This book argues that complexity theory offers new departures for (spatial-) economic modelling. It offers a broad overview of recent advances in non-linear dynamics (catastrophe theory, chaos theory, evolutionary theory and so forth) and illustrates the relevance of this new paradigm on the basis of several illustrations in the area of space-economy. The empirical limitations - inherent in the use of non-linear dynamic systems approaches - are also addressed. Next, the application potential of biocomputing (in particular, neural networks and evolutionary algorithms) is stressed, while various empirical model results are presented. The book concludes with an agenda for further research.

This book is open access under a CC BY-NC 4.0 license. This collected volume represents the final outcome of the COST Action IS1104 “The EU in the new complex geography of economic systems: models, tools and policy evaluation”. Visualizing the EU as a complex and multi-layered network, the book is organized in three parts, each of them dealing with a different level of analysis: At the macro-level, Part I considers the interactions within large economic systems (regions or countries) involving trade, workers migration, and other factor movements. At the meso-level, Part II discusses interactions within specific but wide-ranging markets, with a focus on financial markets and banking systems. Lastly, at the micro-level, Part III explores the decision-making of single firms, especially in the context of location decisions.

A comprehensive core text from the expert in the field introducing students to the main issues of spatial systems modelling and analysis.

This ground-breaking Handbook presents a state-of-the-art exploration of entropy, complexity and spatial dynamics from fundamental theoretical, empirical and methodological perspectives. It considers how foundational theories can contribute to new advances, including novel modeling and empirical insights at different sectoral, spatial and temporal scales.

With the dawn of the twenty-first century comes the awareness that current rapid political-economic-social and technological transformations will affect our of living, by producing new forms of information, communications, common way market, work-style and leisure. In this context, human behaviour will certainly change its 'fixed' parameters. It is likely that the relationships between internal structures and external influences, between individual components and collective behaviour, as well as between multi-scale networks and interrelated dynamics, will show spatio-temporal patterns which will be difficult to predict by means of our usual tools. As a consequence, academic research is increasingly being required to play an active role in addressing new ways of understanding and forecasting the sets of interacting structures, ranging from the technical to the organizational, and from the social to the economic and political levels, while at the same time incorporating concerns about the 'new' economy, environment, society, information and technology. It is now evident that social science - especially spatial and economic scienc- needs innovative 'paths', together with continuous cross-fertilization among the many disciplines involved. In order to investigate these intriguing perspectives, we seem to have embarked on an era of methodological reflections - rather than developing strong theoretical foundations. This volume aims to provide an overview of these new insights and frontiers for theoretical/methodological studies and research applications in the space-economy.

Accessibility is a concept central to integrated transport and land use planning. The goal of improving accessibility Ð for all modes, for all people Ð has made its way into mainstream transport policy and planning in communities worldwide. This unique book introduces new accessibility approaches to transport planning across Europe and the United States. The expert contributors present advanced interdisciplinary approaches in accessibility research and modelling with best practices in accessibility planning and evaluation, to better support integrated transport and land-use policy-making. This book will prove an absorbing read for scholars, researchers and students working on accessibility issues across different academic fields including transport geography, spatial economics and social science. Transport and urban planners will also find the book to be an invaluable reference tool.

'the editors have done an excellent job in bringing together a comprehensive collection of cutting edge research findings on network theory. . .' - Sierdjan Koster, European Spatial Research and Policy

This volume is dedicated to the memory of Barclay G. Jones, Professor of City and Regional Planning and Regional Science at Cornell University. Over a decade ago, Barclay took on a fledgling area of study - economic modeling of disasters - and nurtured its early development. He served as the social science program director at the National Center for Earthquake Engineering Research (NCEER), a university consortium sponsored by the National Science Foundation and the Federal Emergency Management Agency of the United States. In this capacity, Barclay shepherded and attracted a number of regional scientists to the study of disasters. He organized a conference, held in the ill-fated World Trade Center in September 1995, on "The Economic Consequences of Earthquakes: Preparing for the Unexpected. " He persistently advocated the importance of social science research in an establishment dominated by less-than-sympathetic natural scientists and engineers. In 1993, Barclay organized the first of a series of sessions on "Measuring Regional Economic Effects of Unscheduled Events" at the North American Meetings of the Regional Science Association International (RSAI). This unusual nomenclature brought attention to the challenge that disasters -largely unanticipated, often sudden, and always disorderly - pose to the regional science modeling tradition. The sessions provided an annual forum for a growing coalition of researchers, where previously the literature had been fragmentary, scattered, and episodic. Since Barclay's unexpected passing in 1997, we have continued this effort in his tradition.

'Entrepreneurship had been high on the jobs growth and economic development agendas for many years and this edited book makes an important and timely contribution to the debate. . . the book is nicely poised to bring together space, innovation and economic growth linked together with entrepreneurship. . . This book provides an excellent and worthwhile insight into many of the issues with many contributions that significantly add to our understanding of entrepreneurship and regional development.' - Ronald W. McQuaid, Growth & Change

Complex systems analysis has become a fascinating topic in modern research on non-linear dynamics, not only in the physical sciences but also in the life sciences and the social sciences. After the era of bifurcation theory, chaos theory, syn- getics, resilience analysis, network dynamics and evolutionary thinking, currently we observe an increasing interest in critical transitions of dynamic real-world systems in many disciplines, such as demography, biology, psychology, economics, earth sciences, geology, seismology, medical sciences, and so on. The relevance of this approach is clearly re?ected in such phenomena as traf?c congestion, ?nancial crisis, ethnic con?icts, eco-system breakdown, health failures, etc. This has prompted a world-wide interest in complex systems. Geographical space is one of the playgrounds for complex dynamics, as is witnessed by population movements, transport ?ows, retail developments, urban expansion, lowland ?ooding and so forth. All such dynamic phenomena have one feature in common: the low predictability of uncertain interrelated events occurring at different interconnected spatio-temporal scale levels and often originating from different disciplinary backgrounds. The study of the associated non-linear (fast and slow) dynamic transition paths calls for a joint research effort of scientists from different disciplines in order to understand the nature, the roots and the con- quences of unexpected or unpredictable changes in complex spatial systems.