2025
Ki, D. and Chen, Z., What and Where Are the Problems? Revealing Walkability Inequity Using Street View Images and ChatGPT, 65th Annual ACSP Conference, Minneapolis, MN. Oct. 23-25.
Ki, D. What, Where, and When Are the Problems? AI-Assisted Spatial and Temporal Inequity Analysis of Walkability Using Street View Images and ChatGPT. 19th Conference on Computational Urban Planning and Urban Management, London, UK., Jun. 23-27.
Ki, D. and Chen, What and Where Are the Problems? Identifying Detailed Walkability Barriers Using Street View Images and ChatGPT. AI and Cities: An International Forum for Innovation and Collaboration, Online, May. 9-10.
Ki, D. and Chen, Z., Leveraging AI to Identify Walkability Opportunities and Barriers in Minority Neighborhoods: A ChatGPT and Google Street View Approach, 64th Annual Meeting of Western Regional Science Association, Las Vegas, NV. Feb. 12-15.
2024
Ki, D. and Chen, Z., Inclusive Walkability Metric for Minority Neighborhoods: Highlighting the Role of Microscale Environmental Features, 64th Annual ACSP Conference, Seattle, WA. Nov. 7-9.
2022
Ki, D., Lieu, S., Chen, Z., and Lee, S. A Novel Walkability Index Using Google Street View and Deep Learning. 62nd Annual ACSP Conference, Toronto, Canada. Nov. 3-6.
Ki, D. and Chen, Z. Measuring Equity in Neighborhood Walkability in US cities: From the Lens of Micro- and Macro-scale Indices. 16th NECTAR Conference, Toronto, Canada. Jul. 20-22.
2021
Lee, S., Ki, D., Hipp, J. R. and Kim, J. Analyzing the Association between Local Crime Patterns and Street-level Built Environments: Applications of Google Street View and Machine Learning. 61st Annual ACSP Conference, Online, Oct. 23.
2018
Ki, D. and Lee, S. Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea. 8th Asian Seminar in Regional Science, Jeju, South Korea, Sep. 8.Â