Modeling evacuation decisions in the 2019 Kincade fire in California ED Kuligowski, X Zhao, R Lovreglio, N Xu, K Yang, A Westbury, D Nilsson, ... Safety science 146, 105541, 2022 | 56 | 2022 |
Predicting and assessing wildfire evacuation decision-making using machine learning: Findings from the 2019 kincade fire N Xu, R Lovreglio, ED Kuligowski, TJ Cova, D Nilsson, X Zhao Fire Technology 59 (2), 793-825, 2023 | 18 | 2023 |
Are first responders prepared for electric vehicle fires? A national survey J Liu, N Xu, Y Shi, T Barnett, S Jones Accident Analysis & Prevention 179, 106903, 2023 | 15 | 2023 |
Post-pandemic shared mobility and active travel in Alabama: a machine learning analysis of COVID-19 survey data N Xu, Q Nie, J Liu, S Jones Travel behaviour and society 32, 100584, 2023 | 10 | 2023 |
Do first responders trust connected and automated vehicles (CAVs)? A national survey J Liu, N Xu, Y Shi, MDM Rahman, T Barnett, S Jones Transport policy 140, 85-99, 2023 | 8 | 2023 |
Modeling Evacuation Behavior in the 2019 Kincade Fire, Sonoma County, California X Zhao, N Xu, K Yang, E Kuligowski, R Lovreglio, D Nilsson, NA Brown | 6 | 2021 |
Injury severity of police officers involved in traffic crashes: A spatial analysis of Alabama N Xu, J Liu, Z Zhang, S Jones Safety science 172, 106406, 2024 | 1 | 2024 |
Exploring spatial heterogeneity in factors associated with injury severity in speeding-related crashes: An integrated machine learning and spatial modeling approach Z Zhang, N Xu, J Liu, S Jones Accident Analysis & Prevention 206, 107697, 2024 | | 2024 |
Linking short-and long-term impacts of the COVID-19 pandemic on travel behavior and travel preferences in Alabama: A machine learning-supported path analysis N Xu, Q Nie, J Liu, S Jones Transport policy 151, 46-62, 2024 | | 2024 |