Contents:
Part One:Theory. The design of spatial decision support systems in ruban and regional planning. How to define problems: a systemic approach. Planning as argumentation and power-acting: theory and methods. Establishing the design professions' perspective on GIS. Geographical information systems and desicion support for environmental management. Reversing decision support systems to reveal differences in human strategizing behaviour. Part Two: Methodology. Urban convergence: morphology and attraction. Integrating constrained cellular automata models, GIS and decision support tools for urban planning and policy-making. Constructing and consulting fuzzy decision tables. An optimization method for facility location using a genetic algorithm. Towards a hybrid technologies for urban design: balancing reliability, power and speed in decision support. GIS and decision support systems for local authorities in Malaysia. Using the 'ALLOT' model in land use decision-making. Neighbourhood management, performance measuring and decision-making. Design tools in an integrated CAD-GIS environment: space syntax as an example. Three-dimensional CAAD modelling: technical constraints and local planning attributes as parameters for conceptual design support and evaluation. Computer-mediated cooperative spatial planning. Parking simulation using a geographical information system. Index.

Urban planning processes have become increasingly complex and sophisticated. Decision support systems can be useful aids to decision-makers in their assessment of the impact of their decisions. This book, available in paperback for the first time, presents a set of papers providing examples of innovative research in decision support systems in urban planning from throughout the world. Examples apply to different areas of urban planning from site selection, environmental management, transport, etc. The chapters in the book address the many components of decision support systems, including issues in database management, advances in model-building techniques and application of the systems.

This book brings together frontier research in transportation and travel behaviour on the formulation and estimation of models of bounded rationality to analyse and predict various facets underlying daily activity-travel behaviour. Key behavioural principles and mechanisms relate to simplifying decision complexity by ignoring particular attributes, developing context and task-dependent mental representations, deriving decision heuristics, adding emotional aspects to cognitive assessments of choice options, regret-minimization, semi-compensatory decision rules based on mental effort and risk perception, learning and adaptation, satisfying decision rules and prospect theoretic approaches. The book is important reading for transportation researchers and professionals who are interested in the latest developments in transport demand forecasting. It offers historical reviews of the development of models of bounded rationality in this field of research, and a variety of new concepts and modelling approaches that should be inspirational to both new and experienced researchers in this field of research and application.

Studies of pedestrian behaviour have recently gained a lot of attention in a variety of disciplines, including urban planning, transportation, civil engineering, computer science/artificial intelligence and applied physics. Various kinds of models for simulating pedestrian behaviour have been suggested. Moreover, new technologies have been used to collect data about pedestrian movement patterns. The aim of this book is to document these new developments in research and modelling approaches. In this book, leading scholars representing different modelling approaches and fields of application have written chapters about the analysis and modelling of pedestrian movement patterns. Modelling approaches include cellular automata models, fluid dynamics, discrete choice models, rule-based models, multi-agent models and models of bounded rationality. The chapters illustrate that these model can be successfully used to simulate phenomena such as lane formation, crowding, activity-patterns, path decisions, micro-behaviour, impulse buying and store choice behaviour. Finally, the book contains some interesting application of this body of research. These chapters and paragraphs demonstrate the applied potential of models of pedestrian behaviour.

Knowledge of consumer psychology and consumer behaviour in relation to tourism is valuable in determining the success of tourism and hospitality ventures. The book is an edited collection of papers from the 3rd Symposium on Consumer Psychology of Tourism, Hospitality and Leisure, held in Melbourne, Australia in January 2003. Themes covered by the papers include attitudes, emotions and information processing; motivation and learning; consumption systems; decision and choice; experience and satisfaction; market segmentation; attraction and loyalty; and image and interpretation.

In recent years, transportation research has seen a gradual shift from trip-based, via tour-based to activity-based models, in an effort to capture the true complexity of travel behaviour. This volume reflects an eventful decade of development and application of activity-based models. In three extensive sections, it: reviews a range of approaches to incorporating increased complexity in models; discusses how to obtain the rich data necessary to support complex models; and reports on real applications in action. This is an essential reading for any researcher or practitioner wishing to keep abreast of this key area of transportation research.

Societal trends have made the need for better travel demand forecasts more urgent, at the same time as making people's travel and activity patterns far more complex. Traditional traffic flow models are no longer sophisticated enough to cope.

Activity analysis is seen by many as the solution. It has had a short but intense history in geography, urban planning, time use research and, more recently, transportation. Pioneering activity-based models have now been developed to the point where, some argue, it is time to abandon the traditional four-step model for transportation demand forecasting and to adopt activity-based approaches instead. Others claim that the complexity of such approaches, and their tremendous data requirements, prevent them from having a significant impact.

This book explores these claims and the issues associated with them. An introductory section outlines the debate. The body of the work is organised in four sections: modelling developments; theories and empirical analyses; data needs and data representation; and policy analysis. The final section discusses future research directions.

As mobile technologies become ever more pervasive in modern society, users find increasingly innovative methods to take advantage of the newest developments and mobile devices. Data mining, in particular, has seen a vast shift as a result of wireless technologies. Mobile Technologies for Active-Travel Data Collection and Analysis concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry. This critical reference source will provide travel agents, visitors, and hosts with the most advanced data mining methods, empirical research findings, and computational analysis techniques necessary to compete effectively in the global tourism industry.

The application of advanced technologies to point of sale systems is a promising and relatively unexplored field of study, in particular when considering the introduction of digital content and technologies allowing consumers to interact with products in new ways. Many e-retailers already exploit the opportunities offered by interactive technologies, such as 3D virtual models, in order to enhance consumers shopping experience. Their use in stores, however, is still limited. The development and use of new shopping assistants for supporting and influencing consumers during their shopping experience plays a key role for both retailers and researchers. Advanced Technologies Management for Retailing: Frameworks and Cases contributes to our understanding of applications of new technologies and their impact on the design and development of point of sale systems and on consumers behavior. This volume covers a large range of topics that contribute to understanding consumers behavior in new computer-aided retailing environments, and how this influences buying behavior while providing useful knowledge on the management of these new technologies and on the management of the digital contents as a reliable teaching resource for teachers and researchers.