Journal Publications<\/strong><\/h2>\n* Underlined names show advised\/co-advised students.<\/p>\n
\n <\/p>\n
1. Gil-Marin<\/u>, J.K., Shirazi<\/b>., M. & Ivan, J. (2024). Assessing the Negative Binomial-Lindley Model for Crash Hotspot Identification: Insights from Monte Carlo Simulation Analysis. Accident Analysis & Prevention<\/i> (accepted for publication.<\/i>)<\/p>\n
2. Vergara<\/u>, E., Aviles-Ordonez<\/u>, J., Xie, Y., & Shirazi<\/b>, M. (2024). Understanding Speeding Behavior on Interstate Horizontal Curves and Ramps Using Networkwide Probe Data, Journal of Safety Research (accepted for publication.)<\/i><\/p>\n
3. Marshall<\/u>, E., Shirazi<\/b>, M., Shahlaee, A., & Ivan, J. N. (2023). Leveraging probe data to model speeding on urban limited access highway segments: Examining the impact of operational performance, roadway characteristics, and COVID-19 pandemic. Accident Analysis & Prevention<\/i>, 187, 107038.<\/p>\n
4. Marshall<\/u>, E., Shirazi<\/b>, M., & Ivan, J.N. (2023). COVID-19 and Transport Safety. Transport Review, <\/i>Pages 518-543.<\/p>\n
5. Islam<\/u>, A. M., Shirazi<\/b>, M., & Lord, D. (2023). Grouped Random Parameters Negative Binomial-Lindley for accounting unobserved heterogeneity in crash data with preponderant zero observations. Analytic Methods in Accident Research<\/i>, 37, 100255.<\/p>\n
6. Khodadadi<\/u>*, A., Shirazi<\/b>, M., Geedipally, S., & Lord, D. (2023). Evaluating alternative variations of Negative Binomial\u2013Lindley distribution for modelling crash data. Transportmetrica A: transport science<\/i>, 19(3), 2062480.<\/p>\n
7. Sawtelle<\/u>, A., Shirazi<\/b>, M., Garder, P. E., & Rubin, J. (2023). Driver, roadway, and weather factors on severity of lane departure crashes in Maine. Journal of safety research<\/i>, 84, 306-315.<\/p>\n
8. Shahlaee<\/u>, A., Shirazi<\/b>, M., Marshall<\/u>, E., & Ivan, J. N. (2022). Modeling the impact of the COVID-19 pandemic on speeding at rural roadway facilities in Maine using short-term speed and traffic count data. Accident Analysis & Prevention<\/i>, 177, 106828.<\/p>\n
9. Islam<\/u>, A. M., Shirazi<\/b>, M., & Lord, D. (2022). Finite mixture Negative Binomial-Lindley for modeling heterogeneous crash data with many zero observations. Accident Analysis & Prevention<\/i>, 175, 106765.<\/p>\n
10. Khodadadi<\/u>*<\/b>, A., Tsapakis, I., Shirazi<\/b>, M, Das, S., & Lord, D. (2022). Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model: Application in various safety analyses, Accident Analysis & Prevention<\/i>, 170, 106638<\/p>\n
11. Sawtelle<\/u>, A., Shirazi<\/b>, M., Garder, P. E., & Rubin, J. (2022). Exploring the impact of seasonal weather factors on frequency of lane-departure crashes in Maine. Journal of Transportation Safety & Security<\/i>, 15(5), 445-466.<\/p>\n
12. Shirazi, <\/b>M., & Geedipally, S. R. (2022). A simulation analysis to explore when using a calibration function is preferred over a scalar factor for calibrating safety performance functions. Journal of Transportation Safety & Security<\/i>, 15(4), 335-349.<\/p>\n
13. Shirazi<\/b>, M., Geedipally, S.R., & Lord, D. (2021). A Simulation Analysis to Study the Temporal and Spatial Aggregations of Safety Datasets with Excess Zero Observations. Transportmetrica A: Transport Science<\/i>, 17(4), 1305-1317.<\/p>\n
14. Wu, L., Dadashova, B., Geedipally, S., Pratt, M. P., & Shirazi<\/b>, M. (2021). Using naturalistic driving study data to explore the association between horizontal curve safety and operation on rural two-lane highways. Journal of Transportation Safety & Security<\/i>, 13(8), 896-913.<\/p>\n
15. Geedipally, S. R., Pratt, M. P., Dadashova, B., Wu, L., & Shirazi<\/b>, M. (2020). Examining the Feasibility of Using Naturalistic Driving Study Data for Validating Speed Prediction Models. Transportation Research Procedia<\/i>, 48, 1084-1094.<\/p>\n
16. Shirazi<\/b>, M., & Lord, D. (2019). Characteristics-based heuristics to select a logical distribution between the Poisson-gamma and the Poisson-lognormal for crash data modelling. Transportmetrica A: Transport Science<\/i>, 15(2), 1791-1803.<\/p>\n
17. Pratt, M., Geedipally, S.R., Dadashova, B., Wu, L., & Shirazi<\/b>, M. (2019). Familiar versus unfamiliar drivers on curves: naturalistic data study. Transportation Research Record, 2673(6), 225-235.<\/i><\/p>\n
18. Shaon, M.R.R., Qin, X., Shirazi<\/b>, M., Lord, D., & Geedipally, S.R. (2018). Developing a random parameters Negative Binomial-Lindley model to analyze highly over-dispersed crash count data. Analytic Methods in Accident Research, 18<\/i>, 33-44.<\/p>\n
19. Shirazi, <\/b>M., Dhavala, S.S., Lord, D., & Geedipally, S. R. (2017). A methodology to design heuristics for model selection based on characteristics of data: Application to investigate when the Negative Binomial Lindley (NB-L) is preferred over the Negative Binomial (NB). Accident Analysis and Prevention, <\/i>107, pp.186-194.<\/p>\n
20. Shirazi<\/b>, M., Geedipally, S.R., & Lord D. (2017). 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<\/i>, 98, pp.303\u2013311.<\/p>\n
21. Shirazi<\/b>, M., Aashtiani, H.Z., & Quadrifoglio, L. (2017). Estimating the minimal revenue tolls in large-scale roadway networks using the dynamic penalty function method. Computers and Industrial Engineering<\/i>, 107, pp. 120-127.<\/b><\/p>\n
22. Geedipally, S.R., Shirazi<\/b>, M., & Lord, D. (2017). Exploring the need for region-specific calibration factors, Transportation Research Record,<\/i> 2636, pp. 73\u201379.<\/p>\n
23. Shirazi<\/b>, M., Geedipally, S.R., & Lord, D. (2017). A procedure to determine when safety performance functions should be recalibrated. Journal of Transportation Safety and Security<\/i>, 9(4), pp.457-469.<\/p>\n
24. Shirazi<\/b>, M., Lord, D., & Geedipally, S.R. (2016). Sample-size guidelines for recalibrating crash prediction models: Recommendations for the highway safety manual. Accident Analysis and Prevention<\/i>, 93, pp. 160-168.<\/p>\n
25. Shirazi<\/b>, M., Lord, D., Dhavala, S.S., & Geedipally, S.R. (2016). 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<\/i>, 91, pp. 10-18.<\/p>\n
26. Khodakarami, M., Zhang, Y., Wang, B.X., Shirazi<\/b>, M., & Dastgiri, M.S. (2016). Using a prospect theory approach to studying the car-following model. Advances in Human Aspects of Transportation<\/i>. pp. 287-300.<\/p>\n
27. Shirazi<\/b>, M, & Aashtiani, H.Z. (2015). Solving the minimum toll revenue problem in real transportation networks. Optimization Letters<\/i>, 9(6), pp.1187-1197.<\/p>\n
\n
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