Junghwan Kim
Dados Biográficos
| ID | 3635697 |
|---|---|
| NOME | Junghwan Kim |
| PRENOMES | Junghwan |
| SOBRENOME | Kim |
| ASSINATURA | KIM J |
| AFILIAÇÕES | Virginia Tech |
| ORCID | 0000-0002-7275-769X |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 45 |
| TOTAL DE CITAÇÕES | 75 |
| TOTAL COMO AUTOR | 45 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2004 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 5 |
Mapping workforce reskilling urgency in the age of AI
Topics and trajectories of research on workplace learning
This study provides a comprehensive analysis of the research landscape in workplace learning (WL) using bibliometric analysis and topic modelling techniques. A total of 932 peer-reviewed articles published between 1994 and 2023 were examined to identify the intellectual structure, thematic landscape, and emerging trends in the field. The bibliometric analysis revealed key findings, including annual production trends, influential authors, sources,…
Measuring spatiotemporal income segregation in U.S. metropolitan areas
Workplace learning and postsecondary access of working adults without a college degree in the United States
Imagining the city
Expanding Public Access to Understanding Data
Interactive dashboards have become central tools for visualizing policy-relevant data, but they remain limited by rigid structures and technical complexity. Recent advances in large language model (LLM)-powered conversational artificial intelligence (AI) offer a way to address these challenges, as LLMs can interpret unstructured natural language inputs and translate them into structured functions. This proof-of-concept study introduces a generati…
Small firms, big streams
Effects of high-intensity resistance training on extended body composition and functional fitness after spinal cord injury with motor complete paraplegia
Purpose This study aimed to compare the effects of high-intensity resistance training (HIRT) versus moderate-intensity resistance training (MIRT) on bone mineral density (BMD), body composition, and functional fitness in individuals with motor-complete paraplegia after spinal cord injury (SCI), and to propose a tailored exercise intervention for this population. Methods Participants with motor-complete paraplegia were randomized into HIRT ( n = 8…
Generative AI for Geospatial Analysis
This study investigates the potential of fine-tuned large language models (LLMs) to enhance geospatial intelligence by translating natural language queries into executable Python code. Traditional GIS workflows, while effective, often lack usability and scalability for non-technical users. LLMs offer a new approach by enabling conversational interaction with spatial data. We evaluate OpenAI’s GPT-4o-mini model in two forms: an “As-Is” baseline an…
Confronting the controversy over neighborhood effect bias in green exposure
Generative AI in Undergraduate Education
Across all disciplines, generative artificial intelligence (GenAI) threatens student academic integrity in traditional assessments. Its detection is unreliable. From talking with students, however, we know they are finding GenAI to be helpful in their studies. Through experiments and experience at five universities and colleges in the United States and Canada, this article demonstrates that GenAI can be strategically, thoughtfully, and critically…
Multimodal Large Language Models as Built Environment Auditing Tools
This research showcases the transformative potential of large language models (LLMs) for built environment auditing from street-view images. By empirically testing the performances of two multimodal LLMs, ChatGPT and Gemini, we confirmed that LLM-based audits strongly agree with virtual audits processed by a conventional deep learning-based method (DeepLabv3+), which has been widely adopted by existing studies on urban visual analytics. Unlike co…
Comparing the Spatial Querying Capacity of Large Language Models
Since the launch of ChatGPT in 2022 and Gemini in 2023, there has been growing interest in the potential application of generative artificial intelligence (AI) in geography and GIScience. As the need for geospatially capable generative AI tools increases, an empirical investigation of generative AI tools’ performance in spatial querying is urgently needed. To fill this gap, we conducted experiments to assess ChatGPT and Gemini regarding their abi…
Understanding inequalities in geographic accessibility to emergency cyclone shelters in Bangladesh under climate change
This research aims to explore inequalities in geographic accessibility to emergency cyclone shelters in Bangladesh, a country in the Global South that is prone to natural disasters. We begin by quantifying the walking time to the nearest cyclone shelters as a basic measure of accessibility. Additionally, we compute a more practical measure of accessibility by considering crowding effects in shelters due to the interactions between supply (e.g., s…
Artificial Intelligence in urban design
Social inequalities in green exposure in small- and medium-sized U.S. cities
Bridging the gap
Place identity
Do cities have a collective identity? The latest advancements in generative artificial intelligence (AI) models have enabled the creation of realistic representations learned from vast amounts of data. In this study, we test the potential of generative AI as the source of textual and visual information in capturing the place identity of cities assessed by filtered descriptions and images. We asked questions on the place identity of 64 global citi…
Exploring the limitations in how ChatGPT introduces environmental justice issues in the United States
Understandings of the AI business ecosystem in South Korea
The cost of climate change
Public transit offers urban populations physical accessibility to resources and opportunities. However, at the same time, transit trips often expose users to extreme environmental conditions, such as extreme heat and cold since transit journeys usually include out-of-vehicle trip segments including walking and waiting. Such exposure can be considered as environmental health costs because exposure to weather extremes can lead to adverse health out…
The role of privacy concerns, perceived benefits, and trust in citizens' acceptance of street-view image collection by local planning agencies
Luxury Unveiled
Luxury Conglomerate Strategy
Examining the socio-spatial patterns of bus shelters with deep learning analysis of street-view images
The impact of the Covid-19 pandemic on people's mobility
The impacts of the modifiable areal unit problem (Maup) on social equity analysis of public transit reliability
How Neighborhood Effect Averaging Might Affect Assessment of Individual Exposures to Air Pollution
The neighborhood effect averaging problem (NEAP) can be a serious methodological problem that leads to erroneous assessments when studying mobility-dependent exposures (e.g., air or noise pollution) because people’s daily mobility could amplify or attenuate the exposures they experienced in their residential neighborhoods. Specifically, the NEAP suggests that individuals’ mobility-based exposures tend toward the mean level of the participants or …
More than travel time
Factors influencing K-pop artists' success on V live online video platform
How do people perceive the disclosure risk of maps? Examining the perceived disclosure risk of maps and its implications for geoprivacy protection
This research examines how people subjectively perceive the disclosure risk of a map using original data collected in an online survey with 856 participants. The results indicate that perceived disclosure risk increases as the amount of locational information displayed on a map increases. Compared to point-based maps, perceived disclosure risk is significantly lower for kernel density maps, convex hull maps, and standard deviational ellipse maps.…
Examining the socio-spatial patterns of bus shelters with deep learning analysis of street-view images
An exploratory assessment of the effectiveness of geomasking methods on privacy protection and analytical accuracy for individual-level geospatial data
The widespread use of personal geospatial data raises serious geoprivacy concerns for sharing these data, which may limit the reproducibility of research findings. One widely used method for securely sharing confidential geospatial information is applying geomasking techniques before sharing. Geomasking may reduce the usability of the data. Thus, researchers need to strike a balance between privacy protection and analytical accuracy. Although man…
Understanding inequalities in geographic accessibility to emergency cyclone shelters in Bangladesh under climate change
This research aims to explore inequalities in geographic accessibility to emergency cyclone shelters in Bangladesh, a country in the Global South that is prone to natural disasters. We begin by quantifying the walking time to the nearest cyclone shelters as a basic measure of accessibility. Additionally, we compute a more practical measure of accessibility by considering crowding effects in shelters due to the interactions between supply (e.g., s…
Developing and evaluating transit-based healthcare accessibility in a low- and middle-income country
Social inequalities in green exposure in small- and medium-sized U.S. cities
Bridging the gap
Deskilling and reskilling of political refugees in the Republic of Korea
This qualitative case study applied the actor-network theory to trace the deskilling and reskilling of political refugees in the Republic of Korea. The investigation revealed that refugees’ skills could be interpreted as network effects that emerge through heterogeneous networks of colleges, workplaces and social activism. These linkages continuously dismantle and reconverge as they go through exile. The constraints of the refugee recognition pro…
The Academic Credit Bank System in the Republic of Korea
Ligusticum wallichi-induced vasorelaxation mediated by mitogen-activated protein kinase in rat aortic smooth muscle
Beyond Commuting
This research examines whether individual exposures to traffic congestion are significantly different between assessments obtained with and without considering individuals' activity-travel patterns in addition to commuting trips. We used crowdsourced real-time traffic congestion data and the activity-travel data of 250 individuals in Los Angeles to compare these two assessments of individual exposures to traffic congestion. The results revealed t…
More than travel time
The Academic Credit Bank System in the Republic of Korea
Predicting AI News Credibility
News credibility as an essential democratic value has been at the forefront of scholarly endeavors over the last several decades. Despite prolific research in this area, scholarship on the credibility of algorithm-based and automated news has yet to offer empirical findings in regards to the causes and their impacts. In line with prior studies concerning news credibility, this study examines the driving forces in predicting the level of credibili…
How do people perceive the disclosure risk of maps? Examining the perceived disclosure risk of maps and its implications for geoprivacy protection
This research examines how people subjectively perceive the disclosure risk of a map using original data collected in an online survey with 856 participants. The results indicate that perceived disclosure risk increases as the amount of locational information displayed on a map increases. Compared to point-based maps, perceived disclosure risk is significantly lower for kernel density maps, convex hull maps, and standard deviational ellipse maps.…
An Examination of People’s Privacy Concerns, Perceptions of Social Benefits, and Acceptance of Covid-19 Mitigation Measures That Harness Location Information
This paper examines people’s privacy concerns, perceptions of social benefits, and acceptance of various COVID-19 control measures that harness location information using data collected through an online survey in the U.S. and South Korea. The results indicate that people have higher privacy concerns for methods that use more sensitive and private information. The results also reveal that people’s perceptions of social benefits are low when their…
How Culture and Sociopolitical Tensions Might Influence People’s Acceptance of Covid-19 Control Measures That Use Individual-Level Georeferenced Data
This study extends an earlier study in the United States and South Korea on people’s privacy concerns for and acceptance of COVID-19 control measures that use individual-level georeferenced data (IGD). Using a new dataset collected via an online survey in Hong Kong, we first examine the influence of culture and recent sociopolitical tensions on people’s privacy concerns for and acceptance of three types of COVID-19 control measures that use IGD: …
The impact of the Covid-19 pandemic on people's mobility
Deskilling and reskilling of political refugees in the Republic of Korea
This qualitative case study applied the actor-network theory to trace the deskilling and reskilling of political refugees in the Republic of Korea. The investigation revealed that refugees’ skills could be interpreted as network effects that emerge through heterogeneous networks of colleges, workplaces and social activism. These linkages continuously dismantle and reconverge as they go through exile. The constraints of the refugee recognition pro…
Factors influencing K-pop artists' success on V live online video platform
How Neighborhood Effect Averaging Might Affect Assessment of Individual Exposures to Air Pollution
The neighborhood effect averaging problem (NEAP) can be a serious methodological problem that leads to erroneous assessments when studying mobility-dependent exposures (e.g., air or noise pollution) because people’s daily mobility could amplify or attenuate the exposures they experienced in their residential neighborhoods. Specifically, the NEAP suggests that individuals’ mobility-based exposures tend toward the mean level of the participants or …
Job Accessibility as a Lens for Understanding the Urban Structure of Colonial Cities
This study examined the urban structure of colonial Seoul in the 1930s, the capital city of Korea under the rule of the Japanese empire, by adopting quantitative geographical methods. We utilized a job accessibility index to operationalize the urban structure. We also used geographic information science (GIScience) analysis tools to digitize neighborhood-level sociodemographic and parcel-level business location information from historical materia…
Social benefits of living in the metaverse
An exploratory assessment of the effectiveness of geomasking methods on privacy protection and analytical accuracy for individual-level geospatial data
The widespread use of personal geospatial data raises serious geoprivacy concerns for sharing these data, which may limit the reproducibility of research findings. One widely used method for securely sharing confidential geospatial information is applying geomasking techniques before sharing. Geomasking may reduce the usability of the data. Thus, researchers need to strike a balance between privacy protection and analytical accuracy. Although man…
The impacts of the modifiable areal unit problem (Maup) on social equity analysis of public transit reliability
Does social capital matter to the Millennials? Social capital and user engagements in online video platforms
Korea's leadership in 5G and beyond
An examination of the spatial coverage and temporal variability of Google Street View (GSV) images in small- and medium-sized cities
Developing and evaluating transit-based healthcare accessibility in a low- and middle-income country
Place identity
Do cities have a collective identity? The latest advancements in generative artificial intelligence (AI) models have enabled the creation of realistic representations learned from vast amounts of data. In this study, we test the potential of generative AI as the source of textual and visual information in capturing the place identity of cities assessed by filtered descriptions and images. We asked questions on the place identity of 64 global citi…
Exploring the limitations in how ChatGPT introduces environmental justice issues in the United States
Understandings of the AI business ecosystem in South Korea
The cost of climate change
Public transit offers urban populations physical accessibility to resources and opportunities. However, at the same time, transit trips often expose users to extreme environmental conditions, such as extreme heat and cold since transit journeys usually include out-of-vehicle trip segments including walking and waiting. Such exposure can be considered as environmental health costs because exposure to weather extremes can lead to adverse health out…
The role of privacy concerns, perceived benefits, and trust in citizens' acceptance of street-view image collection by local planning agencies
Geography (22 obras) · Computer Science (19 obras) · Business (14 obras) · Political science (13 obras) · Sociology (13 obras) · Urban Transport and Accessibility (12 obras) · Psychology (11 obras) · Economics (10 obras) · Medicine (9 obras) · Engineering (8 obras)