Ali Mostafavi
Dados Biográficos
| ID | 4416704 |
|---|---|
| NOME | Ali Mostafavi |
| PRENOMES | Ali |
| SOBRENOME | Mostafavi |
| ASSINATURA | MOSTAFAVI A |
| AFILIAÇÕES | Texas A&M University |
| ORCID | 0000-0002-9076-9408 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 70 |
| TOTAL DE CITAÇÕES | 5 |
| TOTAL COMO AUTOR | 70 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2019 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Characterizing Community Formation in Response to Extreme Weather Events Through Human Mobility Networks
Community formation in socio-spatial human networks is an important mechanism through which populations cope with and mitigate the impacts of extreme weather hazards. However, limited research has examined the latent network characteristics that shape community formation in human mobility networks during natural hazard-related disasters. In this study, we analyzed human mobility networks in Harris County, Texas, during the managed power outages a…
Quantifying the social costs of power outages and restoration disparities across four U.S. hurricanes
The multifaceted nature of disaster impact reveals that areas with concentrated populations may contribute more to overall economic burden, while sparsely populated but highly impacted regions suffer disproportionately at the individual level. This study presents a framework that quantifies the societal costs of power outages by converting customer-weighted outage exposure into monetized social losses. This framework integrates with three recover…
Revealing growing and disparate vulnerability in the U.S. power system
Power systems are increasingly challenged by a range of external and internal threats that undermine their reliability and resilience. Power system vulnerability, the proneness of the power system to disruptions, can be empirically characterized through the observable manifestations of power outages. However, existing research remains limited in spatial coverage, temporal scope, and analytical consistency, and lacks comprehensive, longitudinal, l…
Quantifying functional criticality of lifelines through mobility-derived population-facility dependence for human-centered resilience
Dynamics of post-disaster recovery in behavior-dependent business networks
The recovery of businesses after disasters is a critical component of community economic resilience; however, little is known about the network dynamics and spillover effects that shape recovery speed. This study investigates how post-disaster business recovery is influenced by the network diffusion process in pre-disaster business dependency networks formed by visitation behaviors among business points of interest (POIs). Using a network diffusi…
Dynamics of collective information processing for risk encoding in social networks during crises
Improving flood damage estimation by integrating property elevation data
DamageCAT
Rapid, accurate, and descriptive building damage assessment is critical for directing post-disaster resources, yet current automated methods typically provide only binary (damaged/ undamaged) or ordinal severity scales. This paper introduces DamageCAT, a framework that advances damage assessment through typology-based categorical classifications. We contribute: (1) the BD-TypoSAT dataset containing satellite image triplets from Hurricane Ida with…
AI meets natural hazard risk
Estimating deprivation cost functions for power outages during disasters
Systems for the generation and distribution of electrical power represents critical infrastructure and, when extreme weather events disrupt such systems, this imposes substantial costs on consumers. These costs can be conceptualized as deprivation costs—an increasing function of time without service—quantifiable through individuals' willingness to pay for power restoration. Despite widespread recognition of outage impacts, a gap in the research l…
Network dynamics of community resilience and recovery
Decoding the pulse of community during disasters
A system for community lifeline and resource optimization in disaster management and planning
Analyzing common social and physical features of flash-flood vulnerability in urban areas
Anatomy of a historic blackout
Artificial intelligence for flood risk management
Socially Equitable Public Service Provision
The challenge of building and maintaining public infrastructure in the face of climate change and natural hazards necessitates greater citizen involvement in decision-making processes. Coproduction aims to ensure equitable service distribution by engaging a diverse range of citizens. However, the literature highlights disparities, with certain citizens having greater resources for participation. This study explores how individual socioeconomic fa…
Spillover effects of built-environment vulnerability on resilience of businesses in urban crises
Human mobility disproportionately extends PM2.5 emission exposure for low income populations
Incorporating environmental considerations into infrastructure inequality evaluation using interpretable machine learning
Ml4ej
Understanding the key factors shaping environmental hazard exposures and their associated environmental injustice issues is vital for formulating equitable policy measures. Traditional perspectives on environmental injustice have primarily focused on the socioeconomic dimensions, often overlooking the influence of heterogeneous urban characteristics. This limited view may obstruct a comprehensive understanding of the complex nature of environment…
Generating equitable urban human flows with a fairness-aware deep learning model
Neural embeddings of urban big data reveal spatial structures in cities
Over decades, many cities have been expanded and functionally diversified by population activities, socio-demographics and attributes of the built environment. Urban expansion and development have led to the emergence of spatial structures of cities. Uncovering cities’ spatial structures is critical to understanding various urban phenomena such as segregation, equity of access, and sustainability. In this study, we propose using a neural embeddin…
Population activity recovery
Mobility behaviors shift disparity in flood exposure in U.S. population groups
A plan evaluation framework for examining stakeholder policy preferences in resilience planning and management of urban systems
Incorporating environmental considerations into infrastructure inequality evaluation using interpretable machine learning
Integrated infrastructure-plan analysis for resilience enhancement of post-hazards access to critical facilities
The Role of Local Influential Users in Spread of Situational Crisis Information
Extensive spread of situational information is important for communities in response to crises/disasters. Among various mechanisms affecting the spread of information on social media, influential users play a critical role in enhancing information spread. This study examines the attributes and activities of local influential users as well as their interactions with ordinary users on Twitter during 2017’s Hurricane Harvey. The results show that th…
Resilience-based infrastructure planning and asset management
Institutional congruence for resilience management in interdependent infrastructure systems
Anatomy of susceptibility for shelter-in-place households facing infrastructure service disruptions caused by natural hazards
Temporal network analysis of inter-organizational communications on social media during disasters
Crowd or Hubs
Metanetwork Framework for Analysis of Actor-Plan-Task-Infrastructure Networks in Resilience Planning and Management
This paper proposes a metanetwork framework for modeling dependent Actor-Plan-Task-Infrastructure networks. The proposed framework is able to quantitatively evaluate the extent to which coordination among actors and integration among plans reflect infrastructure dependencies in resilience planning. Because resilience planning involves multiple actors and various plans, it is critical that actor coordination and plan integration are consistent wit…
Equitable Resilience in Infrastructure Systems
The objective of this study was to examine social inequality in exposure and hardship experienced by various groups due to infrastructure service disruptions in disasters. After more than two decades, the existing literature related to infrastructure resilience mainly focuses on system performance and considers the impacts of service disruptions to be equal for the public. The public, however, is not a monolithic entity, and different subpopulati…
Spatial biases in crowdsourced data
An integrated physical-social analysis of disrupted access to critical facilities and community service-loss tolerance in urban flooding
Probabilistic modeling of cascading failure risk in interdependent channel and road networks in urban flooding
Assessment of household-level food-energy-water nexus vulnerability during disasters
The Role of Local Influential Users in Spread of Situational Crisis Information
Extensive spread of situational information is important for communities in response to crises/disasters. Among various mechanisms affecting the spread of information on social media, influential users play a critical role in enhancing information spread. This study examines the attributes and activities of local influential users as well as their interactions with ordinary users on Twitter during 2017’s Hurricane Harvey. The results show that th…
Vulnerable populations and social media use in disasters
Disruption Tolerance Index for determining household susceptibility to infrastructure service disruptions
Compound hazards
Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction
Susceptibility curves for humans
Evaluating crisis perturbations on urban mobility using adaptive reinforcement learning
A plan evaluation framework for examining stakeholder policy preferences in resilience planning and management of urban systems
Integrated infrastructure-plan analysis for resilience enhancement of post-hazards access to critical facilities
Community-scale big data reveals disparate impacts of the Texas winter storm of 2021 and its managed power outage
Aggregated community-scale data could be harnessed to provide insights into the disparate impacts of managed power outages, burst pipes, and food inaccessibility during extreme weather events. During the winter storm that brought historically low temperatures, snow, and ice to the entire state of Texas in February 2021, Texas power-generating plant operators resorted to rolling blackouts to prevent collapse of the power grid when power demand ove…
Understanding Social Biases Behind Location Names in Contextual Word Embedding Models
Embeddings of textual data containing location names (e.g., social media posts) have essential applications in various contexts such as marketing and disaster management. In these downstream implementations, social biases behind location names are highly prone to introduce unfair results through their embeddings; for example, emergent text messages with swapped location names might result in varied rescue responses. Hence, it is critical to addre…
Climate change impacts on infrastructure
Dissecting heterogeneous pathways to disparate household-level impacts due to infrastructure service disruptions
Examining the consistency between geo-coordinates and content-mentioned locations in tweets for disaster situational awareness
Computer Science (49 obras) · Geography (45 obras) · Disaster Management and Resilience (38 obras) · Flood Risk Assessment and Management (31 obras) · Business (26 obras) · Environmental Science (24 obras) · Infrastructure Resilience and Vulnerability Analysis (24 obras) · Engineering (21 obras) · Flood myth (18 obras) · Economics (17 obras)