activity
20212026
most citedAssessing bikeability with street view imagery and computer vision

214 citations · 241 across the 5 of their papers we have counts for

collaborators

6 papers

cs.HC2026

Uncovering the Associations between Human Big Five Personality Traits and Built Environment Characteristics from Street View Imagery

Koichi Ito, Yuhao Kang, Samuel D Gosling +3

Human-environment interactions, a classic topic in geography, suggest that individuals and their environments might shape each other. Yet the specific mechanisms underlying these i…

cs.CV2026

Examining the Associations between Visual and Non-Visual Elements and Cyclists' Route Choices for Various Trip Purposes

Heyang Hua, Koichi Ito, Filip Biljecki

Understanding cyclist preferences for the characteristics of the built environment is important in promoting sustainable urban transportation and active mobility. Despite previous…

cs.CV2025★ 4 cited

It is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities

Matias Quintana, Fangqi Liu, Jussi Torkko +9

Quantifying and assessing urban greenery is consequential for planning and development, reflecting the everlasting importance of green spaces for multiple climate and well-being di…

cs.CY2025

From Street Form to Spatial Justice: Explaining Urban Exercise Inequality via a Triadic SHAP-Informed Framework

Minwei Zhao, Guosheng Yang, Zhuoni Zhang +3

Urban streets are essential everyday health infrastructure, yet their capacity to support physical activity is unevenly distributed. This study develops a theory-informed and expla…

cs.CV2025★ 23 cited

Global urban visual perception varies across demographics and personalities

Matias Quintana, Youlong Gu, Xiucheng Liang +5

Understanding people's preferences is crucial for urban planning, yet current approaches often combine responses from multi-cultural populations, obscuring demographic differences…

cs.CV2021★ 214 cited

Assessing bikeability with street view imagery and computer vision

Koichi Ito, Filip Biljecki

Studies evaluating bikeability usually compute spatial indicators shaping cycling conditions and conflate them in a quantitative index. Much research involves site visits or conven…