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"TRB's National Cooperative Highway Research Program (NCHRP) Report 760: Improving the Quality of Motorcycle Travel Data Collection presents an analysis of traffic counting technologies and data collection protocols designed to help improve the reliability of motorcycle travel data. The technologies examined include infrared classifiers, inductive loops/piezoelectric sensors, magnetometers, multi-sensor technologies, and tracking video. The report describes the performance of each technology in terms of accuracy, initial cost, portability, and ease of setup and operation. The report also evaluates and validates a hypothesis that motorcycle crash locations are reasonable predictors of traffic volume. A correlation between crash sites and volume may enable a state department of transportation to select traffic counting locations that could yield more accurate data on motorcycle traffic volumes." -- Publisher's description
"TRB's National Cooperative Highway Research Program (NCHRP) Report 760: Improving the Quality of Motorcycle Travel Data Collection presents an analysis of traffic counting technologies and data collection protocols designed to help improve the reliability of motorcycle travel data. The technologies examined include infrared classifiers, inductive loops/piezoelectric sensors, magnetometers, multi-sensor technologies, and tracking video. The report describes the performance of each technology in terms of accuracy, initial cost, portability, and ease of setup and operation. The report also evaluates and validates a hypothesis that motorcycle crash locations are reasonable predictors of traffic volume. A correlation between crash sites and volume may enable a state department of transportation to select traffic counting locations that could yield more accurate data on motorcycle traffic volumes."--Publisher's description
"This book concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry, providing 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"--Provided by publisher.
At head of title: National Cooperative Freight Research Program.
The book's website (with databases and other support materials) can be accessed here. Praise for the Second Edition: The second edition introduces an especially broad set of statistical methods ... As a lecturer in both transportation and marketing research, I find this book an excellent textbook for advanced undergraduate, Master’s and Ph.D. students, covering topics from simple descriptive statistics to complex Bayesian models. ... It is one of the few books that cover an extensive set of statistical methods needed for data analysis in transportation. The book offers a wealth of examples from the transportation field. —The American Statistician Statistical and Econometric Methods for Transportation Data Analysis, Third Edition offers an expansion over the first and second editions in response to the recent methodological advancements in the fields of econometrics and statistics and to provide an increasing range of examples and corresponding data sets. It describes and illustrates some of the statistical and econometric tools commonly used in transportation data analysis. It provides a wide breadth of examples and case studies, covering applications in various aspects of transportation planning, engineering, safety, and economics. Ample analytical rigor is provided in each chapter so that fundamental concepts and principles are clear and numerous references are provided for those seeking additional technical details and applications. New to the Third Edition Updated references and improved examples throughout. New sections on random parameters linear regression and ordered probability models including the hierarchical ordered probit model. A new section on random parameters models with heterogeneity in the means and variances of parameter estimates. Multiple new sections on correlated random parameters and correlated grouped random parameters in probit, logit and hazard-based models. A new section discussing the practical aspects of random parameters model estimation. A new chapter on Latent Class Models. A new chapter on Bivariate and Multivariate Dependent Variable Models. Statistical and Econometric Methods for Transportation Data Analysis, Third Edition can serve as a textbook for advanced undergraduate, Masters, and Ph.D. students in transportation-related disciplines including engineering, economics, urban and regional planning, and sociology. The book also serves as a technical reference for researchers and practitioners wishing to examine and understand a broad range of statistical and econometric tools required to study transportation problems.
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