Understanding Infrastructure Resilience, Social Equity, and Their Interrelationships
Exploratory Study Using Social Media Data in Hurricane Michael
Bibliographic Data
| ID | 21738577 |
|---|---|
| Authors | Sunil Dhakal (0000-0002-6622-9719, Florida International University), Lu Zhang (0000-0002-8855-8492, Florida International University, corresponding author), Xuan Lv (0000-0001-6566-2089, Florida International University) |
| Year | 2021 |
| Volume | 22 |
| Issue | 4 |
| Publication date | 2021-11-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Natural Hazards Review (JOURNAL) |
| Journal identifiers | ISSN: 1527-6988 • E-ISSN: 1527-6996 |
| Publisher | American Society of Civil Engineers (ASCE) (PUBLISHER • US) |
| DOI | 10.1061/(asce)nh.1527-6996.0000512 |
| OpenAlex | W3195500534 |
| Language | EN |
| Citations received | 13 |
| References cited | 73 |
The 2030 Global Sustainable Development Agenda of the United Nations highlights the importance of understanding the interlinkages of infrastructure, inequality, and resilience. However, there is limited research that studies the complex interrelationships between infrastructure resilience and social equity. To address the gap, this study aims to understand infrastructure resilience, social equity, and their interrelationships in the context of Hurricane Michael through an integrated analysis of social media data, census data, and disaster damage, relief, and recovery data. The results from the study reveal the following key findings. First, in the context of a disaster, Twitter activities have the potential to be used as an important indicator of infrastructure damage and recovery. Second, socially vulnerable populations are generally less active and represented on Twitter. However, under the same disaster threat level, they were shown to be more active on Twitter, which might be due to more significant hardships they experienced in the disaster. Third, communities with different social equity conditions experienced different levels of infrastructure damage and speeds of recovery. Communities with higher percentages of socially vulnerable populations experienced a relatively higher level of damage and required longer time for recovery. This research contributes to the body of knowledge by offering an improved understanding of social equity and infrastructure resilience in the context of Hurricane Michael using a data-driven approach. The findings from this research further reinforce the fundamental understanding that is needed for practitioners in the emergency management and infrastructure development areas to make human-sensitive decisions that facilitate equitable infrastructure resilience
Business · Disaster recovery · Disaster research · Economic growth · Economics · Emergency management · Environmental resource management · Exploratory research · Geography · Management · Political science · Public relations · Social equality · Social science · Sociology · Disaster Management and Resilience · Infrastructure Resilience and Vulnerability Analysis · Public Relations and Crisis Communication
What you don't know can't help you
A metric to support higher-resolution equity-based infrastructure prioritization
Data Mining for Community Resilience
A Social Welfare–Based Infrastructure Resilience Assessment Framework
Psychosocial and Physical Challenges from a Natural Hazard
Spatial–Temporal Dynamics of Public Infrastructure Service Inequality during Disasters
Social Computing for Post-Earthquake Vulnerability and Resilience Assessment
Challenges and Coping Strategies of Families With Young Children Amid Hurricanes
Socially Equitable Public Service Provision
Assessing Urban–Rural Differences in Disaster Evacuation Vulnerability Among Minority Populations
Context-sensitive analysis of disaster resilience and equity through geospatial explainable machine learning
Post-Traumatic Growth Following a Category-5 Hurricane
Defining social equity in emergency management
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Trends in mental illness and suicidality after Hurricane Katrina
Resilience assessment of complex urban systems to natural disasters
Rapid assessment of disaster damage using social media activity
The Epidemiology of Post-Traumatic Stress Disorder after Disasters
Poverty and Disasters in the United States
Geolocated social media as a rapid indicator of park visitation and equitable park access
Vader
Community Interventions to Promote Mental Health and Social Equity
Resilience and Stability of Ecological Systems
Resilience-based infrastructure planning and asset management
Social media engagement
Disaster Resilience
Social Vulnerability to Disasters
Measuring social equity in flood recovery funding
A novel approach to leveraging social media for rapid flood mapping
Spatial patterns and demographic indicators of effective social media content during theHorsethief Canyon fire of 2012
Combining machine-learning topic models and spatiotemporal analysis of social media data for disaster footprint and damage assessment
Researching the links between social-emotional learning and intercultural education
Challenges in the adoption of crisis crowdsourcing and social media in Canadian emergency management
Cross-Sector Emergency Information Networks on Social Media
Social Vulnerability and Procedural Equity
Trauma and Stress Response Among Hurricane Katrina Evacuees
The impact of Hurricane Katrina on the mental and physical health of low-income parents in New Orleans
Rescaling social dynamics in climate change
Social media and disasters
Representative Bureaucracy
The Gendered Nature of Natural Disasters
Social Vulnerability to Environmental Hazards
Understanding the interacting factors that influence social vulnerability
Mining Twitter Data for Improved Understanding of Disaster Resilience
Perceptions of Social Media for Politics
| Unique citing works | 13 |
|---|---|
| Citations per year | 3,25 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 13 |