| Quantifying human mobility behaviour changes during the COVID-19 outbreak in the United States Y Pan, A Darzi, A Kabiri, G Zhao, W Luo, C Xiong, L Zhang Scientific Reports 10 (1), 20742, 2020 | 124* | 2020 |
| Observed mobility behavior data reveal social distancing inertia S Ghader, J Zhao, M Lee, W Zhou, G Zhao, L Zhang arXiv preprint arXiv:2004.14748, 2020 | 36 | 2020 |
| Trajectory planning for connected and automated vehicles: Cruising, lane changing, and platooning X Liu, G Zhao, N Masoud, Q Zhu SAE International Journal of Connected and Automated Vehicles 4 (4), 315-333, 2020 | 34 | 2020 |
| University of Maryland COVID-19 impact analysis platform Maryland Transportation Institute University of Maryland, College Park, USA [Internet], 2020 | 20 | 2020 |
| Data analytics and modeling methods for tracking and predicting origin-destination travel trends based on mobile device data L Zhang, S Ghader, A Darzi, Y Pan, M Yang, Q Sun, A Kabiri, G Zhao Federal Highway Administration Exploratory Advanced Research Program, 2020 | 18 | 2020 |
| Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach S Hu, W Luo, A Darzi, Y Pan, G Zhao, Y Liu, C Xiong PloS one 16 (11), e0259803, 2021 | 12 | 2021 |
| Big-data driven framework to estimate vehicle volume based on mobile device location data M Yang, W Luo, M Ashoori, J Mahmoudi, C Xiong, J Lu, G Zhao, ... Transportation research record 2678 (2), 352-365, 2024 | 9 | 2024 |
| Residency and worker status identification based on mobile device location data Y Pan, Q Sun, M Yang, A Darzi, G Zhao, A Kabiri, C Xiong, L Zhang Transportation Research Part C: Emerging Technologies 146, 103956, 2023 | 7 | 2023 |
| Next generation National Household Travel Survey National Origin Destination Data Passenger Origin‐Destination Data Methodology Documentation L Zhang, A Darzi, Y Pan, M Yang, Q Sun, A Kabiri, G Zhao, C Xiong Federal Highway Administration.[Google Scholar], 2021 | 7 | 2021 |
| Elaborated Framework for Duplicate Device Detection from Multisourced Mobile Device Location Data A Kabiri, A Darzi, Y Pan, S Saleh Namadi, G Zhao, Q Sun, M Yang, ... Transportation Research Record 2678 (6), 881-890, 2024 | 2 | 2024 |
| National-Level Multimodal Origin–Destination Estimation Based on Passively Collected Location Data and Machine Learning Methods Y Pan, A Darzi, M Yang, Q Sun, A Kabiri, G Zhao, C Xiong, L Zhang Transportation Research Record 2678 (5), 525-541, 2024 | 1 | 2024 |
| How Mobility and Accessibility Affect Crime Rates: Insights from Mobile Device Location Data L Zhang, M Yang, G Zhao, A Darzi, S Ghader, E Center Urban Mobility & Equity Center, 2020 | 1 | 2020 |
| Data Fusion for Travel Analysis: Linking Travel Survey and Mobile Device Location Data G Zhao, MB Al-Khasawneh, T Tuoto, C Cirillo | | 2024 |
| Measuring Mobility in the 21st Century What Can We Learn from Mobile Device Location Data? G Zhao, A Alberini, C Cirillo Available at SSRN 4673352, 2024 | | 2024 |
| A Big Data Driven Framework for Duplicate Device Detection from Multi-sourced Mobile Device Location Data A Kabiri, A Darzi, SS Namadi, Y Pan, G Zhao, Q Sun, M Yang, M Ashoori arXiv preprint arXiv:2302.14742, 2023 | | 2023 |
| A Novel Measurement of Job Accessibility Based on Mobile Device Location Data G Zhao University of Maryland, College Park, 2022 | | 2022 |
| Equity in Accessibility to Opportunities: Insights, Measures, and Solutions based on Mobile Device Location Data L Zhang, HS Shin, S Ghader, A Darzi, G Zhao, A Kabiri | | 2021 |
Aref DarziUniversity of Maryland在 umd.edu 的电子邮件经过验证
