Jason D. Lemp, Ph.D.

Affiliations: 
2009 Civil Engineering University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Civil Engineering, Statistics
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"Jason Lemp"

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Kara M. Kockelman grad student 2009 UT Austin
 (Capturing random utility maximization behavior in continuous choice data: Application to work tour scheduling.)
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Publications

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Lemp JD, Kockelman KM, Damien P. (2012) A bivariate multinomial probit model for trip scheduling: Bayesian analysis of the work tour Transportation Science. 46: 405-424
Lemp JD, Kockelman KM. (2012) Strategic sampling for large choice sets in estimation and application Transportation Research Part a: Policy and Practice. 46: 602-613
Wang XC, Kockelman KM, Lemp JD. (2012) The dynamic spatial multinomial probit model: Analysis of land use change using parcel-level data Journal of Transport Geography. 24: 77-88
Lemp JD, Kockelman KM, Unnikrishnan A. (2011) Analysis of large truck crash severity using heteroskedastic ordered probit models. Accident; Analysis and Prevention. 43: 370-80
Kockelman KM, Lemp JD. (2011) Anticipating new-highway impacts: Opportunities for welfare analysis and credit-based congestion pricing Transportation Research Part a: Policy and Practice. 45: 825-838
Lemp JD, Kockelman KM. (2010) Empirical investigation of continuous logit for departure time choice with bayesian methods Transportation Research Record. 59-68
Lemp JD, Kockelman KM, Damien P. (2010) The continuous cross-nested logit model: Formulation and application for departure time choice Transportation Research Part B: Methodological. 44: 646-661
Chipman H, George E, Lemp J, et al. (2010) Bayesian flexible modeling of trip durations Transportation Research Part B: Methodological. 44: 686-698
Zhou B, Kockelman KM, Lemp JD. (2009) Applications of integrated transport and gravity-based land use models for policy analysis Transportation Research Record. 123-132
Lemp JD, Kockelman KM. (2009) Anticipating welfare impacts via travel demand forecasting models: Comparison of aggregate and activity-based approaches for the Austin, Texas, region Transportation Research Record. 11-22
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