PUBLICATIONS

[International Journal]

30. Cao, Y., Li, T., Chen, H., Zhao, Q., Sun, J., Grépin, K. A., & Kang, J. Y. (2025). Evaluating geographic accessibility to COVID-19 vaccination across 54 countries/regions. BMJ Global Health, 10(2), e017761. [link]

29. Kim, K., Kang, J. Y., & Hwang, C. (2025). Identifying Indicators Contributing to the Social Vulnerability Index via a Scoping Review. Land, 14(2), 263. [link]

28. Michels, A., Park, J., Kang, J. Y., & Wang, S. (2024). An Areal Approach to Spatial Accessibility Analysis. Geographical Analysis. [link]

27. Michels, A. C., Park, J., Kang, J. Y., & Wang, S. (2024). SPASTC: a Spatial Partitioning Algorithm for Scalable Travel-time Computation. International Journal of Geographical Information Science, 1-22. [link]

26. Ashraf, K., Lee, K., Kim, G., & Kang, J. Y. (2024). Sales in Commercial Alleys and Their Association with Air Pollution: Case Study in South Korea. Sustainability, 16(2), 530. [link]

25. Jang, Jina., Kim, Seohyeon., & Seong, Jeong. (2023). Modeling the Impact of Ocean Temperature Increases on the Distribution of Seagrasses around the Korean Peninsula Using a Machine Learning Technique. The Geographical Bulletin: 64(2), 142-150 [link]

24. Kang, J. Y., Jung, J., & Kim, K. (2023). COVID-19 Vaccine Rollout Plans Should Consider Spatial Distribution of Age-Specific Population. The Professional Geographer, 75(6), 1034-1044. [link]

23. Han, S. Y., Kang, J. Y., Lyu, F., Baig, F., Park, J., Smilovsky, D., & Wang, S. (2023). A cyberGIS approach to exploring neighborhood‐level social vulnerability for disaster risk management. Transactions in GIS, 27(7), 1942-1958. [link]

23. Kang, J. Y., Wong, S., Park, J., Lee, J., & Aldstadt, J. (2023). Exploring Spatial Mismatch between Primary Care and Older Populations in an Aging Country: A Case Study of South Korea. ISPRS International Journal of Geo-Information, 12(7), 255. [link]

22. Michels, A., Park, J., Li, B., Kang, J. Y., & Wang, S. (2023). Impacts of Catchments Derived from Fine-Grained Mobility Data on Spatial Accessibility (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Schloss Dagstuhl-Leibniz-Zentrum für Informatik. [link]

21. Kim, J. S., Anderson, T., Shashidharan, A., & Kang, J. Y. (2022). GeoSim 2021 Workshop Report: The 4th ACM SIGSPATIAL International Workshop on Geospatial Simulation. SIGSPATIAL Special, 13(3), 6-8. [link]

20. Hong, S. Y., Moon, S., Chi, S. H., Cho, Y. J., & Kang, J. Y. (2022). Local Sparse Principal Component Analysis for Exploring the Spatial Distribution of Social Infrastructure. Land, 11(11), 2034. [link]

19. Kang, J. Y., Farkhad, B. F., Chan, M. P. S., Michels, A., Albarracin, D., & Wang, S. (2022). Spatial accessibility to HIV testing, treatment, and prevention services in Illinois and Chicago, USA. Plos one, 17(7), e0270404. [link]

18. Park, J., Kang, J. Y., Goldberg, D. W., & Hammond, T. A. (2022). Leveraging temporal changes of spatial accessibility measurements for better policy implications: A case study of electric vehicle (EV) charging stations in Seoul, South Korea. International Journal of Geographical Information Science, 36(6), 1185-1204. [link]

17. Kang, J. Y., & Lee, S. (2022). Exploring food deserts in Seoul, South Korea during the COVID-19 pandemic (from 2019 to 2021). Sustainability, 14(9), 5210. [link]

16. Michels, A., Kang, J. Y., & Wang, S. (2022). Particle Swarm Optimization for Calibration in Spatially Explicit Agent-Based Modeling. Journal of Artificial Societies and Social Simulation, 25(2). [link]

15. Kang, J. Y., Michels, A., Crooks, A., Aldstadt, J., & Wang, S. (2022). An integrated framework of global sensitivity analysis and calibration for spatially explicit agent‐based models. Transactions in GIS, 26(1), 100-128. [link]

14. Kang, J. Y., & Aldstadt, J. (2021). Using multiple scale space-time patterns to determine the number of replicates and burn-in periods in spatially explicit agent-based modeling of vector-Borne disease transmission. ISPRS International Journal of Geo-Information, 10(9), 604. [link]

13. Lyu, F., Kang, J. Y., Wang, S., Han, S. Y., Li, Z., & Wang, S. (2021). Multi-scale CyberGIS analytics for detecting spatiotemporal patterns of COVID-19. Mapping COVID-19 in Space and Time: Understanding the Spatial and Temporal Dynamics of a Global Pandemic, 217-232.

12. Kang, J. Y., Michels, A., Lyu, F., Wang, S., Agbodo, N., Freeman, V. L., & Wang, S. (2020). Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA. International journal of health geographics, 19, 1-17. [link]

11. Michels, A., Kang, J. Y., & Wang, S. (2020, November). An exploration of the effect of buyer preference and market composition on the rent gradient using the ALMA framework. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation (pp. 48-51). [link]

10. Kang, J. Y., Aldstadt, J., Vandewalle, R., Yin, D., & Wang, S. (2020). A CyberGIS approach to spatiotemporally explicit uncertainty and global sensitivity analysis for agent-based modeling of vector-borne disease transmission. Annals of the American Association of Geographers, 110(6), 1855-1873. [link]

9. Kang, J. Y., Aldstadt, J., Michels, A., Vandewalle, R., & Wang, S. (2019, November). CyberGIS-Jupyter for spatially explicit agent-based modeling: a case study on influenza transmission. In Proceedings of the 2nd ACM SIGSPATIAL international workshop on geospatial simulation (pp. 32-35). [link]

8. Vandewalle, R., Kang, J. Y., Yin, D., & Wang, S. (2019, November). Integrating CyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time. In proceedings of the 2nd ACM SIGSPATIAL international workshop on GeoSpatial simulation (pp. 28-31). [link]

7. Kang, J. Y., & Aldstadt, J. (2019). Examining time‐dependent effects of water, sanitation, and hygiene (WASH) interventions using an agent‐based model. Tropical Medicine & International Health, 24(8), 962-971. [link]

6. Kang, J. Y., & Aldstadt, J. (2019). Using multiple scale space-time patterns in variance-based global sensitivity analysis for spatially explicit agent-based models. Computers, environment and urban systems, 75, 170-183. [link]

5. Kang, J. Y., & Aldstadt, J. (2019). Using multiple scale spatio-temporal patterns for validating spatially explicit agent-based models. International Journal of Geographical Information Science, 33(1), 193-213. [link]

4. Kang, J. Y. (2018). Pattern-Oriented Validation and Sensitivity Analysis Methods for Spatially Explicit Agent-Based Models (Doctoral dissertation, State University of New York at Buffalo). [link]

3. Kang, J. Y., & Aldstadt, J. (2017). The influence of spatial configuration of residential area and vector populations on dengue incidence patterns in an individual-level transmission model. International Journal of Environmental Research and Public Health, 14(7), 792. [link]

2. Kang, J. Y., Choi, J., & Bittner, T. (2016). An Ontology-based Geospatial Database for Identifying Geographical Change. Advancing Geographic Information Science: The Past and Next Twenty Years, 293. [link]

1. Cho, S., Kang, J. Y., Knapen, L., Bellemans, T., Janssens, D., Wets, G., & Hwang, C. S. (2013). An activity-based carpooling microsimulation using ontology. Procedia Computer Science, 19, 48-55. [link]

[Domestic Journal]

15. 정희지 & 강전영. (2024). 영유아 및 소아 의료 인프라의 공간적 접근성에 대한 시간적 불균형 탐색: 서울특별시의 평일 주간, 평일 야간, 주말을 대상으로. 한국지도학회지, 24(3), 61-73 [link]

14. 정난주 & 강전영. (2024). 2SFCA를 활용한 노인과 소아청소년에 대한 병원 접근성 분석: 강원도 춘천시를 사례로. 지적과 국토정보, 54(1), 49-61. [link]

13. 김수빈, 이승연, 김민주, 이창규, & 강전영. (2024). 에이전트 기반 모델링을 활용한 소아· 청소년 의료 서비스 취약지 분석-서울 서남권 4 개 자치구를 대상으로. 대한지리학회지, 59(2), 196-209.

12. 강전영, 신혜섭, & 최문기. (2024). 공간 시뮬레이션 모델(Geosimulation Model)과 활용 분야 - 질병 및 보건, 재해 대피, 도시 교통 -, 대한지리학회지, 59(3), 417-430.

11. 임희수, 백서현, 고유진, 정난주, & 최진무. (2023). Landsat-8 위성영상을 활용한 쿨링포그 최적입지 선정. 한국지역지리학회지, 29(1), 107-116. [link]

10. 강전영, 김민준, & 이원도. (2023). 생성형 인공지능 서비스로 살펴본 지방소멸 위기 대응과 한계점: ChatGPT 와 Bard 를 활용하여. 국토지리학회지, 57(4), 477-490. [link]

9. 강전영, 황태건, 조서림, 김민준, 김강민, 원석환, & 손선민. (2023). 사용자 참여형 지리정보를 기반으로 한 사물주소 부여 대상 시설물의 우선 선정 방안 제안: 증강현실 게임, 포켓몬 고를 활용하여. 한국지도학회지, 23(2), 49-60. [link]

8. 김민준, 이창규, 이상원, 강전영, & 최진무. (2023). 인구감소와 고령화에 따른 노인 자연재난 위험지역 탐지 및 재난대응력 측정. Journal of Korean Society for Geospatial Information Science. 31(2). 24-34. [link]

7. 이원도, 윤소연, & 강전영. (2022). 재현성과 반복가능성이 고려된 지역활력 대시보드 개발. 한국지도학회지, 22(3), 89-100. [link]

6. 강전영, & 황철수. (2022). GIS 및 공간 분석 연구의 재현성 (Reproducibility) 및 반복가능성 (Replicability)-대한지리학회지를 사례로. 대한지리학회지, 57(5), 425-435. [link]

5. 김민준, & 강전영. (2022). 서울시의 도시홍수 관련 임시대피시설의 공간적 분포 탐색. 국토지리학회지, 56(3), 235-244. [link]

4. 강전영, & 문준혁. (2022). 마이크로 모빌리티의 시･ 공간 이용 패턴 분석: 경기도 고양시의 공공자전거를 사례로. 한국지리학회지, 11(1), 157-168. [link]

3. 강전영, & 박진우. (2021). 코로나-19 상설선별진료소 및 임시선별검사소의 공간적 접근성 분석-서울시를 사례로. 대한지리학회지, 56(2), 231-244. [link]

2. 박진우, 최문기, & 강전영. (2021). 코로나-19 팬데믹 시대의 사회적 거리두기 단계에 따른 대규모 스포츠 경기장 좌석 배치의 공간적 최적화. 대한지리학회지, 56(1), 53-66. [link]

1. 강전영, & 황철수. (2013). 연안정보의 지오-온톨로지 적용에 관한 연구[A Study on Geo-Ontological Application of Coastal Information]. 대한지리학회지, 48(1), 112-127. [link]