Yuhao Kang GISer

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Publications

For a full list of my publications, please refer to my Google Scholar

* I am the corresponding author; Underscored names are the students conducted research under my supervision

My publications can be classified into the following 5 overarching research themes. Several publications may belong to multiple research themes. Please check Research for more detailed information.

Enrich Geospatial Data Science with Human Experience

Keywords: Perception, Emotion, Place-based GIS, Urban Visual Intelligence, Street View, Geotagged Photos, Urban Environment

  1. Kang, Y., Abraham, J., Ceccato, V., Duarte, F., Gao, S., Ljungqvist, L., Zhang, F., Näsman, P. and Ratti, C., 2023. Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden. Landscape and Urban Planning, 236, p.104768. (Best paper in AAG EPBG student paper competition) [PDF]
  2. Kang, Y., Zhang, F., Gao, S., Peng, W. & Ratti, C. (2021). Human settlement value assessment from a place perspective: considering human dynamics and perceptions in house price modeling. Cities. (Best paper in AAG GISS student paper competition) [PDF]
  3. Kang, Y., Zhang, F., Gao, S., Lin, H., & Liu, Y. (2020). A review of urban physical environment sensing using street view imagery in public health studies. Annals of GIS, 26(3), 261-275. (Best paper of Annals of GIS 2020; Most cited paper award of Annals of GIS 2021) [PDF]
  4. Kang, Y., Jia, Q., Gao, S., Zeng, X., Wang, Y., Angsuesser, S., ... & Fei, T. (2019). Extracting human emotions at different places based on facial expressions and spatial clustering analysis. Transactions in GIS, 23(3), 450-480. (Best paper in AAG CyberGIS student paper competition) [PDF]
  5. Kruse, J., Kang, Y., Liu, Y.N., Zhang, F. and Gao, S., (2021). Places for play: Understanding human perception of playability in cities using street view images and deep learning. Computers, Environment and Urban Systems, 90, p.101693. [PDF]
  6. Zhang, F., Fan, Z., Kang, Y., Hu, Y., & Ratti, C. (2021). “Perception bias”: Deciphering a mismatch between urban crime and perception of safety. Landscape and Urban Planning, 207, 104003. [PDF]
  7. Zhang, F., Zu, J., Hu, M., Zhu, D., Kang, Y., Gao, S., ... & Huang, Z. (2020). Uncovering inconspicuous places using social media check-ins and street view images. Computers, Environment and Urban Systems, 81, 101478. [PDF]
  8. Huang, Y., Fei, T., Kwan, M. P., Kang, Y., Li, J., Li, Y., ... & Bian, M. (2020). GIS-Based Emotional Computing: A Review of Quantitative Approaches to Measure the Emotion Layer of Human–Environment Relationships. ISPRS International Journal of Geo-Information, 9(9), 551. [PDF]
  9. Li, Y., Fei, T., Huang, Y., Li, J., Li, X., Zhang, F., Kang, Y., & Wu, G. (2020). Emotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model. International Journal of Geographical Information Science, 1-23. [PDF]
  10. Liu, Z., Yang, A., Gao, M., Jiang, H., Kang, Y., Zhang, F., & Fei, T. (2019). Towards feasibility of photovoltaic road for urban traffic-solar energy estimation using street view image. Journal of Cleaner Production, 228, 303-318. [PDF]
  11. Kang, Y., Zeng, X., Zhang, Z., Wang, Y., & Fei, T. (2018, March). Who are happier? Spatio-temporal Analysis of Worldwide Human Emotion Based on Geo-Crowdsourcing Faces. In 2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS) (pp. 1-8). IEEE. [PDF]
  12. Kang, Y., Wang, J., Wang, Y., Angsuesser, S., & Fei, T. (2017). Mapping the Sensitivity of the Public Emotion to the Movement of Stock Market Value: A Case Study of Manhattan. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 42. [PDF]

Develop Innovative Ethical GeoAI and Cartography Approaches

Keywords: GeoAI, Ethics, Geoprivacy, Cartography, Maps, Virtual Reality (VR)

  1. Kang, Y., Gao, S. and Roth, R.E., 2024. Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics. Cartography and Geographic Information Science, pp.1-32. [PDF]
  2. Kang, Y., Wu, K., Gao, S., Ng, I., Rao, J., Ye, S., Zhang, F. and Fei, T., (2022). STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. International Journal of Geographical Information Science, pp.1-32. [PDF] [Code]
  3. Kang, Y., Gao, S., & Roth, R. E. (2019). Transferring multiscale map styles using generative adversarial networks. International Journal of Cartography, 5(2-3), 115-141. (Top 4 most cited paper in the past 3 years) [PDF]
  4. Rao, J., Gao, S., Kang, Y. and Huang, Q., (2020). LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection. In 11th International Conference on Geographic Information Science (GIScience 2021)-Part I. Schloss Dagstuhl-Leibniz-Zentrum für Informatik. [PDF] [Code]
  5. Gao, S., Rao, J., Liu, X., Kang, Y., Huang, Q., & App, J. (2019). Exploring the effectiveness of geomasking techniques for protecting the geoprivacy of Twitter users. Journal of Spatial Information Science, 2019(19), 105-129. [PDF]
  6. Yue, Y., Ding, J., Kang, Y., Wang, Y., Wu, K., & Fei, T. (2019, November). A location-based social network system integrating mobile augmented reality and user generated content. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising (pp. 1-4). [PDF]
  7. Kang, Y., Wang, Y., Gao, M., Peng, J., Zhang, J., & Fei, T. (2018). 基于虚拟现实技术的电子地图系统设计. Journal of Geomatics, 43(6), 16-18. [PDF]

Support Data-driven Public Health and Governmental Decision-making

Keywords: COVID-19, Health Geography, Map Dashboard, Human Mobility, Policy

  1. Kang, Y., Gao, S., Liang, Y., Li, M., Rao, J., & Kruse, J. (2020). Multiscale dynamic human mobility flow dataset in the US during the COVID-19 epidemic. Scientific Data, 7(1), 1-13. (ESI highly cited paper) [PDF] [Data]
  2. Kang, Y., Zhang, F., Gao, S., Lin, H., & Liu, Y. (2020). A review of urban physical environment sensing using street view imagery in public health studies. Annals of GIS, 26(3), 261-275. (Best paper of Annals of GIS 2020; Most cited paper award of Annals of GIS 2021) [PDF]
  3. Ding, J., Yang, C., Wang, Y., Li, P., Wang, F., Kang, Y., Wang, H., Liang, Z., Zhang, J., Han, P. and Wang, Z., (2023). Influential factors of intercity patient mobility and its network structure in China. Cities, 132, p.103975. [PDF]
  4. Hou, X., Gao, S., Li, Q., Kang, Y., Chen, N., Chen, K., ... & Patz, J. A. (2021). Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race. Proceedings of the National Academy of Sciences, 118(24). [PDF] [Code]
  5. Gao, S., Rao, J., Kang, Y., Liang, Y., Kruse, J., Dopfer, D., ... & Patz, J. A. (2020). Association of Mobile Phone Location Data Indications of Travel and Stay-at-Home Mandates With COVID-19 Infection Rates in the US. JAMA Network Open, 3(9), e2020485-e2020485. (ESI highly cited paper) [PDF]
  6. Gao, S., Rao, J., Kang, Y., Liang, Y., & Kruse, J. (2020). Mapping county-level mobility pattern changes in the United States in response to COVID-19. SIGSPATIAL Special, 12(1), 16-26. [PDF]
  7. Chen, S., Li, Q., Gao, S., Kang, Y., & Shi, X. (2020). State-specific projection of COVID-19 infection in the United States and evaluation of three major control measures. Scientific Reports, 10(1), 1-9. [PDF]
  8. Ma, Y., Zou, G., Shin, J. H., Kang, Y., Gao, S., Siu, K. W. M., & Zhang, S. (2021). Locating Community-Based Comprehensive Service Facilities for Older Adults Using the GIS-NEMA Method in Harbin, China. Journal of Urban Planning and Development, 147(2), 05021010. [PDF]

Modeling Real Estate with Geospatial Data Science

Keywords: House Price, Real Estate, Machine Learning, Deep Learning, Greenery

  1. Kang, Y., Zhang, F., Peng, W., Gao, S., Rao, J., Duarte, F., & Ratti, C. (2020). Understanding house price appreciation using multi-source big geo-data and machine learning. Land Use Policy, 104919. (ESI highly cited paper) [PDF]
  2. Kang, Y., Zhang, F., Gao, S., Peng, W. & Ratti, C. (2021). Human settlement value assessment from a place perspective: considering human dynamics and perceptions in house price modeling. Cities. (Best paper in AAG GISS student paper competition) [PDF]
  3. Yang, J., Rong, H., Kang, Y., Zhang, F., & Chegut, A. (2020). The Financial Impact of Street-Level Greenery on New York Commercial Buildings.  Landscape and Urban Planning. [PDF]

Observing Socio-spatial Inequality with Geospatial Data Science

Keywords: Racial/Social Segregation, Visualization, Community Detection, Policy, Spatial Heterogeneity

  1. Huang, X., Xu, Y., Liu, R., Wang, S., Wang, S., Zhang, M., Kang, Y., Zhang, Z., Gao, S., Zhao, B. and Li, Z., 2022. Exploring the spatial disparity of home‐dwelling time patterns in the USA during the COVID‐19 pandemic via Bayesian inference. Transactions in GIS. [PDF]
  2. Hou, X., Gao, S., Li, Q., Kang, Y., Chen, N., Chen, K., ... & Patz, J. A. (2021). Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race. Proceedings of the National Academy of Sciences, 118(24). [PDF] [Code]
  3. Prestby, T., App, J., Kang, Y., & Gao, S. (2019). Understanding neighborhood isolation through spatial interaction network analysis using location big data. Environment and Planning A: Economy and Space, 0308518X19891911. [PDF]

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