The task of modelling the evolution of cities – the dynamics – is one of the major challenges of the social sciences. This book presents mathematical and computer models of urban and regional dynamics and shows how advances in computer visualisation provide new insights. Models of non-linear systems in general have three characteristics: multiple equilibria, ‘path dependence’ over time and phase transitions – that is, abrupt change at critical parameter values. These phenomena all exhibit themselves in reality, and it is an ongoing task to match model-based analysis with real phenomena. There are three key features of cities and regions to be represented in models: activities at a location – residence, health, education, work and shopping; flows between locations – spatial interaction; and the structures that carry these activities – buildings, transport and communications networks. Spatial interaction and many elements of activities’ location can be modelled by statistical averaging procedures, which are related to Boltzmann’s methods in statistical mechanics. This is while the evolution of structure can be represented in equations that connect to the Lotka-Volterra equations in ecology. Within this broad framework, alternative approaches can be brought to bear. This book uses entropy-maximising versions of spatial interaction models. The authors explore the dynamics in more detail, using advanced visualisation techniques. These ideas have wide potential uses, and the book illustrates this with applications in history and archaeology.

Poland's continuing housing shortage reduces labor mobility, which reduces potential growth. Improving housing is essential to improving economic growth in Poland.

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.

Chicago went from nothing in 1830 to become the second-largest city in the nation in 1900, while the Midwest developed to become one of the world’s foremost urban areas. This book is an economic history of the Chicago metropolitan area from the 1820s to the present. It examines the city in its Midwestern region and compares it to the other major cities of the North. This book uses theories of the economics of location and other economic models to explain much of Chicago’s history. Chicago maintained its status as the second-largest city through the first decades of the 20th century, but rapid growth shifted to the Sunbelt following World War II. Since the 1950s the city’s history can be divided into four distinct periods; growth with suburbanization (1950-1970), absence of growth, continued suburbanization, and central city crisis (1970-1990), rebound in the 1990s, and financial crisis and deep recession after 2000. Through it all Chicago has maintained its position as the economic capital of the Midwest. The book is a synthesis of available literature and public data, and stands as an example of using economics to understand much of the history of Chicago. This book is intended for the college classroom, urban scholars, and for those interested in the history of one of world’s foremost urban areas.

Using international examples, leading scholars present the first critical analysis of cluster theory, assessing the cluster notion and drawing out, not only its undoubted strengths and attractions, but also its weaknesses and limitations. Over the past decade the ‘cluster model’ has been seized on as a tool for promoting competitiveness, innovation and growth on local, regional and national scales. However, despite its popularity there is much about it that is problematic, and in some respects the rush to employ ‘cluster ideas’ has run ahead of many fundamental conceptual, theoretical and empirical questions. Addressing key questions on the nature, use and effectiveness of cluster models, Clusters and Regional Development provides the missing thorough theoretical and empirical evaluation.

In Being Interdisciplinary, Alan Wilson draws on five decades as a leading figure in urban science to set out a systems approach to interdisciplinarity for those conducting research in this and other fields. He argues that most research is interdisciplinary at base, and that a systems perspective is particularly appropriate for collaboration because it fosters an outlook that sees beyond disciplines. There is a more subtle thread, too. A systems approach enables researchers to identify the game-changers of the past as a basis for thinking outside convention, for learning how to do something new and how to be ambitious, in a nutshell how to be creative. Ultimately, the ideas presented address how to do research. Building on this systems focus, the book first establishes the basics of interdisciplinarity. Then, by drawing on the author’s experience of doing interdisciplinary research, and working from his personal toolkit, it offers general principles and a framework from which researchers can build their own interdisciplinary toolkit, with elements ranging from explorations of game-changers in research to superconcepts. In the last section, the book tackles questions of managing and organising research from individual to institutional scales. Alan Wilson deploys his wide experience – researcher in urban science, university professor and vice-chancellor, civil servant and institute director – to build the narrative. While his experience in urban science provides the illustrations, the principles apply across many research fields.

Research interest in the service sector has boomed in recent years as deindustrialisation became entrenched. Instead of being regarded as merely supplementary to traditional industry and manufacturing, services have generated progressively rising levels of growth in developed economies while at the same time coming to be recognised as major drivers of innovation. Among the factors which have helped service companies notch up swifter growth rates than all other sectors are the outsourcing of such services by other sectors, including the development of information and communication technologies, and changes to the regulatory, legal and market frameworks as well as globalisation and internationalisation. The result is a cluster of highly innovative firms which can loosely be grouped under the heading of Knowledge Intensive Business Services (KIBS). Knowledge Intensive Business Services and Regional Competitiveness charts the development of these firms and explores their success through four mutually linked parts: KIBS and industrial dynamics; KIBS and their context; KIBS and their contribution to regional competitiveness and economic development; and finally, KIBS and public policy. This book is suitable for researchers and policy makers interested in the rise of these influential actors and their influence on regional competitiveness.

Geo-mathematical modelling: models from complexity science Sir Alan Wilson, Centre for Advanced Spatial Analysis, University College London Mathematical and computer models for a complexity science tool kit Geographical systems are characterised by locations, activities at locations, interactions between them and the infrastructures that carry these activities and flows. They can be described at a great variety of scales, from individuals and organisations to countries. Our understanding, often partial, of these entities, and in many cases this understanding is represented in theories and associated mathematical models. In this book, the main examples are models that represent elements of the global system covering such topics as trade, migration, security and development aid together with examples at finer scales. This provides an effective toolkit that can not only be applied to global systems, but more widely in the modelling of complex systems. All complex systems involve nonlinearities involving path dependence and the possibility of phase changes and this makes the mathematical aspects particularly interesting. It is through these mechanisms that new structures can be seen to ‘emerge’, and hence the current notion of ‘emergent behaviour’. The range of models demonstrated include account-based models and biproportional fitting, structural dynamics, space-time statistical analysis, real-time response models, Lotka-Volterra models representing ‘war’, agent-based models, epidemiology and reaction-diffusion approaches, game theory, network models and finally, integrated models. Geo-mathematical modelling: Presents mathematical models with spatial dimensions. Provides representations of path dependence and phase changes. Illustrates complexity science using models of trade, migration, security and development aid. Demonstrates how generic models from the complexity science tool kit can each be applied in a variety of situations This book is for practitioners and researchers in applied mathematics, geography, economics, and interdisciplinary fields such as regional science and complexity science. It can also be used as the basis of a modelling course for postgraduate students.

A world model: economies, trade, migration, security and development aid. This bookprovides the analytical capability to understand and explore the dynamics of globalisation. It is anchored in economic input-output models of over 200 countries and their relationships through trade, migration, security and development aid. The tools of complexity science are brought to bear and mathematical and computer models are developed both for the elements and for an integrated whole. Models are developed at a variety of scales ranging from the global and international trade through a European model of inter-sub-regional migration to piracy in the Gulf and the London riots of 2011. The models embrace the changing technology of international shipping, the impacts of migration on economic development along with changing patterns of military expenditure and development aid. A unique contribution is the level of spatial disaggregation which presents each of 200+ countries and their mutual interdependencies – along with some finer scale analyses of cities and regions. This is the first global model which offers this depth of detail with fully work-out models, these provide tools for policy making at national, European and global scales. Global dynamics: Presents in depth models of global dynamics. Provides a world economic model of 200+ countries and their interactions through trade, migration, security and development aid. Provides pointers to the deployment of analytical capability through modelling in policy development. Features a variety of models that constitute a formidable toolkit for analysis and policy development. Offers a demonstration of the practicalities of complexity science concepts. This book is for practitioners and policy analysts as well as those interested in mathematical model building and complexity science as well as advanced undergraduate and postgraduate level students.

In the last few decades, urban quality of life has received increasing interest from policy makers who aim to make cities better places to live. In addition to the aim of improving quality of life, sustainable and equitable development is also often included in the policy agendas of decision makers. This book aims to link quality of life to related issues such as sustainability, equity, and subjective well-being. While less than one-third of the world's population lived in cities in 1950, about two thirds of humanity is expected to live in urban areas by 2030. This dramatic increase in the number of people living in urban areas serves as the backdrop for this book’s analysis of cities. This book will be useful to students and researchers in economics, architecture and urban planning, sociology and political sciences, as well as policy makers.