Speeding is the number one road safety problem in a large number of OECD/ECMT countries. It is responsible for around one third of the current, unacceptably high levels of road fatalities. Speeding has an impact not only on accidents but also on the ...

This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning.

The study of social influence has been central to social psychology since its inception. In fact, research on social influence predated the coining of the term social psychology. Its influence continued through the 1960s, when it made seminal contributions to the beginning of social psychology's golden age. However, by the mid-1980s, interest in this area waned, while at the same time, and perhaps not coincidentally, interest in social cognition waxed. Now the pendulum is swinging back, as seen in growing interest in non-cognitive, motivational accounts. The Oxford Handbook of Social Influence will contribute to a resurgence of interest in social influence that will restore it to its once preeminent position. Written by leading scholars, the chapters cover a variety of topics related to social influence, incorporating a range of levels of analysis (intrapersonal, interpersonal, and intragroup) and both source (the influencers) and target (the influenced) effects. The volume also examines theories that are most relevant to social infl uence, as well as social influence in applied settings. The chapters contribute to the renaissance of interest in social influence by showing that it is time to reexamine classic topics in social influence; by illustrating how integrations/ elaborations that advance our understanding of social influence processes are now possible; by revealing gaps in the social influence literature; and by suggesting future lines of research. Perhaps the most important of these lines of work will take into account the change from traditional social influence that occurs face-to-face to social media-mediated influence that is likely to characterize many of our interactions in the future.

Summarises the results of research undertaken by two independent research groups (Brainbox Research and the University of Leeds) into the components of interventions that are most likely to change the behaviour of speeding drivers. This work also reports the discussions and consensus of an expert group meeting of scientists and stakeholders.