From a five-year-old girl racing 60mph micro-midgets in South Africa, to a Formula One driver in the British Championship during her first full year of racing in the UK, and on to becoming the first and only woman ever to win a Formula One race, Desire Wilson was a winner bested by very few of her male rivals. But single-seater racing was just the start of Desire's ascent in motorsport. She won two FIA World Championship Sports Car Endurance races in 1980, and went on to compete in well over 120 types of race car at more than 100 race tracks around the world. Always competitive, she earned a reputation for an intense, no-nonsense approach to racing, shrugging off the media glamour to focus on the hard grind of staying competitive in one of the world's toughest sporting arenas. Moving to the male-dominated world of North American racing, Desire became a pioneer for women racing in the harsh world of Indy Cars, facing discrimination, financial problems, and other obstacles ranging from tragedy to farce. Her career is unique in the world of racing, encompassing everything from club racing to Formula One and World Championship sports cars, to the evil monsters of the IndyCar World Series - the world's fastest race cars. Hers is a story of hardships, fun, tragedy, perseverance, injury, and the amazing behind-the-scenes world masked by the public face and glamour of racing. It tells, too, of the consequences of politics and discrimination in the male world of professional auto racing.

First published in 1970, this groundbreaking investigation into Entropy in Urban and Regional Modelling provides an extensive and detailed insight into the entropy maximising method in the development of a whole class of urban and regional models. The book has its origins in work being carried out by the author in 1966, when he realised that the well-known gravity model could be derived on the basis of an analogy with statistical, rather than Newtonian, mechanics. Subsequent investigation demonstrated that the entropy maximising method stems from an even higher level of generality, and the beginning of the book is devoted to an account of its importance and use as a general modelling tool. This reissue will be welcomed by a range of students and professionals from fields as diverse as urban and regional studies, economics, geography, planning, civil engineering, mathematics and statistics.

The focus of this book is the modeling of the location of economic activities, measured in terms of employment, in land-use and transportation systems. These measures are key inputs to models at intra-urban scales of the flows of persons and goods for both urban and transport planning. The models described here are either components of comprehensive models or specialist studies. Economic activities can be defined in terms of jobs or private-sector firms and public service organisations. Different levels of aggregation are used both in terms of organisational and geographical dimensions. In the case of firms and public organizations, a distinction can be made between the organizations themselves and corresponding establishments. For urban simulation models, it is the location of establishments that is important. At the more coarse levels of aggregation that are usually used in comprehensive models, firms and organizations are aggregated into sectors.

This book applies regional analysis to the challenges facing global investment agencies seeking to enhance trade in lagging regions. It shows how spatial interaction and agent-based modelling can be used as the basis for developing new plans and policies. An in-depth analysis of trade routes is presented, which can be used to develop policies for increasing efficiency and reducing costs. Landlocked Uganda and the sea-locked South Pacific Islands serve to illustrate the problems of covering sizable distances, accelerating export flows and improving supply chain efficiency. These examples also provide an excellent illustration of the power of regional science, from assembling data bases in difficult situations to developing and applying models of the trade system.

Successful businesses recognize that the development of strong customer relationships through quality service (and services) as well as implementing service strategies for competitive advantage are key to their success. In its fourth European edition, Services Marketing: Integrating Customer Focus across the Firm provides full coverage of the foundations of services marketing, placing the distinctive Gaps model at the center of this approach. The new edition draws on the most recent research, and using up-to-date and topical examples, the book focuses on the development of customer relationships through service, outlining the core concepts and theories in services marketing today. New and updated material in this new edition includes: * New content related to human resource strategies, including coverage of the role of robots and chatbots for delivering customer-focused services. * New coverage on listening to customers through research, big data, netnography and monitoring user-generated content. * Increased technology, social media and digital coverage throughout the text, including the delivery of services using mobile and digital platforms, as well as through the Internet of Things. * Brand new examples and case studies added from global and innovative companies including Turkish Airlines, Volvo, EasyJet and McDonalds. Available with McGraw-Hill's Connect (R), the well-established online learning platform, which features our award-winning adaptive reading experience as well as resources to help faculty and institutions improve student outcomes and course delivery efficiency.

First published in 1970, this groundbreaking investigation into Entropy in Urban and Regional Modelling provides an extensive and detailed insight into the entropy maximising method in the development of a whole class of urban and regional models. The book has its origins in work being carried out by the author in 1966, when he realised that the well-known gravity model could be derived on the basis of an analogy with statistical, rather than Newtonian, mechanics. Subsequent investigation demonstrated that the entropy maximising method stems from an even higher level of generality, and the beginning of the book is devoted to an account of its importance and use as a general modelling tool. This reissue will be welcomed by a range of students and professionals from fields as diverse as urban and regional studies, economics, geography, planning, civil engineering, mathematics and statistics.

This edited collection, first published in 1987, provides a comparative analysis of different approaches to urban modelling, and lays the foundations for the possibility of integration and a more unified field. The first part contextualises the development of the field of urban systems modelling, focusing on the variety of approaches and possible implications of this on the future of research and methodology. Next, the editors consider economic and 'non-economic' approaches, followed by an analysis of spatial-interaction-based approaches. Providing an overview to the field and research literature, the overarching argument is that there should be an integrated methodological approach to urban system modelling.

This edited collection, first published in 1987, provides a comparative analysis of different approaches to urban modelling, and lays the foundations for the possibility of integration and a more unified field. The first part contextualises the development of the field of urban systems modelling, focusing on the variety of approaches and possible implications of this on the future of research and methodology. Next, the editors consider economic and 'non-economic' approaches, followed by an analysis of spatial-interaction-based approaches. Providing an overview to the field and research literature, the overarching argument is that there should be an integrated methodological approach to urban system modelling.

Mathematical models have long been used by geographers and regional scientists to explore the working of urban and regional systems, via a system where the equilibrium point changes slowly and smoothly as the parameters change slowly and smoothly. However, this all changed with the advent of catastrophe theory and bifurcation, which enabled the development of models where a quite sudden change in the position of the equilibrium point results from a slow, small, smooth change in one or more parameters. First published in 1981, this reissue of Professor Wilson's classic study outlines the implications of these mathematical models for geography and regional science, by way of a survey of contemporary applications.

Mathematical models have long been used by geographers and regional scientists to explore the working of urban and regional systems, via a system where the equilibrium point changes slowly and smoothly as the parameters change slowly and smoothly. However, this all changed with the advent of catastrophe theory and bifurcation, which enabled the development of models where a quite sudden change in the position of the equilibrium point results from a slow, small, smooth change in one or more parameters.

First published in 1981, this reissue of Professor Wilson 's classic study outlines the implications of these mathematical models for geography and regional science, by way of a survey of contemporary applications.

Success in the twenty-first century demands knowledge power - for individuals, organisations, cities, regions and countries. This book offers a map showing the structure of the knowledge space in a contemporary context. The routes beyond traditional disciplines are charted, in part based on the notions of superconcepts and superproblems. There are major implications for the development of education systems, particularly for universities but also for all employers as they seek to ensure that their organisations have the requisite knowledge to meet future challenges. In many instances, radical change is called for.

The traditional disciplines and their future development are reviewed and systems concepts are introduced to develop an interdisciplinary framework for the future. The nature of the knowledge core for different kinds of organisation is outlined in the context of development strategies and management capabilities.

Super concepts are introduced throughout and through these the reader is introduced to a range of authors who, it is argued, provide the signposts for the way ahead.

This book applies regional analysis to the challenges facing global investment agencies seeking to enhance trade in lagging regions. It shows how spatial interaction and agent-based modelling can be used as the basis for developing new plans and policies. An in-depth analysis of trade routes is presented, which can be used to develop policies for increasing efficiency and reducing costs. Landlocked Uganda and the sea-locked South Pacific Islands serve to illustrate the problems of covering sizable distances, accelerating export flows and improving supply chain efficiency. These examples also provide an excellent illustration of the power of regional science, from assembling data bases in difficult situations to developing and applying models of the trade system.

This new handbook, with contributions from experts around the world, is the most comprehensive treatise on work design and job analysis practice and research in over 20 years. The handbook, dedicated to Sidney Gael, is the next generation of Gael's successful Job Analysis Handbook for Business, Industry and Government, published by Wiley in 1988. It consists of four parts: Methods, Systems, Applications and Research/Innovations. Finally, a tightly integrated, user-friendly handbook, of interest to students, practitioners and researchers in the field of Industrial Organizational Psychology and Human Resource Management. Sample Chapter available: Chapter 24, Training Needs Assessment by Eric A. Surface is available for download.

The focus of this book is the modeling of the location of economic activities, measured in terms of employment, in land-use and transportation systems. These measures are key inputs to models at intra-urban scales of the flows of persons and goods for both urban and transport planning. The models described here are either components of comprehensive models or specialist studies. Economic activities can be defined in terms of jobs or private-sector firms and public service organisations. Different levels of aggregation are used both in terms of organisational and geographical dimensions. In the case of firms and public organizations, a distinction can be made between the organizations themselves and corresponding establishments. For urban simulation models, it is the location of establishments that is important. At the more coarse levels of aggregation that are usually used in comprehensive models, firms and organizations are aggregated into sectors.

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.

A 'science of cities and regions' is critical for meeting future challenges. The world is urbanising: huge cities are being created and are continuing to grow rapidly. There are many planning and development issues arising in different manifestations in countries across the globe. These developments can, in principle, be simulated through mathematical computer models which provide tools for forecasting and testing future scenarios and plans. These models can represent the functioning of cities and regions, predicting the spatial demography and the economy, the main flows such as journey to work or to services, and the mechanisms of future evolution. In this book, the main principles involved in the design of this range of models are articulated, providing an account of the current state of the art as well as future research challenges.

Alan Wilson has over forty years working with urban and regional models and has contributed important discoveries. He has distilled this experience into what serves as both an introduction and a review of the research frontier. Topics covered include the Lowry model, the retail model, principles of account-based models and the methods rooted in Boltzmann-style statistical modelling and the Lotka-Volterra approach to system evolution. Applications range from urban and regional planning to wars and epidemics.

This new handbook, with contributions from experts around the world, is the most comprehensive treatise on work design and job analysis practice and research in over 20 years. The handbook, dedicated to Sidney Gael, is the next generation of Gael's successful Job Analysis Handbook for Business, Industry and Government, published by Wiley in 1988. It consists of four parts: Methods, Systems, Applications and Research/Innovations. Finally, a tightly integrated, user-friendly handbook, of interest to students, practitioners and researchers in the field of Industrial Organizational Psychology and Human Resource Management. Sample Chapter available: Chapter 24, Training Needs Assessment by Eric A. Surface is available for download.

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.

Success in the twenty-first century demands knowledge power for individuals, organisations, cities, regions and countries. This book offers a map showing the structure of the knowledge space in a contemporary context. The routes beyond traditional disciplines are charted, in part based on the notions of superconcepts and superproblems. There are major implications for the development of education systems, particularly for universities but also for all employers as they seek to ensure that their organisations have the requisite knowledge to meet future challenges. In many instances, radical change is called for.

The traditional disciplines and their future development are reviewed and systems concepts are introduced to develop an interdisciplinary framework for the future. The nature of the knowledge core for different kinds of organisation is outlined in the context of development strategies and management capabilities.

Super concepts are introduced throughout and through these the reader is introduced to a range of authors who, it is argued, provide the signposts for the way ahead.

The study of cities is one of the grand challenges of twenty-first-century science, and mathematical modelling in this case, urban modelling provides a crucial contribution to scholarly and practical projects fully to comprehend their workings, evolution, and associated planning problems. There have been significant developments in urban modelling over the last fifty years or so (though foundational work dates back to the nineteenth century and beyond), and it remains a highly active and flourishing field of research and study.

Urban modelling draws on population demography and economics. It seeks to represent the activities and structures associated with employment, residential location, and housing, the use of services such as retail, education, or health and associated transport and telecommunications interactions. The history of urban modelling can be seen as the development of submodels which, in more ambitious projects, are then combined into comprehensive models. These models can then be deployed as What if? forecasting tools to test plans for future urban development. The retail model, for example, is extensively applied commercially.

In five volumes, this new Routledge collection edited by the scholar whose work in urban and regional modelling established the research agenda for the field from the 1970s onwards answers the need for an authoritative reference work to map the vast body of published literature and to make sense of the continuing explosion in research output. Much of scholarly literature generated by this multidisciplinary enterprise remains inaccessible or is highly specialized and compartmentalized, so that it is hard for many of those who are interested to obtain an informed and comprehensive overview. Bringing together the very best canonical and cutting-edge contributions, this collection offers an invaluable, one-stop resource.

Volume I captures the early history of modelling up to the early 1960s. Volume II demonstrates the development of the comprehensive model, building on Lowry s 1964 work and the foundations of transport modelling, enhanced by the introduction of entropy-maximizing methods in 1967. Volume III covers the 1970s and 1980s, which in part demonstrated the power of mathematical programming and also the introduction of effective dynamic analysis. The final volumes collect the best scholarship from the 1990s to the present day, focusing particularly on applications of modelling and the areas where the dynamic urban model still remains incomplete.

Urban Modelling is fully indexed with a comprehensive introduction, newly written by the learned editor, which places the gathered materials in their historical and intellectual context. The collection is certain to be recognized as an indispensable reference work.