Volodymyr V Mihunov

Biographic Data

ID1341108
NAMEVolodymyr V Mihunov
GIVEN NAMESVolodymyr V
FAMILY NAMEMihunov
SIGNATUREMIHUNOV V V
AFFILIATIONSLouisiana State University
ORCID0000-0002-1490-6124
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS3
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2026
H-INDEX1

  • Assessing community resilience to hurricanes in the Guangdong–Hong Kong–Macao Greater Bay Area, China from 2013 to 2023

    Open AccessXinyang Zhang, Nina S N Lam et al.ARTICLEInternational Journal of Disaster…2026

    Hurricanes, one of the most devastating natural phenomena in coastal regions, pose significant risks to infrastructure, environment, and human lives. Understanding and monitoring the resilience capacity to the hurricane hazard are crucial for building an adaptable and sustainable society. This study employed the Resilience Inference Measurement (RIM) model to assess the community resilience level at the township level in the southern China mega-c…

  • Mining socioenvironmental drivers of bias in social media rescue data for fairness-aware modeling

    Open AccessKejin Wang, Volodymyr V Mihunov et al.ARTICLEInternational Journal of Disaster…2025

  • A Machine Learning Approach for Detecting Rescue Requests from Social Media

    Open AccessZheye Wang, Nina S N Lam et al.ARTICLEISPRS International Journal of…2022

    Hurricane Harvey in 2017 marked an important transition where many disaster victims used social media rather than the overloaded 911 system to seek rescue. This article presents a machine-learning-based detector of rescue requests from Harvey-related Twitter messages, which differentiates itself from existing ones by accounting for the potential impacts of ZIP codes on both the preparation of training samples and the performance of different mach…

  • Twitter Use in Hurricane Isaac and Its Implications for Disaster Resilience

    Open AccessKejin Wang, Nina S N Lam et al.ARTICLEISPRS International Journal of…2021

    Disaster resilience is the capacity of a community to “bounce back” from disastrous events. Most studies rely on traditional data such as census data to study community resilience. With increasing use of social media, new data sources such as Twitter could be utilized to monitor human response during different phases of disasters to better understand resilience. An important research question is: Does Twitter use correlate with disaster resilienc…

  • Economics over Risk

    Rachel M Correll, Nina S N Lam et al.ARTICLEAnnals of the American…2021References: 51

    We analyzed the migration consideration factors of residents from the Mississippi River Delta in southern Louisiana, which is under the influence of rising sea levels, subsiding land, and increasing flood risks. Through the use of a telephone survey of 1,125 adult individuals in twenty-four parishes, we gathered the demographic data and flood risk experiences and perceptions of each respondent. The data were analyzed through descriptive statistic…

  • Modeling the dynamics of drought resilience in South-Central United States using a Bayesian Network

    Open AccessVolodymyr V Mihunov, Nina S N LamARTICLEApplied Geography2020

  • A synthesis of disaster resilience measurement methods and indices

    Open AccessHeng Cai, Nina S N Lam et al.ARTICLEInternational Journal of Disaster…2018

  • Community Resilience to Drought Hazard in the South-Central United States

    Volodymyr V Mihunov, Nina S N Lam et al.ARTICLEAnnals of the American…2018Cited by: 3References: 34

    Drought is a hazard that inflicts costly damage to agricultural, hydrologic, and ecological systems and affects human health and prosperity. A comprehensive assessment of resilience to the drought hazard in various communities and an identification of the main variables that affect resilience is crucial to coping with the hazard and promoting resilience. This study assessed the community resilience to drought hazards of all 503 counties of Arkans…