Scholar
Koichi Ito
Google Scholar ID: WE_g9_WsIAAC
PhD Candidate, National University of Singapore
Citations & Impact
Citations
1,231
H-index
10
i10-index
10
Publications
13
Co-authors
14
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published several papers on using street view imagery for urban analytics, including a systematic review of street view imagery in urban analytics and GIS studies, and developed a novel method to assess bikeability in Singapore and Tokyo.
Research Experience
- PhD Researcher at the Urban Analytics Lab, National University of Singapore, working on the use of street view imagery in urban analytics and GIS studies, developing a novel method using street view imagery and computer vision. Visiting Researcher at TU Delft, CityAI Lab, The University of Texas at Austin, GISense Lab, and The University of Tokyo, Urban Transportation Research Unit, collaborating on projects related to transportation and urban analytics. Consultant at the World Bank (Poverty and Equity Global Practice), examining the impacts of conflicts on socio-economic indicators in the Central African Republic, building Shiny dashboard apps for project target indicators analysis in Mozambique, Tanzania, and Romania, and designing training on GIS and R for government officials in Tanzania.
Education
- PhD, 2022-Present, National University of Singapore; Master of Urban Planning, 2019-2021, National University of Singapore; BA in Liberal Arts, 2015-2019, Soka University of America.
Background
- Koichi Ito is a PhD candidate at the National University of Singapore with work experience as a consultant at the World Bank Group. He is interested in researching human mobility and human perception using emerging spatial data sources like street-view imagery and machine/deep learning techniques.
Miscellany
- Interests include urban analytics, spatial analysis, and human mobility.
