| Evaluation of e-scooters as transit last-mile solution N Zuniga-Garcia, M Tec, JG Scott, RB Machemehl Transportation research part C: emerging technologies 139, 103660, 2022 | 104 | 2022 |
| First-mile-last-mile collector-distributor system using shared autonomous mobility KM Gurumurthy, N Zuniga-Garcia Transportation Research Record 2674 (10), 638-647, 2020 | 86 | 2020 |
| High-definition field texture measurements for predicting pavement friction N Zuniga-Garcia, JA Prozzi Transportation Research Record 2673 (1), 246-260, 2019 | 74 | 2019 |
| E-scooters in urban infrastructure: understanding sidewalk, bike lane, and roadway usage from trajectory data N Zuniga-Garcia, NR Juri, KA Perrine, RB Machemehl Case Studies on Transport Policy, 2021 | 71 | 2021 |
| Field investigation of relationship between pavement surface texture and friction S Kouchaki, H Roshani, JA Prozzi, N Zuniga-Garcia, JB Hernandez Transportation Research Record 2672 (40), 395-407, 2018 | 62 | 2018 |
| Integrating shared mobility services with public transit in areas of low demand N Zuniga-Garcia, KM Gurumurthy, CN Yahia, KM Kockelman, ... Journal of Public Transportation 24, 100032, 2022 | 47 | 2022 |
| Dockless electric scooters and transit use in an urban/university environment N Zuniga-Garcia, RB Machemehl Transportation Research Board 99th Annual Meeting, Washington DC, January 2020., 2020 | 40 | 2020 |
| Shared e-scooter trajectory analysis during the COVID-19 pandemic in Austin, Texas MD Dean, N Zuniga-Garcia Transportation Research Record 2677 (4), 432-447, 2023 | 38 | 2023 |
| Multimodal level of service methodologies: evaluation of the multimodal performance of arterial corridors N Zuniga-Garcia, HW Ross, RB Machemehl Transportation Research Record 2672 (15), 142-154, 2018 | 38 | 2018 |
| Evaluation of ride-sourcing search frictions and driver productivity: a spatial denoising approach N Zuniga-Garcia, M Tec, JG Scott, N Ruiz-Juri, RB Machemehl Transportation Research Part C: Emerging Technologies 110 (2020), 346-367, 2020 | 35 | 2020 |
| Predicting friction with improved texture characterization N Zuniga-Garcia, A de Fortier Smit, JA Prozzi Transportation Research Board 97th Annual Meeting, Washington DC, January 2018., 2018 | 19* | 2018 |
| Contribution of micro and macro-texture for predicting friction on pavement surfaces N Zuniga-Garcia, JA Prozzi University of Texas at Austin, Center for Transportation Research (CTR), 2016 | 16 | 2016 |
| Economic analysis of pavement preservation techniques N Zuniga-Garcia, W Martinez-Alonso, A de Fortier Smit, F Hong, JA Prozzi Transportation Research Record 2672 (12), 10-19, 2018 | 15 | 2018 |
| Predicting pedestrian crash occurrence and injury severity in texas using tree-based machine learning models B Zhao, N Zuniga-Garcia, L Xing, K Kockelman Transportation Planning and Technology, 2023 | 13 | 2023 |
| Predicting pedestrian crashes in Texas’ intersections and midblock segments N Zuniga-Garcia, KA Perrine, KM Kockelman Sustainability 14 (12), 7164, 2022 | 11 | 2022 |
| Selection and design of quiet pavement surfaces A Smit, M Trevino, N Zuniga-Garcia, P Buddhavarapu, J Prozzi University of Texas at Austin, Center for Transportation Research (CTR), 2016 | 11 | 2016 |
| A freight asset choice model for agent-based simulation models N Zuniga-Garcia, A Ismael, M Stinson Procedia Computer Science 220, 704-709, 2023 | 9 | 2023 |
| Propuesta de una metodología para la evaluación del desempeño de tratamientos superficiales en laboratorio N Zuniga-Garcia Proyecto de graduación para optar por el grado de Licenciatura en Ingeniería …, 2012 | 8 | 2012 |
| Predicting crash occurrence at intersections in Texas: an opportunity for machine learning T Charm, H Wang, N Zuniga-Garcia, M Ahmed, KM Kockelman Transportation Planning and Technology 47 (8), 1184-1204, 2024 | 7 | 2024 |
| Equity analysis of freight transportation using a large-scale agent-based modeling framework O Sahin, N Zuniga-Garcia, M Stinson Procedia Computer Science 220, 692-697, 2023 | 7 | 2023 |
Jorge A ProzziThe University of Texas at AustinVerified email at mail.utexas.edu
