Fred Mannering | |
---|---|
Born | November 1954 |
Nationality | American |
Alma mater | Massachusetts Institute of Technology (Ph.D.) |
Title | Professor, University of South Florida |
Fred Mannering is an American scientist/engineer who is most known for the development and application of statistical and econometric methods to study highway safety, economics, travel behavior, and a variety of engineering-related problems.
Mannering was born in 1954 (November) in Pittsburgh, Pennsylvania. He graduated from suburban Pittsburgh's South Fayette High School, received his B.S. degree in Engineering from the University of Saskatchewan, M.S. degree from Purdue University, and Ph.D. in Engineering from the Massachusetts Institute of Technology where his doctoral committee consisted of Clifford Winston (advisor), Daniel McFadden (2000 Nobel Prize laureate in Economics) and Ann Fetter Friedlaender.
Mannering is currently a Professor of Civil and Environmental Engineering (with a courtesy appointment in Economics) and Executive Director of the Center for Urban Transportation Research at the University of South Florida. He previously held academic positions as Head of Civil Engineering and later as the Charles Pankow Professor at Purdue University. Prior to joining Purdue University, he was a Professor and Chair of Civil and Environmental Engineering [1] at the University of Washington and an Assistant Professor at the Pennsylvania State University.
Mannering has received numerous awards in his discipline. In 2005 he won the Wilbur S. Smith Award, [2] in 2009 the James Laurie Prize, [3] and in 2010 the Arthur M. Wellington Prize [4] for his papers and work in highway safety (all three awarded by the American Society of Civil Engineers). He received the Murphy Teaching Award, Purdue University's highest undergraduate teaching honor, in 2013. [5] [6] In 2016, he was named by the Eno Foundation as one of the Top 10 Transportation Thought Leaders in Academia [7] and in 2019, his 1996 paper on highway accident frequency was recognized by the American Society of Civil Engineers as one of four Journal of Transportation Engineering Part A: Systems papers that have been instrumental in moving civil engineering forward or have changed the practice of transportation engineering, infrastructure, and development. [8] In 2020, Mannering was recognized as the most highly-cited author (highest total citations and citations per paper) in the 50-year history of the journal Accident Analysis and Prevention [9] and in 2021 he received the Council of University Transportation Centers (HNTB-CUTC) Lifetime Achievement Award. [10] For five consecutive years (2019 to 2023 inclusive), Mannering was recognized as a Highly Cited Researcher on Clarivate's annual list of the world's most influential researchers, a list of researchers recognized for writing multiple highly cited papers that rank in the top 1% by citations for research field and publication year in Web of Science. [11] [12] [13] [14] [15]
Mannering is known for his work in highway safety, statistics, and econometrics. He has published extensively with over 150 journal articles. [16] [17] Some of his most impactful work includes research on highway accident frequency and injury severity, [18] [19] the effects of unobserved heterogeneity in highway safety analysis, [20] and his work on temporal instability in the analysis of highway accident data. [21] He has contributed to the advancement of science and engineering through his teaching and as an author of two widely adopted textbooks: Principles of Highway Engineering and Traffic Analysis and Statistical and Econometric Methods for Transportation Data Analysis. Mannering is Editor-in-Chief (and founding Editor) of the journal Analytic Methods in Accident Research [22] and past Editor-in-Chief and current Distinguished Editorial Board Member of the journal Transportation Research Part B - Methodological. [23]
Mannering was a founding member and the lead guitarist in the Seattle Heavy Metal band Vulgaris from 1993 to 1996. [24] [25]
Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part of this method involves computing a combined effect size across all of the studies. As such, this statistical approach involves extracting effect sizes and variance measures from various studies. By combining these effect sizes the statistical power is improved and can resolve uncertainties or discrepancies found in individual studies. Meta-analyses are integral in supporting research grant proposals, shaping treatment guidelines, and influencing health policies. They are also pivotal in summarizing existing research to guide future studies, thereby cementing their role as a fundamental methodology in metascience. Meta-analyses are often, but not always, important components of a systematic review.
Chemometrics is the science of extracting information from chemical systems by data-driven means. Chemometrics is inherently interdisciplinary, using methods frequently employed in core data-analytic disciplines such as multivariate statistics, applied mathematics, and computer science, in order to address problems in chemistry, biochemistry, medicine, biology and chemical engineering. In this way, it mirrors other interdisciplinary fields, such as psychometrics and econometrics.
Design for Six Sigma (DFSS) is a collection of best-practices for the development of new products and processes. It is sometimes deployed as an engineering design process or business process management method. DFSS originated at General Electric to build on the success they had with traditional Six Sigma; but instead of process improvement, DFSS was made to target new product development. It is used in many industries, like finance, marketing, basic engineering, process industries, waste management, and electronics. It is based on the use of statistical tools like linear regression and enables empirical research similar to that performed in other fields, such as social science. While the tools and order used in Six Sigma require a process to be in place and functioning, DFSS has the objective of determining the needs of customers and the business, and driving those needs into the product solution so created. It is used for product or process design in contrast with process improvement. Measurement is the most important part of most Six Sigma or DFSS tools, but whereas in Six Sigma measurements are made from an existing process, DFSS focuses on gaining a deep insight into customer needs and using these to inform every design decision and trade-off.
Risk compensation is a theory which suggests that people typically adjust their behavior in response to perceived levels of risk, becoming more careful where they sense greater risk and less careful if they feel more protected. Although usually small in comparison to the fundamental benefits of safety interventions, it may result in a lower net benefit than expected or even higher risks.
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Building science is the science and technology-driven collection of knowledge in order to provide better indoor environmental quality (IEQ), energy-efficient built environments, and occupant comfort and satisfaction. Building physics, architectural science, and applied physics are terms used for the knowledge domain that overlaps with building science. In building science, the methods used in natural and hard sciences are widely applied, which may include controlled and quasi-experiments, randomized control, physical measurements, remote sensing, and simulations. On the other hand, methods from social and soft sciences, such as case study, interviews & focus group, observational method, surveys, and experience sampling, are also widely used in building science to understand occupant satisfaction, comfort, and experiences by acquiring qualitative data. One of the recent trends in building science is a combination of the two different methods. For instance, it is widely known that occupants' thermal sensation and comfort may vary depending on their sex, age, emotion, experiences, etc. even in the same indoor environment. Despite the advancement in data extraction and collection technology in building science, objective measurements alone can hardly represent occupants' state of mind such as comfort and preference. Therefore, researchers are trying to measure both physical contexts and understand human responses to figure out complex interrelationships.
The pavement condition index (PCI) is a numerical index between 0 and 100, which is used to indicate the general condition of a pavement section. The PCI is widely used in transportation civil engineering and asset management, and many municipalities use it to measure the performance of their road infrastructure and their levels of service. It is a statistical measure and requires manual survey of the pavement. This index was originally developed by the United States Army Corps of Engineers as an airfield pavement rating system, but later modified for roadway pavements and standardized by the ASTM. The surveying processes and calculation methods have been documented and standardized by ASTM for both roads and airport pavements:
Accident Analysis & Prevention is a bimonthly peer-reviewed public health journal covering accident prevention published by Elsevier on behalf of the Association for the Advancement of Automotive Medicine.
The UC Irvine Institute of Transportation Studies (ITS), is a University of California organized research unit with sister branches at UC Berkeley, UC Davis, and UCLA. ITS was established to foster research, education, and training in the field of transportation. UC Irvine ITS is located on the fourth floor of the Anteater Instruction and Research Building at University of California, Irvine's main Campus, and also houses the UC Irvine Transportation Science graduate studies program.
Prof. Geetam Tiwari is currently the TRIPP Chair Professor at the Department of Civil Engineering of the Indian Institute of Technology in New Delhi, India.
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Patent analysis is the process of analyzing the texts of patent disclosures and other information from the patent lifecycle. Patent analysis is used to obtain deeper insights into different technologies and innovation. Other terms are sometimes used as synonyms for patent analytics: patent landscape, patent mapping, or cartography. However, there is no harmonized terminology in different languages, including in French and Spanish. Patent analytics encompasses the analysis of patent data, analysis of the scientific literature, data cleaning, text mining, machine learning, geographic mapping, and data visualisation.
Ahsan Kareem is the Robert M. Moran Professor of Engineering in the Department of Civil & Environmental Engineering and Earth Sciences (CEEES) at the University of Notre Dame. He is Director of the Nathaz Modeling Laboratory and served as the past Chair at the Department of CEEES at the University of Notre Dame.
Edna Schechtman was an Israeli statistician, a professor emeritus of statistics at the Department of Industrial Engineering and Management, Ben-Gurion University of the Negev. She is best known for development of statistical tools that utilize the Gini Mean Difference (GMD) as the measure of association.
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