Eren Erman Ozguven
Biographic Data
| ID | 1406187 |
|---|---|
| NAME | Eren Erman Ozguven |
| GIVEN NAMES | Eren Erman |
| FAMILY NAME | Ozguven |
| SIGNATURE | OZGUVEN E E |
| AFFILIATIONS | Florida A&M University - Florida State University College of Engineering |
| ORCID | 0000-0001-6006-7635 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Developing a Machine Learning-Based Framework for Roadway Vulnerability and Impact Assessment Using Aerial Imagery
This study developed a machine learning-based framework for assessing roadway vulnerability and impacts in hurricane-prone regions, utilizing remote sensing techniques. To quantify the immediate and consistent impacts of hurricanes on the roadway network, the study developed two key metrics: the road closure impact index (RCII) and the roadway vulnerability index (RVI). The RCII assesses the severity of roadway closures by analyzing detected boun…
Robust mobile electric vehicle charging solutions for natural disasters: A multi-criteria resilience analysis in Florida
Gender differences in self-reported hurricane evacuation decisions among vulnerable populations: A comparative study of urban and rural areas
Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques
The rapid advancement of computer vision technology is transforming how transportation agencies collect roadway characteristics inventory (RCI) data, yielding substantial savings in resources and time. Traditionally, capturing roadway data through image processing was seen as both difficult and error-prone. However, considering the recent improvements in computational power and image recognition techniques, there are now reliable methods to ident…
Assessing Urban–Rural Differences in Disaster Evacuation Vulnerability Among Minority Populations: Insights from a Recent Survey in Florida
Minority populations frequently face heightened vulnerabilities compared to other racial groups during disasters. This research investigates how the responses to disaster issues of minority populations vary across rural and urban areas. The study examines differences in disaster evacuation vulnerabilities among minority populations by analyzing their evacuation status and choices of evacuation destinations. The 2023 survey employed a two-target g…
An Analysis of the Spatial Variations in the Relationship Between Built Environment and Severe Crashes
Traffic crashes significantly contribute to global fatalities, particularly in urban areas, highlighting the need to evaluate the relationship between urban environments and traffic safety. This study extends former spatial modeling frameworks by drawing paths between global models, including spatial lag (SLM), and spatial error (SEM), and local models, including geographically weighted regression (GWR), multi-scale geographically weighted regres…
Understanding Changes in Spatial Accessibility to Restaurants During the Covid ‐19 Pandemic: Disentangling Closures, Inequity, Neighborhood, and Transportation Mode
Among one of the more significant societal impacts of the COVID‐19 pandemic, restrictions on people's movement accelerated, and in some cases outright caused, restaurant closures. By considering people's potential for both driving and walking to restaurants, this study aims to examine how restaurant closures are associated with neighborhood characteristics during the pandemic. To do so, we investigated changes in spatial accessibility to restaura…
Large-scale modeling of hurricane flooding and disrupted infrastructure impacts on accessibility to critical facilities
Understanding spatiotemporal variation of social vulnerabilities from longitudinal hurricane-pandemic data: A multilevel model of the Covid-19 pandemic during hurricane Sally in Florida
Rapid simulation of storm surge inundation for hurricane evacuation in Florida by multi-scale nested modeling approach
Location selection of field hospitals amid Covid-19 considering effectiveness and fairness: A case study of Florida
Remote sensing-based comparative damage assessment of historical storms and hurricanes in Northwestern Florida
Integrating Evacuation and Storm Surge Modeling Considering Potential Hurricane Tracks: The Case of Hurricane Irma in Southeast Florida
Hurricane Irma, in 2017, made an unusual landfall in South Florida and the unpredictability of the hurricane’s path challenged the evacuation process seriously and left many evacuees clueless. It was likely to hit Southeast Florida but suddenly shifted its path to the west coast of the peninsula, where the evacuation process had to change immediately without any time for individual decision-making. As such, this study aimed to develop a methodolo…
Fault classification in power distribution systems based on limited labeled data using multi-task latent structure learning
City transportation network vulnerability to disasters: The case of Hurricane Hermine in Florida
Hurricanes affect millions of people in the U.S. every year and cause billion-dollar economic losses. Florida is one of the states in the U.S. which is vulnerable to hurricanes and major infrastructure damages were reported due to these extreme events such as Hurricane Hermine (2016). This study aims to assess the impacts of Hermine on the transportation network of Tallahassee, the capital of Florida, using a spatial-analytical approach and real-…
Extending interdiction and median models to identify critical hurricane shelters
A prescriptive model to assess the socio-demographics impacts of resilience improvements on power networks
Understanding citizens' communication channel preferences during natural disasters: A synchronicity-based, mixed-methods exploration using survey and geospatial analysis
Special needs hurricane shelters and the ageing population: Development of a Methodology and a Case Study Application
Recent experience of hurricanes, particularly in the southeast United States, has heightened awareness of the multifaceted nature of and the challenges to effective disaster relief planning. One key element of this planning is providing adequate shelter at secure locations for people who evacuate. Some of these individuals will have 'special needs', yet there is little research on the relationship with shelter space. This study designed a geograp…
Evacuating People and Their Pets: Older Floridians’ Need for and Proximity to Pet-Friendly Shelters
High pet shelter need coupled with low availability exacerbates older adults' heightened vulnerability during Florida's hurricane season
Spatial investigation of aging-involved crashes: A GIS-based case study in Northwest Florida
Spatial investigation of aging-involved crashes: A GIS-based case study in Northwest Florida
Special needs hurricane shelters and the ageing population: Development of a Methodology and a Case Study Application
Recent experience of hurricanes, particularly in the southeast United States, has heightened awareness of the multifaceted nature of and the challenges to effective disaster relief planning. One key element of this planning is providing adequate shelter at secure locations for people who evacuate. Some of these individuals will have 'special needs', yet there is little research on the relationship with shelter space. This study designed a geograp…
Large-scale modeling of hurricane flooding and disrupted infrastructure impacts on accessibility to critical facilities
Evacuating People and Their Pets: Older Floridians’ Need for and Proximity to Pet-Friendly Shelters
High pet shelter need coupled with low availability exacerbates older adults' heightened vulnerability during Florida's hurricane season
Spatial investigation of aging-involved crashes: A GIS-based case study in Northwest Florida
Evacuating People and Their Pets: Older Floridians’ Need for and Proximity to Pet-Friendly Shelters
High pet shelter need coupled with low availability exacerbates older adults' heightened vulnerability during Florida's hurricane season
Special needs hurricane shelters and the ageing population: Development of a Methodology and a Case Study Application
Recent experience of hurricanes, particularly in the southeast United States, has heightened awareness of the multifaceted nature of and the challenges to effective disaster relief planning. One key element of this planning is providing adequate shelter at secure locations for people who evacuate. Some of these individuals will have 'special needs', yet there is little research on the relationship with shelter space. This study designed a geograp…
Extending interdiction and median models to identify critical hurricane shelters
A prescriptive model to assess the socio-demographics impacts of resilience improvements on power networks
Understanding citizens' communication channel preferences during natural disasters: A synchronicity-based, mixed-methods exploration using survey and geospatial analysis
Integrating Evacuation and Storm Surge Modeling Considering Potential Hurricane Tracks: The Case of Hurricane Irma in Southeast Florida
Hurricane Irma, in 2017, made an unusual landfall in South Florida and the unpredictability of the hurricane’s path challenged the evacuation process seriously and left many evacuees clueless. It was likely to hit Southeast Florida but suddenly shifted its path to the west coast of the peninsula, where the evacuation process had to change immediately without any time for individual decision-making. As such, this study aimed to develop a methodolo…
Fault classification in power distribution systems based on limited labeled data using multi-task latent structure learning
City transportation network vulnerability to disasters: The case of Hurricane Hermine in Florida
Hurricanes affect millions of people in the U.S. every year and cause billion-dollar economic losses. Florida is one of the states in the U.S. which is vulnerable to hurricanes and major infrastructure damages were reported due to these extreme events such as Hurricane Hermine (2016). This study aims to assess the impacts of Hermine on the transportation network of Tallahassee, the capital of Florida, using a spatial-analytical approach and real-…
Remote sensing-based comparative damage assessment of historical storms and hurricanes in Northwestern Florida
Understanding spatiotemporal variation of social vulnerabilities from longitudinal hurricane-pandemic data: A multilevel model of the Covid-19 pandemic during hurricane Sally in Florida
Rapid simulation of storm surge inundation for hurricane evacuation in Florida by multi-scale nested modeling approach
Location selection of field hospitals amid Covid-19 considering effectiveness and fairness: A case study of Florida
An Analysis of the Spatial Variations in the Relationship Between Built Environment and Severe Crashes
Traffic crashes significantly contribute to global fatalities, particularly in urban areas, highlighting the need to evaluate the relationship between urban environments and traffic safety. This study extends former spatial modeling frameworks by drawing paths between global models, including spatial lag (SLM), and spatial error (SEM), and local models, including geographically weighted regression (GWR), multi-scale geographically weighted regres…
Understanding Changes in Spatial Accessibility to Restaurants During the Covid ‐19 Pandemic: Disentangling Closures, Inequity, Neighborhood, and Transportation Mode
Among one of the more significant societal impacts of the COVID‐19 pandemic, restrictions on people's movement accelerated, and in some cases outright caused, restaurant closures. By considering people's potential for both driving and walking to restaurants, this study aims to examine how restaurant closures are associated with neighborhood characteristics during the pandemic. To do so, we investigated changes in spatial accessibility to restaura…
Large-scale modeling of hurricane flooding and disrupted infrastructure impacts on accessibility to critical facilities
Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques
The rapid advancement of computer vision technology is transforming how transportation agencies collect roadway characteristics inventory (RCI) data, yielding substantial savings in resources and time. Traditionally, capturing roadway data through image processing was seen as both difficult and error-prone. However, considering the recent improvements in computational power and image recognition techniques, there are now reliable methods to ident…
Assessing Urban–Rural Differences in Disaster Evacuation Vulnerability Among Minority Populations: Insights from a Recent Survey in Florida
Minority populations frequently face heightened vulnerabilities compared to other racial groups during disasters. This research investigates how the responses to disaster issues of minority populations vary across rural and urban areas. The study examines differences in disaster evacuation vulnerabilities among minority populations by analyzing their evacuation status and choices of evacuation destinations. The 2023 survey employed a two-target g…
Developing a Machine Learning-Based Framework for Roadway Vulnerability and Impact Assessment Using Aerial Imagery
This study developed a machine learning-based framework for assessing roadway vulnerability and impacts in hurricane-prone regions, utilizing remote sensing techniques. To quantify the immediate and consistent impacts of hurricanes on the roadway network, the study developed two key metrics: the road closure impact index (RCII) and the roadway vulnerability index (RVI). The RCII assesses the severity of roadway closures by analyzing detected boun…
Robust mobile electric vehicle charging solutions for natural disasters: A multi-criteria resilience analysis in Florida
Gender differences in self-reported hurricane evacuation decisions among vulnerable populations: A comparative study of urban and rural areas
Geography (15 works) · Computer Science (14 works) · Engineering (8 works) · Environmental Science (8 works) · Computer security (7 works) · Evacuation and Crowd Dynamics (7 works) · Flood Risk Assessment and Management (7 works) · Population (7 works) · Cartography (6 works) · Disaster Management and Resilience (6 works)