Professeur agrégé
Cornell University, School of Civil and Environmental Engineering, 305 Hollister Hall, Ithaca, NY 14853
Publications récentes dans des revues arbitrées
Dong, X., Guerra, E., Daziano, R. A., Chatterjee, P., & Kovalova, N. (2022). Investigating the preferences between shared and non-shared ride-hailing services across user groups. Case Studies on Transport Policy, 10(4), 2290-2299.
Daziano, R. A. (2022). A choice experiment assessment of stated early response to COVID-19 vaccines in the USA. Health Economics Review, 12(1), 1-16.
Waygood, E. O. D., Wang, B., Daziano, R. A., Patterson, Z., & Braun Kohlová, M. (2022). The climate change stage of change measure: Vehicle choice experiment. Journal of Environmental Planning and Management, 65(7), 1210-1239.
Daziano, R. A. (2022). Willingness to delay charging of electric vehicles. Research in Transportation Economics, 101177.
Bansal, P., Keshavarzzadeh, V., Guevara, A., Li, S., & Daziano, R. A. (2022). Designed quadrature to approximate integrals in maximum simulated likelihood estimation. The Econometrics Journal, 25(2), 301-321.
Yoon, S. Y., & Daziano, R. A. (2022). Social distancing and store choice in times of a pandemic. Journal of Retailing and Consumer Services, 65(C).
Rossetti, T., & Daziano, R. (2022). How does self-assessed health status relate to preferences for cycling infrastructure? A latent class and latent variable approach. Transportation, 1-16.
Yoon, S. Y., & Daziano, R. A. (2022). Social distancing and store choice in times of a pandemic. Journal of Retailing and Consumer Services, 65(C).
Naseri, H., Waygood, E. O. D., Wang, B., Patterson, Z., & Daziano, R. A. (2021). A novel feature selection technique to better predict climate change stage of change. Sustainability, 14(1), 40.
Daziano, R. A., Yoon, S. Y., & Wang, C. (2021). Improving immersive, highly realistic in-lab, cycling experiences for analyzing active travel (No. 69A3551747119). Cornell University. Center for Transportation, Environment, and Community Health.(CTECH).
RomeroâEspinosa, D., Sarrias, M., & Daziano, R. (2021). Are preferences for city attributes heterogeneous? An assessment using a discrete choice experiment. Papers in Regional Science, 100(1), 251-272.
Dong, X., Guerra, E., & Daziano, R. A. (2021). Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia. Transportation, 1-21.
Naseri, H., Waygood, E. O. D., Wang, B., Patterson, Z., & Daziano, R. A. (2021). A novel feature selection technique to better predict climate change stage of change. Sustainability, 14(1), 40.
Wang, B., Waygood, E. O. D., Daziano, R. A., Patterson, Z., & Feinberg, M. (2021). Does hedonic framing improve peopleâs willingness-to-pay for vehicle greenhouse gas emissions?. Transportation Research Part D: Transport and Environment, 98, 102973.
Daziano, R., Waygood, E. O. D., Patterson, Z., Feinberg, M., & Wang, B. (2021). Reframing greenhouse gas emissions information presentation on the Environmental Protection Agencyâs new-vehicle labels to increase willingness to pay. Journal of Cleaner Production, 279, 123669.
Etzioni, S., Daziano, R. A., Ben-Elia, E., & Shiftan, Y. (2021). Preferences for shared automated vehicles: A hybrid latent class modeling approach. Transportation Research Part C: Emerging Technologies, 125, 103013.
Krueger, R., Bierlaire, M., Daziano, R. A., Rashidi, T. H., & Bansal, P. (2021). Evaluating the predictive abilities of mixed logit models with unobserved inter-and intra-individual heterogeneity. Journal of choice modelling, 41, 100323.
Daziano, R. A., Yoon, S. Y., & Wang, C. (2021). Improving immersive, highly realistic in-lab, cycling experiences for analyzing active travel (No. 69A3551747119). Cornell University. Center for Transportation, Environment, and Community Health.(CTECH).
Etzioni, S., Daziano, R. A., Ben-Elia, E., & Shiftan, Y. (2021). Preferences for shared automated vehicles: A hybrid latent class modeling approach. Transportation Research Part C: Emerging Technologies, 125, 103013.
Bansal, P., Krueger, R., Bierlaire, M., Daziano, R. A., & Rashidi, T. H. (2020). Bayesian estimation of mixed multinomial logit models: Advances and simulation-based evaluations. Transportation Research Part B: Methodological, 131, 124-142.
Bansal, P., Liu, Y., Daziano, R., & Samaranayake, S. (2020). Impact of discerning reliability preferences of riders on the demand for mobility-on-demand services. Transportation Letters, 12(10), 677-681.
Daziano, R. A. (2020). Flexible customer willingness to pay for bundled smart home energy products and services. Resource and Energy Economics, 61, 101175.
Dubey, S., Bansal, P., Daziano, R. A., & Guerra, E. (2020). A generalized continuous-multinomial response model with a t-distributed error kernel. Transportation Research Part B: Methodological, 133, 114-141.
Bansal, P., Sinha, A., Dua, R., & Daziano, R. A. (2020). Eliciting preferences of TNC users and drivers: evidence from the United States. Travel Behaviour and Society, 20, 225-236.
Guerra, E., & Daziano, R. A. (2020). Electric vehicles and residential parking in an urban environment: Results from a stated preference experiment. Transportation Research Part D: Transport and Environment, 79, 102222.
Bansal, P., Hurtubia, R., Tirachini, A., & Daziano, R. A. (2019). Flexible estimates of heterogeneity in crowding valuation in the New York City subway. Journal of choice modelling, 31, 124-140.
Bansal, P., Sinha, A., Dua, R., & Daziano, R. (2019). Eliciting Preferences of Ridehailing Users and Drivers: Evidence from the United States. arXiv preprint arXiv:1904.06695.
Bansal, P., Liu, Y., Daziano, R., & Samaranayake, S. (2019). Can Mobility-on-Demand services do better after discerning reliability preferences of riders?. arXiv preprint arXiv:1904.07987.
Bansal, P., Daziano, R. A., & Sunder, N. (2019). Arriving at a decision: A semi-parametric approach to institutional birth choice in India. Journal of choice modelling, 31, 86-103.
Wang, Z., Xue, M., Wang, Y., Song, M., Li, S., Daziano, R. A., ... & Zhang, B. (2019). Big data: New tend to sustainable consumption research. Journal of Cleaner Production, 236, 117499.
Liu, Y., Bansal, P., Daziano, R., & Samaranayake, S. (2019). A framework to integrate mode choice in the design of mobility-on-demand systems. Transportation Research Part C: Emerging Technologies, 105, 648-665.
Bansal, P., & Daziano, R. A. (2018). Influence of choice experiment designs on eliciting preferences for autonomous vehicles. Transportation Research Procedia, 32, 474-481.
Bansal, P., Daziano, R. A., & Achtnicht, M. (2018). Extending the logit-mixed logit model for a combination of random and fixed parameters. Journal of choice modelling, 27, 88-96.
Sarrias, M., & Daziano, R. A. (2018). Individual-specific point and interval conditional estimates of latent class logit parameters. Journal of choice modelling, 27, 50-61.
Bansal, P., Daziano, R. A., & Achtnicht, M. (2018). Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models. Journal of choice modelling, 27, 97-113.
Wang, C., Sun, J., Russell Jr, R., & Daziano, R. A. (2018). Analyzing willingness to improve the resilience of New York City's transportation system. Transport Policy, 69, 10-19.
Bansal, P., Daziano, R. A., & Guerra, E. (2018). Minorization-Maximization (MM) algorithms for semiparametric logit models: Bottlenecks, extensions, and comparisons. Transportation Research Part B: Methodological, 115, 17-40.
Daziano, R. A., & Farooq, B. (2018). Workshop Synthesis: New directions in experimental design. Transportation Research Procedia, 32, 448-453.
Intérêts de recherche
Économétrie appliquée ; Économie des transports ; Économie de l'environnement.
