Mapping the Travel Behavior Genome covers the latest research on the biological, motivational, cognitive, situational, and dispositional factors that drive activity-travel behavior. Organized into three sections, Retrospective and Prospective Survey of Travel Behavior Research, New Research Methods and Findings, and Future Research, the chapters of this book provide evidence of progress made in the most recent years in four dimensions of the travel behavior genome. These dimensions are Substantive Problems, Theoretical and Conceptual Frameworks, Behavioral Measurement, and Behavioral Analysis. Including the movement of goods as well as the movement of people, the book shows how traveler values, norms, attitudes, perceptions, emotions, feelings, and constraints lead to observed behavior; how to design efficient infrastructure and services to meet tomorrow's needs for accessibility and mobility; how to assess equity and distributional justice; and how to assess and implement policies for improving sustainability and quality of life. Mapping the Travel Behavior Genome examines the paradigm shift toward more dynamic, user-centric, demand-responsive transport services, including the "sharing economy," mobility as a service, automation, and robotics. This volume provides research directions to answer behavioral questions emerging from these upheavals.

The fundamental burden of a theory of inductive inference is to determine which are the good inductive inferences or relations of inductive support and why it is that they are so. The traditional approach is modeled on that taken in accounts of deductive inference. It seeks universally applicable schemas or rules or a single formal device, such as the probability calculus. After millennia of halting efforts, none of these approaches has been unequivocally successful and debates between approaches persist.The Material Theory of Induction identifies the source of these enduring problems in the assumption taken at the outset: that inductive inference can be accommodated by a single formal account with universal applicability. Instead, it argues that that there is no single, universally applicable formal account. Rather, each domain has an inductive logic native to it. Which that is, and its extent, is determined by the facts prevailing in that domain. Paying close attention to how inductive inference is conducted in science and copiously illustrated with real-world examples, The Material Theory of Induction will initiate a new tradition in the analysis of inductive inference.

Social Impacts of Smart Grids: The Future of Smart Grids and Energy Market Design explores the significant, unexplored societal consequences of our meteoric evolution towards intelligent, responsive and sustainable power generation and distribution systems-the so-called 'smart grid'. These consequences include new patterns of consumption behavior, systems planning under increasing uncertainty, and the ever- growing complexities involved. The work covers the historical impact of the transformation, examines the changing role of production and consumption behavior, articulates the principles and options for socially responsible smart grid power market design, and explores social acceptance of the smart grid. Where relevant, it examines adjacent literatures from P2P electricity markets, electric vehicles, smart homes and smart cities, and related 'internet of energy' developments. Finally, it provides insights into mitigating the likely social consequences of our integrated low-carbon energy future.

Over the past twenty years, there's been a gradual shift in the way forensic scientists approach the evaluation of DNA profiling evidence that is taken to court. Many laboratories are now adopting 'probabilistic genotyping' to interpret complex DNA mixtures. However, current practice is very diverse, where a whole range of technologies are used to interpret DNA profiles and the software approaches advocated are commonly used throughout the world. Forensic Practitioner's Guide to the Interpretation of Complex DNA Profiles places the main concepts of DNA profiling into context and fills a niche that is unoccupied in current literature. The book begins with an introduction to basic forensic genetics, covering a brief historical description of the development and harmonization of STR markers and national DNA databases. The laws of statistics are described, along with the likelihood ratio based on Hardy-Weinberg equilibrium and alternative models considering sub-structuring and relatedness. The historical development of low template mixture analysis, theory and practice, is also described, so the reader has a full understanding of rationale and progression. Evaluation of evidence and statement writing is described in detail, along with common pitfalls and their avoidance. The authors have been at the forefront of the revolution, having made substantial contributions to theory and practice over the past two decades. All methods described are open-source and freely available, supported by sets of test-data and links to web-sites with further information. This book is written primarily for the biologist with little or no statistical training. However, sufficient information will also be provided for the experienced statistician. Consequently, the book appeals to a diverse audience

Please note that this Floris Books edition has been revised for UK and European notation, language and metric systems. From the early peoples who marvelled at the geometry of nature -- the beehive and bird's nest -- to ancient civilisations who questioned beautiful geometric forms and asked 'why?', the story of geometry spans thousands of years. Using only three simple tools -- the string, the straight-edge and the shadow -- human beings revealed the basic principles and constructions of elementary geometry. Weaving history and legend, this fascinating book reconstructs the discoveries of mathematics's most famous figures. Through illustrations and diagrams, readers are able to follow the reasoning that lead to an ingenious proof of the Pythagorean theorem, an appreciation of the significance of the Golden Mean in art and architecture, or the construction of the five regular solids. This insightful and engaging book makes geometry accessible to everyone. Readers will be fascinated with how the knowledge and wisdom of so many cultures helped shape our civilisation today. String, Straight-edge and Shadow is also a useful and inspiring book for those teaching geometry in Steiner-Waldorf classrooms.

What our health data tell American capitalism about our value-and how that controls our lives. Afterlives of Data follows the curious and multiple lives that our data live once they escape our control. Mary F. E. Ebeling's ethnographic investigation shows how information about our health and the debt that we carry becomes biopolitical assets owned by healthcare providers, insurers, commercial data brokers, credit reporting companies, and platforms. By delving into the oceans of data built from everyday medical and debt traumas, Ebeling reveals how data about our lives come to affect our bodies and our life chances and to wholly define us. Investigations into secretive data collection and breaches of privacy by the likes of Cambridge Analytica have piqued concerns among many Americans about exactly what is being done with their data. From credit bureaus and consumer data brokers like Equifax and Experian to the secretive military contractor Palantir, this massive industry has little regulatory oversight for health data and works to actively obscure how it profits from our data. In this book, Ebeling traces the health data-medical information extracted from patients' bodies-that are digitized and repackaged into new data commodities that have afterlives in database lakes and oceans, algorithms, and statistical models used to score patients on their creditworthiness and riskiness. Critical and disturbing, Afterlives of Data examines how Americans' data about their health and their debt are used in the service of marketing and capitalist surveillance.