Description:
The Art of Regression Modeling in Road Safety is a book that explains how to use regression models and commonly available data for evidence-based road safety management and research. The book explains how to fit a multivariable statistical model to cross-sectional safety data using a simple spreadsheet. It also promotes the understanding that is at the core of good modeling. It covers the key topics in road safety analysis: safety performance functions (SPFs), exploratory analysis, curve-fitting, choosing functional forms, assessing the goodness of fit, using CURE plots, and choosing and adding variables to the model. The book also provides sample problems with solutions and equips readers with knowledge to perform related analyses using an Excel spreadsheet with Solver.
Tool Type:
Application Guide
Owner Source:
private_company
Sponsor/Owner:
- Springer International Publishing Switzerland 2015
Published:
Availability:
This application guide is available for a fee at the following link: The Art of Regression Modeling in Road Safety
Disclaimer:
This information is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The U.S. Government assumes no liability for the use of the information contained herein. This information does not constitute a standard, specification, or regulation. The U.S. Government does not endorse products or manufacturers. Trademarks or manufacturer's names appear in this information only because they are considered essential to the objective of this publication.
Any opinions, findings, and conclusions or recommendations, and translations thereof, expressed in this publication are those of the author(s) and do not necessarily reflect the views of the Federal Highway Administration.