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Natalia  Zuniga-Garcia
Natalia Zuniga-Garcia
Transportation & Mobility Researcher | Statistician & Data Scientist | Argonne National Laboratory
Подтвержден адрес электронной почты в домене anl.gov - Главная страница
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Процитировано
Процитировано
Год
First-mile-last-mile collector-distributor system using shared autonomous mobility
KM Gurumurthy, N Zuniga-Garcia
Transportation Research Record 2674 (10), 638-647, 2020
542020
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
532022
High-definition field texture measurements for predicting pavement friction
N Zuniga-Garcia, JA Prozzi
Transportation Research Record 2673 (1), 246-260, 2019
472019
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
422018
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
402021
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
362020
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
322018
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
302020
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
262023
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
152018
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
132022
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
132018
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
102016
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
102016
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
82012
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
62023
Predicting Pedestrian Crashes in Texas’ Intersections and Midblock Segments
N Zuniga-Garcia, KA Perrine, KM Kockelman
Sustainability 14 (12), 7164, 2022
62022
How likely are ride-share drivers to earn a living wage? Large-scale spatio-temporal density smoothing with the graph-fused elastic net
M Tec, N Zuniga-Garcia, RB Machemehl, JG Scott
arXiv preprint arXiv:1911.08106, 2019
62019
Large-scale spatiotemporal density smoothing with the graph-fused elastic net: Application to ride-sourcing driver productivity analysis
M Tec, N Zuniga-Garcia, RB Machemehl, JG Scott
arXiv preprint arXiv:1911.08106, 2019
42019
Spatial pricing empirical evaluation of ride-sourcing trips using the graph-fused lasso for total variation denoising
N Zuniga Garcia
University of Texas at Austin, M.Sc. in Statistics Thesis., 2019
42019
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Статьи 1–20