Christie Oh
Biographic Data
| ID | 317294 |
|---|---|
| NAME | Christie Oh |
| GIVEN NAMES | Christie |
| FAMILY NAME | Oh |
| SIGNATURE | OH C |
| AFFILIATIONS | University of Tennessee at Knoxville |
| ORCID | 0000-0002-1682-1802 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Examining spatial disparities in essential primary care services across multiple geographic scales in South Korea
A Spatial Planning Model for Obnoxious Facilities with Spatially Informed Constraints
This research aims to develop a novel spatial optimization model for locating obnoxious facilities. While various obnoxious facility location problems (OFLP) have been introduced, the optimal spatial arrangements in existing models may not adequately reflect the real-world conditions, such as the distribution of population and locational restrictions across areas in a region, often offering extreme peripheral or clustered recommendations that ign…
An Efficient Approach for Solving Hub Location Problems Using Network Autocorrelation Structures
The properties of spatial information have been shown to aid in identifying optimal solutions for location–allocation problems. Little effort, though, has been made to develop a spatially informed approach to solving hub location problems, as this class of problems entails a more complex model structure and greater challenges in terms of solving capability. To address this issue, this research proposes the spatially informed hub location problem …
An Efficient Solving Approach for the p ‐Dispersion Problem Based on the Distance‐Based Spatially Informed Property
The p ‐dispersion problem is a spatial optimization problem that aims to maximize the minimum separation distance among all assigned nodes. This problem is characterized by an innate spatial structure based on distance attributes. This research proposes a novel approach, named the distance‐based spatially informed property (D‐SIP) method to reduce the problem size of the p ‐dispersion instances, facilitating a more efficient solution while mainta…
Location Planning of Emergency Medical Facilities Using the p-Dispersed-Median Modeling Approach
This research employs a spatial optimization approach customized for addressing equitable emergency medical facility location problems through the p-dispersed-median problem (p-DIME). The p-DIME integrates two conflicting classes of spatial optimization problems, dispersion and median problems, aiming to identify the optimal locations for emergency medical facilities to achieve an equitable spatial distribution of emergency medical services (EMS)…
The iSquare protocol
This article introduces the iSquare protocol, a novel application of the draw-and-write technique. The protocol was developed in the field of information science to explore the visual dimension of information and as an alternative and complement to written definitions of information that dominate the literature. In addition to generating a new visual perspective on information, the approach has proven fruitful for artistic and pedagogical purpose…
An Efficient Approach for Solving Hub Location Problems Using Network Autocorrelation Structures
The properties of spatial information have been shown to aid in identifying optimal solutions for location–allocation problems. Little effort, though, has been made to develop a spatially informed approach to solving hub location problems, as this class of problems entails a more complex model structure and greater challenges in terms of solving capability. To address this issue, this research proposes the spatially informed hub location problem …
The iSquare protocol
This article introduces the iSquare protocol, a novel application of the draw-and-write technique. The protocol was developed in the field of information science to explore the visual dimension of information and as an alternative and complement to written definitions of information that dominate the literature. In addition to generating a new visual perspective on information, the approach has proven fruitful for artistic and pedagogical purpose…
The iSquare protocol
This article introduces the iSquare protocol, a novel application of the draw-and-write technique. The protocol was developed in the field of information science to explore the visual dimension of information and as an alternative and complement to written definitions of information that dominate the literature. In addition to generating a new visual perspective on information, the approach has proven fruitful for artistic and pedagogical purpose…
Location Planning of Emergency Medical Facilities Using the p-Dispersed-Median Modeling Approach
This research employs a spatial optimization approach customized for addressing equitable emergency medical facility location problems through the p-dispersed-median problem (p-DIME). The p-DIME integrates two conflicting classes of spatial optimization problems, dispersion and median problems, aiming to identify the optimal locations for emergency medical facilities to achieve an equitable spatial distribution of emergency medical services (EMS)…
An Efficient Solving Approach for the p ‐Dispersion Problem Based on the Distance‐Based Spatially Informed Property
The p ‐dispersion problem is a spatial optimization problem that aims to maximize the minimum separation distance among all assigned nodes. This problem is characterized by an innate spatial structure based on distance attributes. This research proposes a novel approach, named the distance‐based spatially informed property (D‐SIP) method to reduce the problem size of the p ‐dispersion instances, facilitating a more efficient solution while mainta…
A Spatial Planning Model for Obnoxious Facilities with Spatially Informed Constraints
This research aims to develop a novel spatial optimization model for locating obnoxious facilities. While various obnoxious facility location problems (OFLP) have been introduced, the optimal spatial arrangements in existing models may not adequately reflect the real-world conditions, such as the distribution of population and locational restrictions across areas in a region, often offering extreme peripheral or clustered recommendations that ign…
An Efficient Approach for Solving Hub Location Problems Using Network Autocorrelation Structures
The properties of spatial information have been shown to aid in identifying optimal solutions for location–allocation problems. Little effort, though, has been made to develop a spatially informed approach to solving hub location problems, as this class of problems entails a more complex model structure and greater challenges in terms of solving capability. To address this issue, this research proposes the spatially informed hub location problem …
Examining spatial disparities in essential primary care services across multiple geographic scales in South Korea
Computer Science (4 works) · Facility Location and Emergency Management (4 works) · Mathematics (3 works) · Algorithm (2 works) · Facility location problem (2 works) · Mathematical optimization (2 works) · Population (2 works) · Spatial analysis (2 works) · Vehicle Routing Optimization Methods (2 works) · Artificial Intelligence (1 work)