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Author :
Publisher :
ISBN 13 :
Total Pages : 490 pages
Book Rating : 4.3/5 (91 download)
Download or read book Road & Transport Research written by and published by . This book was released on 2003 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Publisher :
ISBN 13 :
Total Pages : 842 pages
Book Rating : 4.1/5 (981 download)
Download or read book Transportation Research Record written by and published by . This book was released on 1974 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : National Research Council (U.S.). Transportation Research Board
Publisher :
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.:/5 ( download)
Download or read book Data and Information Technology written by National Research Council (U.S.). Transportation Research Board and published by . This book was released on 2004 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transportation Research Record 1804 considers travel-time estimates obtained from intelligent transportation systems and instrumented test vehicles, the cleaning of matched license plate data, design characteristics of national travel surveys, spatial behavioral data, and techniques for building multijurisdictional geographic information system platforms for transportation analysis.
Author :
Publisher :
ISBN 13 :
Total Pages : 1284 pages
Book Rating : 4.3/5 (129 download)
Download or read book Government Reports Announcements & Index written by and published by . This book was released on 1980 with total page 1284 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Andrew Gelman
Publisher : CRC Press
ISBN 13 : 1439840954
Total Pages : 677 pages
Book Rating : 4.4/5 (398 download)
Download or read book Bayesian Data Analysis, Third Edition written by Andrew Gelman and published by CRC Press. This book was released on 2013-11-01 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
Author : Rachel Berney
Publisher : Routledge
ISBN 13 : 131717433X
Total Pages : 240 pages
Book Rating : 4.3/5 (171 download)
Download or read book Bicycle Urbanism written by Rachel Berney and published by Routledge. This book was released on 2018-02-07 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over recent decades, bicycling has received renewed interest as a means of improving transportation through crowded cities, improving personal health, and reducing environmental impacts associated with travel. Much of the discussion surrounding cycling has focused on bicycle facility design—how to best repurpose road infrastructure to accommodate bicycling. While part of the discussion has touched on culture, such as how to make bicycling a larger part of daily life, city design and planning have been sorely missing from consideration. Whilst interdisciplinary in its scope, this book takes a primarily planning approach to examining active transportation, and especially bicycling, in urban areas. The volume examines the land use aspects of the city—not just the streetscape. Illustrated using a range of case studies from the USA, Canada, and Australia, the volume provides a comprehensive overview of key topics of concern around cycling in the city including: imagining the future of bicycle-friendly cities; integrating bicycling into urban planning and design; the effects of bike use on health and environment; policies for developing bicycle infrastructure and programs; best practices in bicycle facility design and implementation; advances in technology, and economic contributions.
Author : Kenneth Train
Publisher : Cambridge University Press
ISBN 13 : 0521766559
Total Pages : 399 pages
Book Rating : 4.5/5 (217 download)
Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
Author : Stephane Hess
Publisher : Edward Elgar Publishing
ISBN 13 : 1781007276
Total Pages : 322 pages
Book Rating : 4.7/5 (81 download)
Download or read book Choice Modelling written by Stephane Hess and published by Edward Elgar Publishing. This book was released on 2013-01-01 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'This collection of papers, by leading researchers in the field, provides an excellent view of the current state of research and applications. Exciting new techniques are presented, and realistic solutions are offered to issues that arise in applied work. It is an admirably rich volume, offering valuable insights for all readers of choice modeling.' Kenneth Train, University of California, Berkeley and NERA Economic Consulting, Inc., San Francisco, California, US 'I'm an enthusiastic fan of the ICMC, where researchers are friendly, genuinely interested in learning from and helping one another. There is much to learn because each discipline brings a different perspective to the field and to theoretical and applied problems in decision-making and choice behavior. The ICMC embodies the philosophy that most real choice problems are complex and require a cross-disciplinary approach. The papers in this volume represent an eclectic cross-section of the topics covered by key researchers in the field. I look forward to getting our PhD students and postdocs stuck into them.' Jordan Louviere, University of Technology Sydney, Australia Choice modelling has been one of the most active fields in economics over recent years. This valuable new book contains leading contributions from academics and practitioners from across the different areas of study where choice modelling is a key analytical technique, drawn from a recent international conference. Choice models explain the behaviour of individuals by quantifying their values, responses and perceptions of attributes describing the various options (alternatives) available to them. Policy makers and planners have long since recognised the potential of using choice models for guidance purposes, with applications in fields as diverse as transport analysis, healthcare, telecommunications, public service evaluation and energy. The unique mix of theoretical and applied chapters will appeal to academics, students, researchers and practitioners in various fields, as well as anyone with a general interest in the subject.
Author : Andreas Horni
Publisher : Ubiquity Press
ISBN 13 : 190918876X
Total Pages : 620 pages
Book Rating : 4.9/5 (91 download)
Download or read book The Multi-Agent Transport Simulation MATSim written by Andreas Horni and published by Ubiquity Press. This book was released on 2016-08-10 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: The MATSim (Multi-Agent Transport Simulation) software project was started around 2006 with the goal of generating traffic and congestion patterns by following individual synthetic travelers through their daily or weekly activity programme. It has since then evolved from a collection of stand-alone C++ programs to an integrated Java-based framework which is publicly hosted, open-source available, automatically regression tested. It is currently used by about 40 groups throughout the world. This book takes stock of the current status. The first part of the book gives an introduction to the most important concepts, with the intention of enabling a potential user to set up and run basic simulations. The second part of the book describes how the basic functionality can be extended, for example by adding schedule-based public transit, electric or autonomous cars, paratransit, or within-day replanning. For each extension, the text provides pointers to the additional documentation and to the code base. It is also discussed how people with appropriate Java programming skills can write their own extensions, and plug them into the MATSim core. The project has started from the basic idea that traffic is a consequence of human behavior, and thus humans and their behavior should be the starting point of all modelling, and with the intuition that when simulations with 100 million particles are possible in computational physics, then behavior-oriented simulations with 10 million travelers should be possible in travel behavior research. The initial implementations thus combined concepts from computational physics and complex adaptive systems with concepts from travel behavior research. The third part of the book looks at theoretical concepts that are able to describe important aspects of the simulation system; for example, under certain conditions the code becomes a Monte Carlo engine sampling from a discrete choice model. Another important aspect is the interpretation of the MATSim score as utility in the microeconomic sense, opening up a connection to benefit cost analysis. Finally, the book collects use cases as they have been undertaken with MATSim. All current users of MATSim were invited to submit their work, and many followed with sometimes crisp and short and sometimes longer contributions, always with pointers to additional references. We hope that the book will become an invitation to explore, to build and to extend agent-based modeling of travel behavior from the stable and well tested core of MATSim documented here.
Author :
Publisher : Transportation Research Board
ISBN 13 : 0309214009
Total Pages : 170 pages
Book Rating : 4.3/5 (92 download)
Download or read book Travel Demand Forecasting: Parameters and Techniques written by and published by Transportation Research Board. This book was released on 2012 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: TRB’s National Cooperative Highway Research Program (NCHRP) Report 716: Travel Demand Forecasting: Parameters and Techniques provides guidelines on travel demand forecasting procedures and their application for helping to solve common transportation problems.
Author : Richard McElreath
Publisher : CRC Press
ISBN 13 : 1315362619
Total Pages : 488 pages
Book Rating : 4.3/5 (153 download)
Download or read book Statistical Rethinking written by Richard McElreath and published by CRC Press. This book was released on 2018-01-03 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Author : John Kruschke
Publisher : Academic Press
ISBN 13 : 0123814863
Total Pages : 673 pages
Book Rating : 4.1/5 (238 download)
Download or read book Doing Bayesian Data Analysis written by John Kruschke and published by Academic Press. This book was released on 2010-11-25 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained intuitively and with concrete examples. It assumes only algebra and 'rusty' calculus. Unlike other textbooks, this book begins with the basics, including essential concepts of probability and random sampling. The book gradually climbs all the way to advanced hierarchical modeling methods for realistic data. The text provides complete examples with the R programming language and BUGS software (both freeware), and begins with basic programming examples, working up gradually to complete programs for complex analyses and presentation graphics. These templates can be easily adapted for a large variety of students and their own research needs.The textbook bridges the students from their undergraduate training into modern Bayesian methods. - Accessible, including the basics of essential concepts of probability and random sampling - Examples with R programming language and BUGS software - Comprehensive coverage of all scenarios addressed by non-bayesian textbooks- t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis). - Coverage of experiment planning - R and BUGS computer programming code on website - Exercises have explicit purposes and guidelines for accomplishment
Author : Marcello D'Orazio
Publisher : John Wiley & Sons
ISBN 13 : 0470023546
Total Pages : 268 pages
Book Rating : 4.4/5 (7 download)
Download or read book Statistical Matching written by Marcello D'Orazio and published by John Wiley & Sons. This book was released on 2006-03-30 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and Practice introduces the basics of statistical matching, before going on to offer a detailed, up-to-date overview of the methods used and an examination of their practical applications. Presents a unified framework for both theoretical and practical aspects of statistical matching. Provides a detailed description covering all the steps needed to perform statistical matching. Contains a critical overview of the available statistical matching methods. Discusses all the major issues in detail, such as the Conditional Independence Assumption and the assessment of uncertainty. Includes numerous examples and applications, enabling the reader to apply the methods in their own work. Features an appendix detailing algorithms written in the R language. Statistical Matching: Theory and Practice presents a comprehensive exploration of an increasingly important area. Ideal for researchers in national statistics institutes and applied statisticians, it will also prove to be an invaluable text for scientists and researchers from all disciplines engaged in the multivariate analysis of data collected from different sources.
Author : Gary King
Publisher : Cambridge University Press
ISBN 13 : 9780521542807
Total Pages : 436 pages
Book Rating : 4.5/5 (428 download)
Download or read book Ecological Inference written by Gary King and published by Cambridge University Press. This book was released on 2004-09-13 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing upon the recent explosion of research in the field, a diverse group of scholars surveys the latest strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays offers many fresh and important contributions to the study of ecological inference.
Author : National Research Council (U.S.). Highway Research Information Service
Publisher :
ISBN 13 :
Total Pages : 930 pages
Book Rating : 4.:/5 (1 download)
Download or read book HRIS Abstracts written by National Research Council (U.S.). Highway Research Information Service and published by . This book was released on 1988 with total page 930 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kenneth A. Small
Publisher : Taylor & Francis
ISBN 13 : 135165344X
Total Pages : 433 pages
Book Rating : 4.3/5 (516 download)
Download or read book The Economics of Urban Transportation written by Kenneth A. Small and published by Taylor & Francis. This book was released on 2024-06-10 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of the seminal textbook The Economics of Urban Transportation incorporates the latest research affecting the design, implementation, pricing, and control of transport systems in towns and cities. The book offers an economic framework for understanding the societal impacts and policy implications of many factors including congestion, traffic safety, climate change, air quality, COVID-19, and newly important developments such as ride-hailing services, electric vehicles, and autonomous vehicles. Rigorous in approach and making use of real-world data and econometric techniques, the third edition features a new chapter on the special challenges of managing the energy that powers transportation systems. It provides fully updated coverage of well-known topics and a rigorous treatment of new ones. All of the basic topics needed to apply economics to urban transportation are included: Forecasting demand for transportation services under various conditions Measuring costs, including those incurred by users and incorporating two new tools to describe congestion in dense urban areas Setting prices under practical constraints Evaluating infrastructure investments Understanding how private and public sectors interact to provide services Written by three of the field’s leading researchers, The Economics of Urban Transportation is essential reading for students, researchers, and practicing professionals in transportation economics, planning, engineering, or related disciplines. With a focus on workable models that can be adapted to future needs, it provides tools for a rapidly changing world.
Author : Joseph K. Blitzstein
Publisher : CRC Press
ISBN 13 : 1466575573
Total Pages : 599 pages
Book Rating : 4.4/5 (665 download)
Download or read book Introduction to Probability written by Joseph K. Blitzstein and published by CRC Press. This book was released on 2014-07-24 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
