By Professor Taha Hossein Rashidi

Preprints

Shahriari S; Hossein Rashidi T; Azad AKM; Vafaee F, 2021, COVIDSpread: real-time prediction of COVID-19 spread based on time-series modelling, http://dx.doi.org/10.12688/f1000research.73969.1

Najmi A; Safarighouzhdi F; Miller EJ; MacIntyre R; Rashidi TH, 2020, Determination of COVID-19 parameters for an agent-based model: Easing or tightening control strategies, http://dx.doi.org/10.1101/2020.06.20.20135186

Zandavi SM; Rashidi TH; Vafaee F, 2020, Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models, http://dx.doi.org/10.48550/arxiv.2005.12270

Rashidi TH; Shahriari S; Azad AKM; Vafaee F, 2020, Real-time time-series modelling for prediction of COVID-19 spread and intervention assessment, http://dx.doi.org/10.1101/2020.04.24.20078923

Najmi A; Rashidi TH; Liu W, 2020, Ridesharing in the era of Mobility as a Service (MaaS): An Activity-based Approach with Multimodality and Intermodality, http://dx.doi.org/10.48550/arxiv.2002.11712

Najmi A; Rey D; Rashidi TH; Waller ST, 2019, Integrating Travel Demand and Network Modelling: a Myth or Future of Transport Modelling, http://dx.doi.org/10.48550/arxiv.1907.09651

Krueger R; Rashidi TH; Vij A, 2019, Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services, http://dx.doi.org/10.48550/arxiv.1907.09639

Ghasri M; Ardeshiri A; Rashidi T, 2019, Perceived Advantage in Perspective Application of Integrated Choice and Latent Variable Model to Capture Electric Vehicles Perceived Advantage from Consumers Perspective, http://arxiv.org/abs/1905.11606v2

Krueger R; Rashidi TH; Dixit VV, 2019, Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey, http://dx.doi.org/10.48550/arxiv.1905.11486

Krueger R; Bansal P; Bierlaire M; Daziano RA; Rashidi TH, 2019, Variational Bayesian Inference for Mixed Logit Models with Unobserved Inter- and Intra-Individual Heterogeneity, http://dx.doi.org/10.48550/arxiv.1905.00419

Bansal P; Krueger R; Bierlaire M; Daziano RA; Rashidi TH, 2019, Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models, http://dx.doi.org/10.48550/arxiv.1904.07688

Bansal P; Krueger R; Bierlaire M; Daziano RA; Rashidi TH, 2019, Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations, http://dx.doi.org/10.48550/arxiv.1904.03647

Krueger R; Rashidi TH; Vij A, 2018, X vs. Y: An Analysis of Intergenerational Differences in Transport Mode Use Among Young Adults, http://dx.doi.org/10.31235/osf.io/unezy

Krueger R; Vij A; Rashidi TH, 2018, A Dirichlet Process Mixture Model of Discrete Choice, http://dx.doi.org/10.48550/arxiv.1801.06296

Najmi A; Waller TS; Rashidi T, Equity in Network Design and Pricing: A Discretely-Constrained Mpec Problem, http://dx.doi.org/10.2139/ssrn.4117486

Krueger R; Vij A, Normative Beliefs and Modality Styles: A Latent Class and Latent Variable Model of Travel Behaviour, http://dx.doi.org/10.2139/ssrn.2790047

Najmi A; Nair D; Waller TS; Rashidi T, Psychological and Societal Factors of Decision Making in a Transport Context, http://dx.doi.org/10.2139/ssrn.4049761

Krueger R; Rashidi T, What Makes You Cycle this Far? An Analysis of Mandatory Bicycle Tour Distances, http://dx.doi.org/10.2139/ssrn.2982399

Krueger R; Rashidi T; Vij A, X vs. Y: An Analysis of Inter-Generational Differences in Transport Mode Use Among Young Adults, http://dx.doi.org/10.2139/ssrn.3224326

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