Highway Safety Analytics and Modeling, 9780443300264
Paperback
Unlock safer roads: Data-driven insights for transportation engineering and policy.
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Highway Safety Analytics and Modeling

$339.17

  • Paperback

    440 pages

  • Release Date

    1 December 2025

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Summary

Highway Safety Analytics and Modeling: A Data-Driven Approach to Safer Roads

Highway Safety Analytics and Modeling, Second Edition, is your comprehensive guide to making informed transportation engineering and policy decisions using highway safety data analysis. This single reference covers every step of the decision-making process, from data collection and assembly to model development and results evaluation.

This book delves into the challenges of working with crash and na…

Book Details

ISBN-13:9780443300264
ISBN-10:0443300267
Author:Dominique Lord, Xiao Qin, Srinivas R. Geedipally
Publisher:Elsevier - Health Sciences Division
Imprint:Elsevier - Health Sciences Division
Format:Paperback
Number of Pages:440
Edition:2nd
Release Date:1 December 2025
Weight:450g
Dimensions:229mm x 152mm
About The Author

Dominique Lord

Dr. Dominique Lord is a professor and holder of the A.P. and Florence Wiley Faculty Fellowship in the Zachry Department of Civil and Environmental Engineering at Texas A&M University. Over the last 27 years, Dr. Lord has conducted numerous research studies in the United States, Canada, and across the world in highway design and safety. Dr. Lord’s primary interests are conducting fundamental research on accident analysis methodology, new and innovative statistical methods for modeling motor vehicle collisions, and before-after evaluation techniques. He has extensive experience in data analysis techniques and developed new tools that have been used by engineers and scientists across the world. His other research interests include problems associated with the crash data collection process, safety audits, and traffic flow theory. He has had more than 150 papers published in peer-reviewed journals and more than 140 papers presented at international conferences with a peer-reviewed process.

Dr. Xiao Qin is the Lawrence E. Sivak ’71 Professor in the Department of Civil and Environmental Engineering and Director of the Institute for Physical Infrastructure and Transportation (IPIT) at the University of Wisconsin-Milwaukee, USA. Dr. Qin has authored over 150 refereed journal articles, conference proceedings, and technical reports, covering the areas of highway safety, traffic operations, and GIS applications in Transportation. His research has been instrumental in identifying critical safety issues in transportation systems and addressing them using effective methodologies. He has conducted extensive research to support decision making in safety project planning and development for state and local agencies and given safety lectures in several universities. He is an Associate Editor of the Journal of Transportation Safety & Security, Journal of Urban Lifeline, and serves on the editorial board of Accident Analysis and Prevention. He received his Ph.D. in Civil and Environmental Engineering from the University of Connecticut.

Dr. Srinivas Geedipally received his doctorate from Texas A&M University and has been with Texas A&M Transportation Institute since 2005. He is currently the Program Manager for Crash Analytics Group and a Research Engineer in the Center for Transportation Safety. He has more than 75 papers published in high-standard international journals and conferences. Dr. Geedipally is an advisory board member of the Analytic Methods in Accident Research journal and a handling editor of the Transportation Research Record journal. He has participated in numerous traffic safety research projects with state and federal governments and international sponsors. He has been a key contributor in the development of the Highway Safety Manual. He is a registered professional engineer in the state of Texas. Dr. Geedipally is a two-time recipient of the young researcher award, winner of best paper award, and a Fred Burggraf award winner from the TRB.

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