HR job title
- Professor
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Lord, Dominique Professor
Positions
- Professor, Civil Engineering, College of Engineering
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Overview
Publications
selected publications
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academic article
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Tahir, H. B., Yasmin, S., Lord, D., & Haque, M. M.
(2023).
Examining the performance of engineering treatment evaluation methodologies using the hypothetical treatment and actual treatment settings. Accident Analysis and Prevention.
188, 107108-107108.
-
Islam, A., Shirazi, M., & Lord, D.
(2022).
Finite mixture Negative Binomial-Lindley for modeling heterogeneous crash data with many zero observations. Accident Analysis and Prevention.
175, 106765-106765.
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Ash, J. E., Zou, Y., Lord, D., & Wang, Y.
(2021).
Comparison of confidence and prediction intervals for different mixed-Poisson regression models. Journal of Transportation Safety and Security.
13(3), 357-379.
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Iio, K., Guo, X., & Lord, D.
(2021).
Examining driver distraction in the context of driving speed: An observational study using disruptive technology and naturalistic data. Accident Analysis and Prevention.
153, 105983-105983.
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Guo, X., Wu, L., & Lord, D.
(2020).
Generalized criteria for evaluating hotspot identification methods. Accident Analysis and Prevention.
145, 105684-105684.
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Sohrabi, S., & Lord, D.
(2019).
Impacts of Red-Light Cameras on Intersection Safety: A Bayesian Hierarchical Spatial Model. ITE Journal (Institute of Transportation Engineers).
89(12), 29-36.
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Mao, H., Deng, X., Lord, D., Flintsch, G., & Guo, F.
(2019).
Adjusting finite sample bias in traffic safety modeling. Accident Analysis and Prevention.
131, 112-121.
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Zhao, X. i., Lord, D., & Peng, Y.
(2019).
Examining Network Segmentation for Traffic Safety Analysis With Data-Driven Spectral Analysis. IEEE Access.
7, 120744-120757.
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Zou, Y., Ash, J. E., Park, B., Lord, D., & Wu, L.
(2018).
Empirical Bayes estimates of finite mixture of negative binomial regression models and its application to highway safety. Journal of Applied Statistics.
45(9), 1652-1669.
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Ye, X., Wang, K. e., Zou, Y., & Lord, D.
(2018).
A semi-nonparametric Poisson regression model for analyzing motor vehicle crash data. PLoS ONE.
13(5), e0197338-e0197338.
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Khazraee, S. H., Johnson, V., & Lord, D.
(2018).
Bayesian Poisson hierarchical models for crash data analysis: Investigating the impact of model choice on site-specific predictions. Accident Analysis and Prevention.
117, 181-195.
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Ye, Z., Xu, Y., & Lord, D.
(2018).
Crash data modeling with a generalized estimator. Accident Analysis and Prevention.
117, 340-345.
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Kuo, P., & Lord, D.
(2017).
Estimating the safety impacts in before-after studies using the Naive Adjustment Method. Transportmetrica A: Transport Science.
13(10), 915-931.
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Wu, L., & Lord, D.
(2017).
Examining the influence of link function misspecification in conventional regression models for developing crash modification factors. Accident Analysis and Prevention.
102, 123-135.
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Zou, Y., Henrickson, K., Lord, D., Wang, Y., & Xu, K.
(2016).
Application of finite mixture models for analysing freeway incident clearance time. Transportmetrica A: Transport Science.
12(2), 99-115.
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Zha, L., Lord, D., & Zou, Y.
(2016).
The Poisson inverse Gaussian (PIG) generalized linear regression model for analyzing motor vehicle crash data. Journal of Transportation Safety and Security.
8(1), 18-35.
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Park, B., Lord, D., & Wu, L.
(2016).
Finite mixture modeling approach for developing crash modification factors in highway safety analysis. Accident Analysis and Prevention.
97, 274-287.
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Heydari, S., Fu, L., Lord, D., & Mallick, B. K.
(2016).
Multilevel Dirichlet process mixture analysis of railway grade crossing crash data. Analytic Methods in Accident Research.
9, 27-43.
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Imprialou, M., Quddus, M., Pitfield, D. E., & Lord, D.
(2016).
Re-visiting crash-speed relationships: A new perspective in crash modelling. Accident Analysis and Prevention.
86, 173-185.
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Lv, J., Lord, D., Zhang, Y., & Chen, Z.
(2015).
Investigating Peltzman effects in adopting mandatory seat belt laws in the US: Evidence from non-occupant fatalities. Transport Policy.
44, 58-64.
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Zou, Y., Wu, L., & Lord, D.
(2015).
Modeling over-dispersed crash data with a long tail: Examining the accuracy of the dispersion parameter in Negative Binomial models. Analytic Methods in Accident Research.
5-6, 1-16.
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Wu, L., Lord, D., & Zou, Y.
(2015).
Validation of Crash Modification Factors Derived from Cross-Sectional Studies with Regression Models. Transportation Research Record.
2514(2514), 88-96.
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Heydari, S., Miranda-Moreno, L. F., Lord, D., & Fu, L.
(2014).
Bayesian methodology to estimate and update safety performance functions under limited data conditions: a sensitivity analysis. Accident Analysis and Prevention.
64, 41-51.
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Flask, T., Schneider, W. H., & Lord, D.
(2014).
A segment level analysis of multi-vehicle motorcycle crashes in Ohio using Bayesian multi-level mixed effects models. SAFETY SCIENCE.
66, 47-53.
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Zou, Y., Zhang, Y., & Lord, D.
(2014).
Analyzing different functional forms of the varying weight parameter for finite mixture of negative binomial regression models. Analytic Methods in Accident Research.
1, 39-52.
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Peng, Y., Lord, D., & Zou, Y.
(2014).
Applying the Generalized Waring model for investigating sources of variance in motor vehicle crash analysis. Accident Analysis and Prevention.
73, 20-26.
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Ye, F., & Lord, D.
(2014).
Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models. Analytic Methods in Accident Research.
1, 72-85.
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Wu, L., Zou, Y., & Lord, D.
(2014).
Comparison of Sichel and Negative Binomial Models in Hot Spot Identification. Transportation Research Record.
2460(2460), 107-116.
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Park, B., Lord, D., & Lee, C.
(2014).
Finite mixture modeling for vehicle crash data with application to hotspot identification. Accident Analysis and Prevention.
71, 319-326.
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Kuo, P., Lord, D., & Walden, T. D.
(2013).
Using geographical information systems to organize police patrol routes effectively by grouping hotspots of crash and crime data. Journal of Transport Geography.
30, 138-148.
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Kuo, P., & Lord, D.
(2013).
Accounting for site-selection bias in before-after studies for continuous distributions: Characteristics and application using speed data. Transportation Research Part A: Policy and Practice.
49, 256-269.
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Zou, Y., Zhang, Y., & Lord, D.
(2013).
Application of finite mixture of negative binomial regression models with varying weight parameters for vehicle crash data analysis. Accident Analysis and Prevention.
50, 1042-1051.
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Miranda-Moreno, L. F., Heydari, S., Lord, D., & Fu, L.
(2013).
Bayesian road safety analysis: incorporation of past evidence and effect of hyper-prior choice. JOURNAL OF SAFETY RESEARCH.
46, 31-40.
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Zou, Y., Lord, D., Zhang, Y., & Peng, Y.
(2013).
Comparison of Sichel and Negative Binomial Models in Estimating Empirical Bayes Estimates. Transportation Research Record.
2392(2392), 11-21.
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Ye, Z., Zhang, Y., & Lord, D.
(2013).
Goodness-of-fit testing for accident models with low means. Accident Analysis and Prevention.
61, 78-86.
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Ko, M., Lord, D., & Zietsman, J.
(2013).
Environmentally Conscious Highway Design for Vertical Grades. Transportation Research Record.
2341(2341), 53-65.
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Lord, D., & Kuo, P.
(2012).
Examining the effects of site selection criteria for evaluating the effectiveness of traffic safety countermeasures. 47, 52-63.
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Patil, S., Geedipally, S. R., & Lord, D.
(2012).
Analysis of crash severities using nested logit model--accounting for the underreporting of crashes. Accident Analysis and Prevention.
45, 646-653.
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Gomes, S. V., Geedipally, S. R., & Lord, D.
(2012).
Estimating the safety performance of urban intersections in Lisbon, Portugal. SAFETY SCIENCE.
50(9), 1732-1739.
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Ye, F., Garcia, T. P., Pourahmadi, M., & Lord, D.
(2012).
Extension of Negative Binomial GARCH Model Analyzing Effects of Gasoline Price and Miles Traveled on Fatal Crashes Involving Intoxicated Drivers in Texas. Transportation Research Record.
2279(2279), 31-39.
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Lord, D., & Guikema, S. D.
(2012).
The Conway-Maxwell-Poisson model for analyzing crash data. Applied Stochastic Models in Business and Industry.
28(2), 122-127.
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Francis, R. A., Geedipally, S. R., Guikema, S. D., Dhavala, S. S., Lord, D., & LaRocca, S.
(2012).
Characterizing the performance of the Conway-Maxwell Poisson generalized linear model. Risk Analysis.
32(1), 167-183.
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Ko, M., Lord, D., & Zietsman, J.
(2012).
Environmentally Conscious Highway Design for Crest Vertical Curves. Transportation Research Record.
2270(2270), 96-106.
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Stamatiadis, N., Lord, D., Pigman, J., Sacksteder, J., & Ruff, W.
(2011).
Safety Impacts of Design Element Trade-Offs for Multilane Rural Highways. Journal of Transportation Engineering.
137(5), 333-340.
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Li, X., Lord, D., & Zhang, Y.
(2011).
Development of Accident Modification Factors for Rural Frontage Road Segments in Texas Using Generalized Additive Models. Journal of Transportation Engineering.
137(1), 74-83.
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Peng, Y., & Lord, D.
(2011).
Application of Latent Class Growth Model to Longitudinal Analysis of Traffic Crashes. Transportation Research Record.
2236(2236), 102-109.
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Savolainen, P. T., Mannering, F. L., Lord, D., & Quddus, M. A.
(2011).
The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. Accident Analysis and Prevention.
43(5), 1666-1676.
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Ye, F., & Lord, D.
(2011).
Investigation of Effects of Underreporting Crash Data on Three Commonly Used Traffic Crash Severity Models. Transportation Research Record.
2241(1), 51-58.
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Ye, F., & Lord, D.
(2011).
Investigation of Effects of Underreporting Crash Data on Three Commonly Used Traffic Crash Severity Models Multinomial Logit, Ordered Probit, and Mixed Logit. Transportation Research Record.
51-58.
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Ye, Z., Veneziano, D., & Lord, D.
(2011).
Safety impact of Gateway Monuments. Accident Analysis and Prevention.
43(1), 290-300.
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Fitzpatrick, K., Lord, D., & Park, B.
(2010).
Horizontal Curve Accident Modification Factor with Consideration of Driveway Density on Rural Four-Lane Highways in Texas. Journal of Transportation Engineering.
136(9), 827-835.
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Park, B., Zhang, Y., & Lord, D.
(2010).
Bayesian mixture modeling approach to account for heterogeneity in speed data. Transportation Research Part B: Methodological: an international journal.
44(5), 662-673.
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Park, B., Lord, D., & Hart, J. D.
(2010).
Bias properties of Bayesian statistics in finite mixture of negative binomial regression models in crash data analysis. Accident Analysis and Prevention.
42(2), 741-749.
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Park, B., Fitzpatrick, K., & Lord, D.
(2010).
Evaluating the Effects of Freeway Design Elements on Safety. Transportation Research Record.
2195(2195), 58-69.
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Geedipally, S. R., Patil, S., & Lord, D.
(2010).
Examination of Methods to Estimate Crash Counts by Collision Type. Transportation Research Record.
2165(2165), 12-20.
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Park, P. Y., & Lord, D.
(2010).
Investigating Regression to the Mean in Before-and-After Speed Data Analysis. Transportation Research Record.
2165(2165), 52-58.
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Geedipally, S. R., & Lord, D.
(2010).
Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson-gamma models. Accident Analysis and Prevention.
42(4), 1273-1282.
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Lord, D., & Mannering, F.
(2010).
The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives. Transportation Research Part A: Policy and Practice.
44(5), 291-305.
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Ye, Z., & Lord, D.
(2009).
Estimating the variance in before-after studies. JOURNAL OF SAFETY RESEARCH.
40(4), 257-263.
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Park, B., & Lord, D.
(2009).
Application of finite mixture models for vehicle crash data analysis. 41(4), 683-691.
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Jonsson, T., Lyon, C., Ivan, J. N., Washington, S. P., van Schalkwyk, I., & Lord, D.
(2009).
Differences in the Performance of Safety Performance Functions Estimated for Total Crash Count and for Crash Count by Crash Type. Transportation Research Record.
2102(2102), 115-123.
-
Lord, D., & Mahlawat, M.
(2009).
Examining Application of Aggregated and Disaggregated Poisson-Gamma Models Subjected to Low Sample Mean Bias. Transportation Research Record.
2136(2136), 1-10.
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Miranda-Moreno, L. F., Fu, L., Ukkusuri, S., & Lord, D.
(2009).
How to Incorporate Accident Severity and Vehicle Occupancy into the Hot Spot Identification Process?. Transportation Research Record.
2102(2102), 53-60.
-
Washington, S. P., Lord, D., & Persaud, B. N.
(2009).
Use of Expert Panels in Highway Safety A Critique. Transportation Research Record.
2102(2102), 101-107.
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Lord, D., & Miranda-Moreno, L. F.
(2008).
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. SAFETY SCIENCE.
46(5), 751-770.
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Lord, D.
(2008).
Methodology for estimating the variance and confidence intervals for the estimate of the product of baseline models and AMFs. Accident Analysis and Prevention.
40(3), 1013-1017.
-
Fitzpatrick, K., Lord, D., & Park, B.
(2008).
Accident Modification Factors for Medians on Freeways and Multilane Rural Highways in Texas. Transportation Research Record.
2083(2083), 62-71.
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Park, B., & Lord, D.
(2008).
Adjustment for Maximum Likelihood Estimate of Negative Binomial Dispersion Parameter. Transportation Research Record.
2061(2061), 9-19.
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Zietsman, J., Bari, M. E., Rand, A. J., Gokhale, B., Lord, D., & Kumar, S.
(2008).
Feasibility of landfill gas as a liquefied natural gas fuel source for refuse trucks. Journal of the Air and Waste Management Association.
58(5), 613-619.
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Lord, D., & Park, P.
(2008).
Investigating the effects of the fixed and varying dispersion parameters of Poisson-gamma models on empirical Bayes estimates. Accident Analysis and Prevention.
40(4), 1441-1457.
-
Li, X., Lord, D., Zhang, Y., & Xie, Y.
(2008).
Predicting motor vehicle crashes using Support Vector Machine models. Accident Analysis and Prevention.
40(4), 1611-1618.
-
Lord, D., van Schalkwyk, I., Chrysler, S., & Staplin, L.
(2007).
A strategy to reduce older driver injuries at intersections using more accommodating roundabout design practices. Accident Analysis and Prevention.
39(3), 427-432.
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Lord, D., & Bonneson, J. A.
(2007).
Development of accident modification factors for rural frontage road segments in Texas. Transportation Research Record.
2023(2023), 20-27.
-
Zhang, Y., Ye, Z., & Lord, D.
(2007).
Estimating Dispersion Parameter of Negative Binomial Distribution for Analysis of Crash Data. Transportation Research Record.
2019(2019), 15-21.
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Xie, Y., Lord, D., & Zhang, Y.
(2007).
Predicting motor vehicle collisions using Bayesian neural network models: an empirical analysis. Accident Analysis and Prevention.
39(5), 922-933.
-
Lord, D., Washington, S., & Ivan, J. N.
(2007).
Further notes on the application of zero-inflated models in highway safety. Accident Analysis and Prevention.
39(1), 53-57.
-
Park, E. S., & Lord, D.
(2007).
Multivariate Poisson-lognormal models for jointly modelling crash frequency by severity. 2019(2019), 1-6.
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Stevens, C., & Lord, D.
(2006).
Evaluating safety effects of daylight savings time an fatal and nonfatal injury crashes in Texas. Transportation Research Record.
1953(1953), 147-155.
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Lord, D., Manar, A., & Vizioli, A.
(2006).
Modeling crash-flow-density and crash-flow-V/C ratio relationships for rural and urban freeway segments (vol 37, pg 185, 2005). Accident Analysis and Prevention.
38(2), 422-423.
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Lord, D., Manar, A., & Vizioli, A.
(2005).
Modeling crash-flow-density and crash-flow-V/C ratio relationships for rural and urban freeway segments. Accident Analysis and Prevention.
37(1), 185-199.
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Lord, D., Washington, S. P., & Ivan, J. N.
(2005).
Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory. Accident Analysis and Prevention.
37(1), 35-46.
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Lord, D., & Persaud, B. N.
(2004).
Estimating the safety performance of urban road transportation networks. 36(4), 609-620.
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Lord, D., Abdou, H. M., N'Zue, A., Dionne, G., & Laberge-Nadeau, C.
(2003).
Traffic safety diagnostics and application of countermeasures for rural roads in Burkina Faso. Transportation Research Record.
1846(1846), 39-43.
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Retting, R. A., Persaud, B. N., Garder, P. E., & Lord, D.
(2001).
Crash and injury reduction following installation of roundabouts in the United States. American Journal of Public Health.
91(4), 628-631.
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Lord, D., & Persaud, B. N.
(2000).
Accident Prediction Models With and Without Trend: Application of the Generalized Estimating Equations Procedure. Transportation Research Record.
1717(1), 102-108.
-
Hurdle, V. F., & Lord, D.
(1998).
Analysis of Two Left-Turn Equations from the Highway Capacity Manual. Transportation Research Record.
1646(1), 71-78.
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Lord, D.
(1996).
Analysis of Pedestrian Conflicts with Left-Turning Traffic. Transportation Research Record.
1538(1538), 61-67.
-
Shirazi, M., Reddy Geedipally, S., & Lord, D.
A Monte-Carlo simulation analysis for evaluating the severity distribution functions (SDFs) calibration methodology and determining the minimum sample-size requirements. Accident Analysis and Prevention.
98, 303-311.
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Geedipally, S. R., Lord, D., & Dhavala, S. S.
A caution about using deviance information criterion while modeling traffic crashes. SAFETY SCIENCE.
62, 495-498.
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Shirazi, M., Dhavala, S. S., Lord, D., & Geedipally, S. R.
A methodology to design heuristics for model selection based on the characteristics of data: Application to investigate when the Negative Binomial Lindley (NB-L) is preferred over the Negative Binomial (NB). Accident Analysis and Prevention.
107, 186-194.
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Shirazi, M., Geedipally, S. R., & Lord, D.
A procedure to determine when safety performance functions should be recalibrated. Journal of Transportation Safety and Security.
9(4), 457-469.
-
Shirazi, M., Lord, D., Dhavala, S. S., & Geedipally, S. R.
A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data. Accident Analysis and Prevention.
91, 10-18.
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Geedipally, S. R., Bonneson, J. A., Pratt, M. P., & Lord, D.
Analysis of Injury Severity in Crashes on Ramps and at Crossroad Ramp Terminals. Transportation Research Record.
2435(2435), 37-44.
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Geedipally, S. R., Lord, D., & Park, B.
Analyzing Different Parameterizations of the Varying Dispersion Parameter as a Function of Segment Length. Transportation Research Record.
2103(2103), 108-118.
-
Lord, D., Guikema, S. D., & Geedipally, S. R.
Application of the Conway-Maxwell-Poisson generalized linear model for analyzing motor vehicle crashes. Accident Analysis and Prevention.
40(3), 1123-1134.
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Khazraee, S. H., Sez-Castillo, A. J., Geedipally, S. R., & Lord, D.
Application of the Hyper-Poisson Generalized Linear Model for Analyzing Motor Vehicle Crashes. Risk Analysis.
35(5), 919-930.
-
Lord, D., Kuo, P., & Geedipally, S. R.
Comparison of Application of Product of Baseline Models and Accident-Modification Factors and Models with Covariates Predicted Mean Values and Variance. Transportation Research Record.
2147(2147), 113-122.
-
Wu, L., Lord, D., & Geedipally, S. R.
Developing Crash Modification Factors for Horizontal Curves on Rural Two-Lane Undivided Highways Using a Cross-Sectional Study. Transportation Research Record.
2636(2636), 53-61.
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Shaon, M., Qin, X., Shirazi, M., Lord, D., & Geedipally, S. R.
Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data. Analytic Methods in Accident Research.
18, 33-44.
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Peng, Y., Geedipally, S. R., & Lord, D.
Effect of Roadside Features on Single-Vehicle Roadway Departure Crashes on Rural Two-Lane Roads. Transportation Research Record.
2309(2309), 21-29.
-
Geedipally, S. R., & Lord, D.
Effects of Varying Dispersion Parameter of Poisson-Gamma Models on Estimation of Confidence Intervals of Crash Prediction Models. Transportation Research Record.
2061(2061), 46-54.
-
Geedipally, S. R., Pratt, M. P., & Lord, D.
Effects of geometry and pavement friction on horizontal curve crash frequency. Journal of Transportation Safety and Security.
11(2), 167-188.
-
Zou, Y., Geedipally, S. R., & Lord, D.
Evaluating the double Poisson generalized linear model. Accident Analysis and Prevention.
59, 497-505.
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Geedipally, S. R., Lord, D., & Reddy, G.
Evaluation of Texas Department of Transportation Safety Improvement Index as a Prioritization Tool. Transportation Research Record.
2241(2241), 39-50.
-
Geedipally, S. R., & Lord, D.
Examination of Crash Variances Estimated by Poisson-Gamma and Conway-Maxwell-Poisson Models. Transportation Research Record.
2241(2241), 59-67.
-
Geedipally, S. R., Shirazi, M., & Lord, D.
Exploring the Need for Region-Specific Calibration Factors. Transportation Research Record.
2636(2636), 73-79.
-
Vangala, P., Lord, D., & Geedipally, S. R.
Exploring the application of the Negative Binomial-Generalized Exponential model for analyzing traffic crash data with excess zeros. Analytic Methods in Accident Research.
7, 29-36.
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Lord, D., Geedipally, S. R., & Guikema, S. D.
Extension of the application of conway-maxwell-poisson models: analyzing traffic crash data exhibiting underdispersion. Risk Analysis.
30(8), 1268-1276.
-
Geedipally, S. R., & Lord, D.
Identifying Hot Spots by Modeling Single-Vehicle and Multivehicle Crashes Separately. Transportation Research Record.
2147(2147), 97-104.
-
Shirazi, M., Lord, D., & Geedipally, S. R.
Sample-size guidelines for recalibrating crash prediction models: Recommendations for the highway safety manual. Accident Analysis and Prevention.
93, 160-168.
-
Geedipally, S. R., Bonneson, J. A., Pratt, M. P., & Lord, D.
Severity Distribution Functions for Freeway Segments. Transportation Research Record.
2398(2398), 19-27.
-
Cheng, L., Geedipally, S. R., & Lord, D.
The Poisson-Weibull generalized linear model for analyzing motor vehicle crash data. SAFETY SCIENCE.
54, 38-42.
-
Lord, D., & Geedipally, S. R.
The negative binomial-Lindley distribution as a tool for analyzing crash data characterized by a large amount of zeros. Accident Analysis and Prevention.
43(5), 1738-1742.
-
Geedipally, S. R., Lord, D., & Dhavala, S. S.
The negative binomial-Lindley generalized linear model: characteristics and application using crash data. Accident Analysis and Prevention.
45, 258-265.
-
Tahir, H. B., Yasmin, S., Lord, D., & Haque, M. M.
(2023).
Examining the performance of engineering treatment evaluation methodologies using the hypothetical treatment and actual treatment settings. Accident Analysis and Prevention.
188, 107108-107108.
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chapter
-
Lord, D., & Washington, S.
(2018).
Conclusions and Future Directions. Transport and Sustainability.
Safe Mobility: Challenges, Methodology and Solutions.
(pp. 451-458).
Emerald.
-
Lord, D., & Geedipally, S. R.
(2018).
Safety Prediction with Datasets Characterised with Excess Zero Responses and Long Tails. Transport and Sustainability.
Safe Mobility: Challenges, Methodology and Solutions.
(pp. 297-323).
Emerald.
-
Lord, D., & Washington, S.
(2018).
Conclusions and Future Directions. Transport and Sustainability.
Safe Mobility: Challenges, Methodology and Solutions.
(pp. 451-458).
Emerald.
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conference paper
-
Sohrabi, S., Khreis, H., & Lord, D.
(2019).
BEAUTY OR THE BEAST? IMPACTS OF AUTONOMOUS VEHICLES ON PUBLIC HEALTH. Journal of Transport and Health.
S32-S33.
-
Park, B. J., Lee, C., Lord, D., & Kim, D. G.
(2014).
Finite mixture modeling approach for developing crash modification factors in highway safety analysis. 493-500.
-
Morgera, E., Buck, M., & Tsioumani, E.
(2013).
Introduction. Transport and Sustainability.
1-+.
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Gokhale, B., Zietsman, J., & Lord, D.
(2007).
Landfill gas as a liquefied natural gas fuel source for refuse trucks. 3431-3444.
-
Agrawal, R., & Lord, D.
(2006).
Effects of sample size on goodness-of-fit statistic and confidence intervals of crash prediction models subjected to low sample mean values. Transportation Research Record.
35-43.
-
Brewer, M. A., Fitzpatrick, K., Whitacre, J. A., & Lord, D.
(2006).
Exploration of pedestrian pap-acceptance behavior at selected locations. Transportation Research Record.
132-+.
-
Lord, D.
(2006).
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. Accident Analysis and Prevention.
751-766.
-
Lord, D., & Bonneson, J. A.
(2006).
Role and application of accident modification factors within highway design process. Transportation Research Record.
65-73.
-
Lord, D., & Bonneson, J. A.
(2005).
Calibration of predictive models for estimating safety of ramp design configurations. Transportation Research Record.
88-95.
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Lord, D., Middleton, D., & Whitacre, J.
(2005).
Does separating trucks from other traffic improve overall safety?. Transportation Research Record.
156-166.
-
Thouez, J. P., Lord, D., Bergeron, J., Bourbeau, R., Bussire, Y., Blanger-Bonneau, H., Rannou, A., & Latremouille, M. E.
(2003).
Physical and environmental characteristics of signalized intersections and pedestrian behavior. Advances in Transport.
143-148.
-
Persaud, B., McGee, H., Lyon, C., & Lord, D.
(2003).
Development of a procedure for estimating expected safety effects of a contemplated traffic signal installation. Transportation Research Record.
96-103.
-
Miaou, S. P., & Lord, D.
(2003).
Modeling traffic crash flow relationships for intersections - Dispersion parameter, functional form, and Bayes versus empirical Bayes methods. Transportation Research Record.
31-40.
-
Lord, D.
(2002).
Application of accident prediction models for computation of accident risk an transportation networks. Transportation Research Record.
17-26.
-
Persaud, B., Lord, D., & Palmisano, J.
(2002).
Calibration and transferability of accident prediction models for urban intersections. Transportation Research Record.
57-64.
-
Persaud, B. N., Retting, R. A., Garder, P. E., & Lord, D.
(2001).
Safety Effect of Roundabout Conversions in the United States: Empirical Bayes Observational Before-After Study. Transportation Research Record.
1-8.
-
Lord, D.
(2000).
Procedure to estimate missing year-to-year traffic counts at intersections. 339.
-
Miaou, S. P., Bligh, R. P., & Lord, D.
Developing guidelines for median barrier installation - Benefit-cost analysis with Texas data. Transportation Research Record.
3-19.
-
Sohrabi, S., Khreis, H., & Lord, D.
(2019).
BEAUTY OR THE BEAST? IMPACTS OF AUTONOMOUS VEHICLES ON PUBLIC HEALTH. Journal of Transport and Health.
S32-S33.
Teaching
teaching activities
- CVEN307 Transportation Eng Instructor
- CVEN456 Highway Design Instructor
- CVEN491 Hnr-research Instructor
- CVEN617 Traffic Engr-charac Instructor
- CVEN626 Highway Safety Instructor
- CVEN635 Street & Hwy Design Instructor
- CVEN681 Seminar Instructor
- CVEN685 Directed Studies Instructor
- CVEN691 Research Instructor
- CVEN766 Highway Design Instructor
Background
education and training
- Ph.D. in Transportation Engineering, University of Toronto - (Toronto, Ontario, Canada) 2000
awards and honors
Contact
first name
- Dominique
has last name
- Lord
mailing address
-
Texas A&M University
Civil Engineering
3136 TAMU
College Station, TX 77843-3136
USA
Other
In the News
- d-lord@tamu.edu