I am Koichi Ito and am a PhD researcher at Urban Analytics Lab at the National University of Singapore. I am currently working on causal inference and computer vision for active mobility research 🚴.

• 🔭 I'm currently working on my PhD projects, ranging from developing a Python package for street view imagery analysis to causal inference + computer vision
• 👯 I’m looking to collaborate on cool research projects on mobility and machine learning 🔬
• 💬 Ask me about active mobility research and street view imagery analysis
• 📫 How to reach me: koichi19960406@gmail.com
• ℹ️ More information: https://koichiito.com/
• ✅ Check out my Python package for street view imagery analysis: ZenSVI

🔬 Published:

• Ito, K., Terra, R., Costa, M., Siebert, F. W., Garrido-Valenzuela, F., Azevedo, C. L., Biljecki, F., & van Cranenburgh, S. (2026). Perceived traffic safety's impact on cycling route choice with street-level images. Transportation. https://doi.org/10.1007/s11116-026-10793-z

• Ito, K., et al. (2025). ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science. Computers, Environment and Urban Systems, 102283. https://doi.org/10.1016/j.compenvurbsys.2025.102283

• Ito, K., Bansal, P., & Biljecki, F. (2024). Examining the causal impacts of the built environment on active transportation using time-series street view imagery. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2024.104286

• Ito, K., Quintana, M., Han, X., Zimmermann, R., & Biljecki, F. (2024). Translating street view imagery to correct perspectives to enhance bikeability and walkability studies. International Journal of Geographical Information Science. https://doi.org/10.1080/13658816.2024.2391969

• Ito, K., Kang, Y., Zhang, Y., Zhang F., & Biljecki, F. (2024). Understanding Urban Perception with Visual Data: A Systematic Review. Cities, 152, 105169. https://doi.org/10.1016/j.cities.2024.105169

• Fujiwara, K., Ito, K., Ignatius, M., & Biljecki, F. (2024). A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies. Building and Environment, 266, 112071. https://doi.org/10.1016/j.buildenv.2024.112071

• Hou, Y., et al. (Ito, K.) (2024). Global Streetscapes – A comprehensive dataset of millions of street-level images over 700 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing, 215. https://doi.org/10.1016/j.isprsjprs.2024.06.023

• Wang, S., et al. (Ito, K.) (2024). Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review. International Journal of Applied Earth Observations and Geoinformation, 128, 103734. https://doi.org/10.1016/j.jag.2024.103734