| An integrated physical-social analysis of disrupted access to critical facilities and community service-loss tolerance in urban flooding S Dong, A Esmalian, H Farahmand, A Mostafavi Computers, Environment and Urban Systems 80, 101443, 2020 | 151 | 2020 |
| A novel work zone short-term vehicle-type specific traffic speed prediction model through the hybrid EMD–ARIMA framework H Wang, L Liu, S Dong, Z Qian, H Wei Transportmetrica B: Transport Dynamics 4 (3), 159-186, 2016 | 120 | 2016 |
| Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning Z Li, H Yu, G Zhang, S Dong, CZ Xu Transportation Research Part C: Emerging Technologies 125, 103059, 2021 | 119 | 2021 |
| Agent-based tsunami evacuation modeling of unplanned network disruptions for evidence-driven resource allocation and retrofitting strategies A Mostafizi, H Wang, D Cox, LA Cramer, S Dong Natural Hazards 88, 1347-1372, 2017 | 108 | 2017 |
| An agent-based vertical evacuation model for a near-field tsunami: Choice behavior, logical shelter locations, and life safety A Mostafizi, H Wang, D Cox, S Dong International journal of disaster risk reduction 34, 467-479, 2019 | 104 | 2019 |
| Probabilistic modeling of cascading failure risk in interdependent channel and road networks in urban flooding S Dong, T Yu, H Farahmand, A Mostafavi Sustainable Cities and Society 62, 102398, 2020 | 72 | 2020 |
| Measuring the topological robustness of transportation networks to disaster-induced failures: A percolation approach S Dong, A Mostafizi, H Wang, J Gao, X Li Journal of Infrastructure Systems 26 (2), 04020009, 2020 | 71 | 2020 |
| A network-of-networks percolation analysis of cascading failures in spatially co-located road-sewer infrastructure networks S Dong, H Wang, A Mostafizi, X Song Physica A: Statistical Mechanics and its Applications 538, 122971, 2020 | 68 | 2020 |
| Robust component: a robustness measure that incorporates access to critical facilities under disruptions S Dong, W Haizhong, M Ali, G Jianxi Journal of Royal Society Interface 16 (157), 2019 | 60 | 2019 |
| Determinants of risk disparity due to infrastructure service losses in disasters: a household service gap model A Esmalian, S Dong, N Coleman, A Mostafavi Risk analysis, 2021 | 53 | 2021 |
| Bayesian modeling of flood control networks for failure cascade characterization and vulnerability assessment S Dong, T Yu, H Farahmand, A Mostafavi Computer‐Aided Civil and Infrastructure Engineering 35 (7), 668-684, 2020 | 52 | 2020 |
| Modeling of inter-organizational coordination dynamics in resilience planning of infrastructure systems: A multilayer network simulation framework Q Li, S Dong, A Mostafavi PloS one 14 (11), e0224522, 2019 | 52 | 2019 |
| Empirical mode decomposition–autoregressive integrated moving average: hybrid short-term traffic speed prediction model H Wang, L Liu, Z Qian, H Wei, S Dong Transportation Research Record 2460 (1), 66-76, 2014 | 43 | 2014 |
| Percolation phenomenon in connected vehicle network through a multi-agent approach: Mobility benefits and market penetration A Mostafizi, S Dong, H Wang Transportation Research Part C: Emerging Technologies 85, 312-333, 2017 | 42 | 2017 |
| Susceptibility curves for humans: Empirical survival models for determining household-level disturbances from hazards-induced infrastructure service disruptions A Esmalian, S Dong, A Mostafavi Sustainable Cities and Society 66, 102694, 2021 | 40 | 2021 |
| Modest flooding can trigger catastrophic road network collapse due to compound failure S Dong, X Gao, A Mostafavi, J Gao Communications Earth & Environment 3 (1), 38, 2022 | 39 | 2022 |
| Characterizing resilience of flood-disrupted dynamic transportation network through the lens of link reliability and stability S Dong, X Gao, A Mostafavi, J Gao, U Gangwal Reliability Engineering & System Safety, 109071, 2023 | 38 | 2023 |
| A hybrid deep learning model for predictive flood warning and situation awareness using channel network sensors data S Dong, T Yu, H Farahmand, A Mostafavi Computer‐Aided Civil and Infrastructure Engineering 36 (4), 402-420, 2021 | 38 | 2021 |
| Smart flood resilience: harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness F Yuan, C Fan, H Farahmand, N Coleman, A Esmalian, CC Lee, ... Environmental Research: Infrastructure and Sustainability 2 (2), 025006, 2022 | 35 | 2022 |
| Understanding the multimodal evacuation behavior for a near-field tsunami A Mostafizi, H Wang, S Dong Transportation research record 2673 (11), 480-492, 2019 | 32 | 2019 |
Ali Mostafavi, Ph.D., PEUrbanResilience.AI Lab, Zachry Department of Civil Eng., Texas A&M UniversityVerified email at civil.tamu.edu
