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Engineering and Technology

D-Index
55
Citations
15906
World Ranking
2934
National Ranking
884

Overview

Dominique Lord is affiliated with Texas A&M University in the United States. Their research focuses primarily on engineering, with significant contributions to safety, risk, reliability, and quality, as well as transportation and related subfields.

The scientist has published extensively in fields intersecting traffic safety, urban transport, and traffic management. Their work addresses various aspects such as traffic and road safety, urban transport and accessibility, traffic prediction and management techniques, injury epidemiology and prevention, and automotive and human injury biomechanics.

Frequent coauthors include Srinivas Reddy Geedipally, Subasish Das, Bahar Dadashova, Xiao Qin, and Richard Dzinyela, illustrating a collaborative approach to research across multiple related domains.

Dominique Lord has contributed to several notable publication venues, with many papers appearing in:

  • Accident Analysis & Prevention
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Transportmetrica A Transport Science
  • Transportation Research Record Journal of the Transportation Research Board

Recent papers authored or coauthored by the scientist include:

  • "Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research" (2021), published in Accident Analysis & Prevention
  • "Impacts of Autonomous Vehicles on Public Health: A Conceptual Model and Policy Recommendations" (2020), published in Sustainable Cities and Society
  • "Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway on an urban arterial" (2021), published in Accident Analysis & Prevention
  • "A multi-year statistical analysis of driver injury severities in single-vehicle freeway crashes with and without airbags deployed" (2024), published in Analytic Methods in Accident Research
  • "Examining driver distraction in the context of driving speed: An observational study using disruptive technology and naturalistic data" (2021), published in Accident Analysis & Prevention

Dominique Lord has also published several books through the Transportation Research Board eBooks, including:

  • Safety Prediction Methodology and Analysis Tool for Freeways and Interchanges (2021)
  • Identification of Factors Contributing to the Decline of Traffic Fatalities in the United States from 2008 to 2012 (2020)
  • Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials (2022)
  • Safety Effects of Raising Speed Limits to 75 mph and Higher (2022)
  • Guide to Understanding Effects of Raising Speed Limits (2022)

Best Publications

  • The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

    Dominique Lord;Fred L. Mannering

  • The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives.

    Peter T. Savolainen;Fred L. Mannering;Dominique Lord;Mohammed Abdul Quddus

  • Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory

    Dominique Lord;Simon P. Washington;John N. Ivan

  • MODELING TRAFFIC CRASH-FLOW RELATIONSHIPS FOR INTERSECTIONS: DISPERSION PARAMETER, FUNCTIONAL FORM, AND BAYES VERSUS EMPIRICAL BAYES METHODS

    Shaw-Pin Miaou;Dominique Lord

  • Modeling motor vehicle crashes using Poisson-gamma models: examining the effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter.

    Dominique Lord

  • Comparing Three Commonly Used Crash Severity Models on Sample Size Requirements: Multinomial Logit, Ordered Probit, and Mixed Logit Models

    Fan Ye;Dominique Lord

  • Safety Effect of Roundabout Conversions in the United States: Empirical Bayes Observational Before-After Study

    Bhagwant N. Persaud;Richard A. Retting;Per E. Garder;Dominique Lord

  • Predicting motor vehicle crashes using Support Vector Machine models.

    Xiansheng Li;Dominique Lord;Yunlong Zhang;Yuanchang Xie

  • Multivariate Poisson-Lognormal Models for Jointly Modeling Crash Frequency by Severity

    Eun Sug Park;Dominique Lord

  • Accident Prediction Models With and Without Trend: Application of the Generalized Estimating Equations Procedure

    Dominique Lord;Bhagwant N. Persaud

  • Further notes on the application of zero-inflated models in highway safety

    Dominique Lord;Simon P. Washington;John N. Ivan

  • Predicting motor vehicle collisions using Bayesian neural network models: An empirical analysis

    Yuanchang Xie;Dominique Lord;Yunlong Zhang

  • Modeling crash-flow-density and crash-flow-V/C ratio relationships for rural and urban freeway segments.

    Dominique Lord;Abdelaziz Manar;Anna Vizioli

  • Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes

    Dominique Lord;Seth D. Guikema;Srinivas Reddy Geedipally

  • Effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter of Poisson-gamma models for modeling motor vehicle crashes: a Bayesian perspective

    Dominique Lord;Luis F. Miranda-Moreno

  • Application of finite mixture models for vehicle crash data analysis

    Byung-Jung Park;Dominique Lord

  • The negative binomial-Lindley generalized linear model: Characteristics and application using crash data

    Srinivas Reddy Geedipally;Dominique Lord;Soma Sekhar Dhavala

  • CRASH AND INJURY REDUCTION FOLLOWING INSTALLATION OF ROUNDABOUTS IN THE UNITED STATES

    Richard A. Retting;Bhagwant N. Persaud;Per E. Garder;Dominique Lord

  • Investigation of Effects of Underreporting Crash Data on Three Commonly Used Traffic Crash Severity Models: Multinomial Logit, Ordered Probit, and Mixed Logit

    Fan Ye;Dominique Lord

  • Extension of the application of conway-maxwell-poisson models: analyzing traffic crash data exhibiting underdispersion.

    Dominique Lord;Srinivas Reddy Geedipally;Seth D. Guikema

  • Calibration and Transferability of Accident Prediction Models for Urban Intersections

    Bhagwant N. Persaud;Dominique Lord;Joseph Palmisano

  • Modeling Motor Vehicle Crashes Using Poisson-Gamma Models: Examining Effects of Low Sample Mean Values and Small Sample Size on Estimation of Fixed Dispersion Parameter

    Dominique Lord

  • Predicting Motor Vehicle Collisions Using Bayesian Neural Network Models: Empirical Analysis

    Yuanchang Xie;Dominique Lord;Yunlong Zhang

Frequent Co-Authors

Yunlong Zhang
Yunlong Zhang Texas A&M University
Kay Fitzpatrick
Kay Fitzpatrick Texas A&M University
Bhagwant Persaud
Bhagwant Persaud Toronto Metropolitan University
Simon Washington
Simon Washington Queensland University of Technology
Liping Fu
Liping Fu University of Waterloo
Luis F Miranda-Moreno
Luis F Miranda-Moreno McGill University
Seth D. Guikema
Seth D. Guikema University of Michigan–Ann Arbor
Georges Dionne
Georges Dionne HEC Montréal
Bani K. Mallick
Bani K. Mallick Texas A&M University
Fred L. Mannering
Fred L. Mannering University of South Florida

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