of self-organisation in time and space 342
Oto Hudec, Vladimír Gazda, Martin Zoričák and Denis Horváth
21 Economic resilience and extensions to complexity, entropy and
spatial dynamics 363
Adam Rose and Noah Dormady
22 An analysis of resilience in complex socioeconomic systems 383
Amitrajeet A. Batabyal and Karima Kourtit
23 Complexity, resilience and emergence in regional economic systems 400
Timothy F. Slaper and C. Scott Dempwolf
24 Resilience in complex networks 418
Alan T. Murray

PART D SPATIAL DYNAMICS OF COMPLEX INTERACTIONS
25 Complex network analysis of socio-ecological systems 433
Andrea De Montis
26 Hierarchy, central place theory and computational modelling 454
John Östh, Aura Reggiani and Laurie A. Schintler
27 Comparing power laws and exponentials in simulations of
gravitational growth 474
Diego Rybski and Yunfei Li
28 Heterogeneity and segregation of mobility patterns 486
Enrico Ubaldi, Bernardo Monechi, Claudio Chiappetta and Vittorio Loreto
29 Conceptual and operational models of complex spatial interaction 510
Tomaz Ponce Dentinho and António Felix Rodrigues
30 Decision-based modelling of complex spatial systems 538
Guenter Haag
31 A general model of dynamic spatial interactions 566
Justin Delloye and Isabelle Thomas

Index 584

About the Author

Edited by Aura Reggiani, Professor of Economic Policy, University of Bologna, Italy, Laurie A. Schintler, Center for Regional Analysis, Schar School of Policy and Government, George Mason University, US, Daniel Czamanski, Faculty of Economics and Business Administration, Ruppin Academic Center, Israel and Roberto Patuelli, Department of Economics, University of Bologna, Italy

Reviews

‘This book poses a critical question: Is entropy the universal principle to understand and model spatial economic systems, to get grip on the complexity of our modern, highly connected economy? We need proper theory to claim so. Building on seminal work from the past the authors take the audacious and rewarding effort to develop the theory and show its value in practice. If closed systems exhibit increasing order over time, an essential theoretical question is whether dynamic, networked, open systems have more order, lower entropy and higher resilience. As the book discusses, despite big data and advanced computational tooling, this is not necessarily the case. The authors help us to see why.’
*Peter H. M. Vervest, Erasmus University Rotterdam, the Netherlands*