Junghwan Kim, PhD, MUP
Assistant Professor, Department of Geography, Virginia Tech
Director, Smart Cities for Good
Research
Featured Peer-reviewed Research Articles
Accessibility of Opioid Treatment Programs Based on Conventional vs Perceived Travel Time Measures
Kim et al. (2024)
JAMA Network Open
Kim et al. (2023)
Telematics and Informatics
Kim & Jang (2023)
Computers, Environment and Urban Systems
Kim & Lee (2023)
Travel Behaviour and Society
Kim & Kwan (2021)
Annals of the American Association of Geographers
Kim & Lee (2023)
Findings
Developing and examining the transit-based accessibility to hospitals of Ulaanbaatar, Mongolia
Kim et al. (2023)
Habitat International
Kim et al. (2022)
Science of the Total Environment
2024
[33] Kim, J*, Kim, D., David-John, B. (2024). The role of privacy concerns, perceived benefits, and trust in citizens' acceptance of street-view image collection by local planning agencies. Cities. https://doi.org/10.1016/j.cities.2024.105339
[32] Kim, J. Lee, J., Thornhill T. [...] Gonsalves, G. (2024). Accessibility of Opioid Treatment Programs Based on Conventional vs Perceived Travel Time Measures. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2024.0209
[31] Kim, J.*, Park, J., Lee., J., & Jang. K. (2024). Examining the socio-spatial patterns of bus shelters with deep learning analysis of street-view images: A case study of 20 cities in the U.S. Cities. https://doi.org/10.1016/j.cities.2024.104852
[30] Kim, J.*, Lee, J., Jang, K., & Lourentzou, I. (2024). Exploring the limitations in how ChatGPT introduces environmental justice issues in the United States: A case study of 3,108 counties. Telematics and Informatics. 102085. https://doi.org/10.1016/j.tele.2023.102085
[29] Kim, J.*, Rapuri, S., Wang, K., Guan, W., & Laituri, M. (2024). A scoping review of COVID-19 research adopting quantitative geographical methods in geography, urban studies, and planning: a text mining approach. Annals of GIS. https://doi.org/10.1080/19475683.2024.2304205 (Undergraduate Students: Rapuri; Wang)
[28] Atkins, C., Girgente, G., Shirzaei, M., & Kim, J.* (2024). Generative AI tools can enhance climate literacy but must be checked for biases and inaccuracies. Communications Earth & Environment. https://doi.org/10.1038/s43247-024-01392-w (Graduate student: Atkins; Undergraduate Student: Girgente)
[27] Gyanwali, S., Karki, S., Jang, K., Crawford, T., Zhang, M., & Kim, J.* (2024). Implications for spatial non-stationarity and the neighborhood effect averaging problem (NEAP) in green inequality research: evidence from three states in the USA. Journal of Geographical Systems. https://doi.org/10.1007/s10109-024-00448-x (Graduate student: Gyanwali; Karki)
[26] Jang, K., Chen, J., Kang, Y., Kim, J., Lee, J., Duare, F., & Ratti, C. Place identity: a generative AI’s perspective. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-024-03645-7
[25] Ahmed, N., Lee, J., Liu, L., Kim, J., Jang, K., & Wang, J. (2024). The cost of climate change: A generalized cost function approach for incorporating extreme weather exposure into public transit accessibility. Computers Environment and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2024.102145
2023
[24] Kim, J. & Jang, K. (2023). An examination of the spatial coverage and temporal variability of Google Street View (GSV) images in small- and medium-sized cities: A people-based approach. Computers, Environment and Urban Systems. 102. https://doi.org/10.1016/j.compenvurbsys.2023.101956
[23] Kim, J.* & Lee, J. (2023). How does ChatGPT introduce transport problems and solutions in North America? Findings, March. https://doi.org/10.32866/001c.72634
[22] Kim, J. & Lee, B. (2023). Campus commute mode choice in a college town: An application of the integrated choice and latent variable (ICLV) model. Travel Behaviour and Society, 30. https://doi.org/10.1016/j.tbs.2022.10.002
[21] Kim, J.*, Rapuri, S., Chuluunbaatar, E., Sumiyasuren, E., Lkhagvasuren, B., Budhathoki, N., & Laituri, M. (2023). Developing and examining the transit-based accessibility to hospitals of Ulaanbaatar, Mongolia, Habitat International, 131. https://doi.org/10.1016/j.habitatint.2022.102729
[20] Lee, J., & Kim, J. (2023). Social equity analysis of public transit accessibility to healthcare might be erroneous when travel time uncertainty impacts are overlooked, Travel Behaviour and Society, 32. https://doi.org/10.1016/j.tbs.2023.100588
[19] Javanmard, R., Lee, J., Kim, J., Lu, L., & Diab, E. (2023). The impacts of the modifiable spatial unit problem (MSUP) on social equity analysis of public transit reliability. Journal of Transport Geography, 106, 103500. https://doi.org/10.1016/j.jtrangeo.2022.103500
[18] Jin, C., Park, S., Ha, H. J., Lee, J., Kim, J., Hutchenreuther, J., & Nara, A. (2023). Predicting households’ residential mobility trajectories with geographically localized interpretable model-agnostic explanation (GLIME). International Journal of Geographical Information Science, 1-23. https://doi.org/10.1080/13658816.2023.2264921
[17] Xu, T., Wang, S., Liu, Q., Kim, J., Zhang, J., Ren, Y., ... & Wu, J. (2023). Vegetation color exposure differences at the community and individual levels: An explanatory framework based on the neighborhood effect averaging problem. Urban Forestry & Urban Greening, 86, 128001. https://doi.org/10.1016/j.ufug.2023.128001
2022
[16] Kim, J.*, Hagen, E., Muindi, Z., Mbonglou, G., & Laituri, M. (2022). An examination of water, sanitation, and hygiene (WASH) accessibility and opportunity in urban informal settlements during the COVID-19 pandemic: Evidence from Nairobi, Kenya. Science of the Total Environment, 823, 153398. https://doi.org/10.1016/j.scitotenv.2022.153398
[15] Wang, J., Kim, J., & Kwan, M-P. (2022). An exploratory assessment of the effectiveness of geomasking methods on privacy protection and analytical accuracy for individual-level geospatial data. Cartography and Geographic Information Science, 49(5), 385-406. https://doi.org/10.1080/15230406.2022.2056510
[14] Kim, Y., Kim, J., Ha, H., Nakajima, N, & Lee, J. (2022). Job accessibility as a lens for understanding the urban structure of colonial cities: A digital humanities study of the colonial Seoul in the 1930s using GIS. ISPRS International Journal of Geo-Information, 11(12), 614, 1-16. https://doi.org/10.3390/ijgi11120614
[13] Singh, S., Javanmard, R., Lee, J., Kim, J., & Diab, E. (2022). Evaluating the accessibility benefits of the new BRT system during the COVID-19 pandemic in Winnipeg, Canada. Journal of Urban Mobility, 2, 100016. https://doi.org/10.1016/j.urbmob.2022.100016
[12] Ha, H. J., Lee, J., Kim, J., & Kim, Y. (2022). Uncovering Inequalities in Food Accessibility between Koreans and Japanese in 1930s Colonial Seoul Using GIS and Open-Source Transport Analytics Tools. Sustainability, 14(19), 11852. https://doi.org/10.3390/su141911852
[11] Laituri, M., Richardson, R., Kim, J., Cline, L., Viscuso, S., & Schwartz, L. Examining second-order impacts of COVID-19 in urban areas. (2022). Annals of GIS, 28(4), 479-490. https://doi.org/10.1080/19475683.2021.1954087
2021
[10] Kim, J., & Kwan, M.-P. (2021). How neighborhood effect averaging might affect assessment of individual exposures to air pollution: A study of ozone exposures in Los Angeles. Annals of the American Association of Geographers, 111(1), 121-140. https://doi.org/10.1080/24694452.2020.1756208
[9] Kim, J., & Kwan, M-P. (2021). Assessment of sociodemographic disparities in environmental exposure might be erroneous due to neighborhood effect averaging: Implications for environmental inequality research. Environmental Research, 195, 110519. https://doi.org/10.1016/j.envres.2020.110519
[8] Kim, J., & Kwan, M-P. (2021). The impact of the COVID-19 pandemic on people’s mobility: A longitudinal study of the U.S. from March to September of 2020, Journal of Transport Geography, 93, 103039. https://doi.org/10.1016/j.jtrangeo.2021.103039
[7] Kim, J., Kwan, M.-P., Levenstein, M. C., & Richardson, D. B. (2021). How do people perceive the disclosure risk of maps? Examining the perceived disclosure risk of maps and its implications for geoprivacy protection. Cartography and Geographic Information Science, 48(1), 2-20. https://doi.org/10.1080/15230406.2020.1794976
[6] Kim, J., & Kwan, M-P. (2021). An examination of people’s privacy concerns, perceptions of social benefits, and acceptance for COVID-19 mitigation measures that harness location information: A comparative study of the U.S. and South Korea. ISPRS International Journal of Geo-Information, 10(1), 25, 1-23. https://doi.org/10.3390/ijgi10010025
[5] Kim, J., & Kwan, M-P. (2021). Travel time errors caused by geomasking might be different between transportation modes and types of urban area. Transactions in GIS, 25(4), 1910-26. https://doi.org/10.1111/tgis.12751
[4] Kim, Y., Lee, J., Kim, J., & Nakajima, N. The disparity in transit travel time between Koreans and Japanese in 1930s Colonial Seoul. (2021). Findings, July. https://doi.org/10.32866/001c.25226
[3] Huang, J., Kwan, M.-P., & Kim, J. (2021). How culture and sociopolitical tensions might influence people’s acceptance of COVID-19 control measures that use individual-level georeferenced data. ISPRS International Journal of Geo-Information, 10(7), 490, 1-19. https://doi.org/10.3390/ijgi10070490
2019
[2] Kim, J., & Lee, B. (2019). More than travel time: New job accessibility index capturing the connectivity of transit services. Journal of Transport Geography, 78, 8-18. https://doi.org/10.1016/j.jtrangeo.2019.05.008
[1] Kim, J., & Kwan, M.-P. (2019). Beyond commuting: Ignoring individuals’ activity-travel patterns may lead to inaccurate assessments of their exposure to traffic congestion. International Journal of Environmental Research and Public Health, 16(1), 1-20. https://doi.org/10.3390/ijerph16010089
Other
Publications
Edited Book
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Laituri, M., Richardson, R., & Kim, J. (2023). The Geographies of COVID-19: Geospatial Stories of a Global Pandemic. Springer. https://doi.org/10.1007/978-3-031-11775-6