This unique book explains how to fashion useful regression models from commonly available data to erect models essential for evidence-based road safety management and research. Composed from techniques and best practices presented over many years of lectures and workshops, The Art of Regression Modeling in Road Safety illustrates that fruitful modeling cannot be done without substantive knowledge about the modeled phenomenon. Class-tested in courses and workshops across North America, the book is ideal for professionals, researchers, university professors, and graduate students with an interest in, or responsibilities related to, road safety. This book also: Am Presents for the first time a powerful analytical tool for road safety researchers and practitioners Am Includes problems and solutions in each chapter as well as data and spreadsheets for running models and PowerPoint presentation slides Am Features pedagogy well-suited for graduate courses and workshops including problems, solutions, and PowerPoint presentations Am Equips readers to perform all analyses on a spreadsheet without requiring mastery of complex and costly software Am Emphasizes understanding without esoteric mathematics Am Makes assumptions visible and explains their role and consequencesIn road safety interaction is omnipresent; the effect of Lane Width depends on Shoulder Width, of Horizontal Curvature on Tangent Length, etc. ... References AASHTO (The American Association of State Highway and Transportation Officials) (2010) Highway safety manual, 1st edn Chen Y, Persaud B (2014) ... Accid Anal Prev 50:73a82 Edwards AWF (1976) Likelihood. ... Accid Anal Prev 15(4):275a285 Hauer E (2004) Statistical safety modelling, Transportation research record 1897.
|Title||:||The Art of Regression Modeling in Road Safety|
|Publisher||:||Springer - 2014-12-10|