Dr Zhaoya Gong PhD

Dr Zhaoya Gong

School of Geography, Earth and Environmental Sciences
Lecturer in Human Geography (Big Data)

Contact details

School of Geography, Earth and Environmental Sciences
University of Birmingham
B15 2TT

Dr Zhaoya Gong is a quantitative human geographer and Geographic Information Scientist. His research interests center on two interwoven themes, namely leveraging computational and data sciences to advance geographic information science, and dynamic processes of urbanisation and complex modalities of spatial structures generated at various scales, as articulated by interactions of land use and transportation/mobility systems, with respect to the social, economic, and environmental sustainability of resulting urban settlements.


  • PhD in Geography and Urban Regional Analysis, University of North Carolina at Charlotte, 2015
  • MA in Geography, University of Toledo, 2008
  • BS in Information Management and Systems, Beijing Forestry University, 2005


  • Year 1 Tutorials


  • Mapping the Midlands


Recent publications


Tao, R, Gong, Z, Ma, Q & Thill, JC 2020, 'Boosting computational effectiveness in big spatial flow data analysis with intelligent data reduction', ISPRS International Journal of Geo-Information, vol. 9, no. 5, 299. https://doi.org/10.3390/ijgi9050299

Chen, Z, Gong, Z, Yang, S, Ma, Q & Kan, C 2020, 'Impact of extreme weather events on urban human flow: A perspective from location-based service data', Computers, Environment and Urban Systems, vol. 83, 101520. https://doi.org/10.1016/j.compenvurbsys.2020.101520

Gong, Z, Cai, T, Thill, J-C, Hale, S & Graham, M 2020, 'Measuring relative opinion from location-based social media: A case study of the 2016 U.S. presidential election', PLoS ONE, vol. 15, no. 5, e0233660. https://doi.org/10.1371/journal.pone.0233660

Pearce, H, Gong, Z, Cai, X & Bloss, W 2020, 'Using routing apps to model real-time road traffic emissions', Weather. https://doi.org/10.1002/wea.3729

Gong, Z, Ma, Q, Kan, C & Qi, Q 2019, 'Classifying street spaces with Street View images for a spatial indicator of urban functions', Sustainability, vol. 11, no. 22, 6424. https://doi.org/10.3390/su11226424

Gong, Z, Thill, J-C & Liu, W 2015, 'ART-P-MAP neural networks modeling of land-use change: accounting for spatial heterogeneity and uncertainty', Geographical Analysis, vol. 47, no. 4, pp. 376-409. https://doi.org/10.1111/gean.12077

Chapter (peer-reviewed)

Gong, Z, Tang, W & Thill, J-C 2017, A Graph-Based Locality-Aware Approach to Scalable Parallel Agent-Based Models of Spatial Interaction. in DA Griffith, Y Chun & DJ Dean (eds), Advances in Geocomputation: Geocomputation 2015--The 13th International Conference. Advances in Geographic Information Science, Springer, pp. 405-423, GeoComputation 2015, Dallas, Texas, United States, 20/05/15. https://doi.org/10.1007/978-3-319-22786-3_36

View all publications in research portal