"Lu Huang,Takuya Oki","Enhancing peoplefs walking preferences in street design through generative artificial intelligence and crowdsourcing surveys: The case of Tokyo",,"Environment and Planning B: Urban Analytics and City Science","Sage Journals",,,,2025,Mar.
"Lu Huang","Toward an Evidence-Based Walkable Street Design: A Systematic and Automatic Approach for Street-Level Walkability Reflecting People's Perceptions and Preferences",,,,,,,2024,Sept.
"Lu Huang","Toward an Evidence-Based Walkable Street Design: A Systematic and Automatic Approach for Street-Level Walkability Reflecting People's Perceptions and Preferences",,,,,,,2024,Sept.
"Lu Huang","Toward an Evidence-Based Walkable Street Design: A Systematic and Automatic Approach for Street-Level Walkability Reflecting People's Perceptions and Preferences",,,,,,,2024,Sept.
"Lu Huang,Takuya Oki,Sachio Muto,Yoshiki Ogawa","Unveiling the Non-Linear Influence of Eye-Level Streetscape Factors on Walking Preference: Evidence from Tokyo",,"ISPRS International Journal of Geo-Information",,"Vol. 13","No. 4","pp. 1 - 27",2024,Apr.
"Takuya OKI,Lu HUANG","Evidence-Based Walkability Design  at Eye-Level using AI and Big Data","CREI International Forum",,,,,,2024,Mar.
"LU HUANG,TAKUYA OKI,SACHIO MUTO,YOSHIKI OGAWA","Capturing Walking-related Perceptions and Willingness within Tokyo's Station Areas: Leveraging Crowd-sourced Methods and AI Approach","International Association of Geo-informatics (IAG'i) 2023","Papers and Proceedings of the Geographic Information Systems Association",,"Vol. 32",,,2023,Oct.
"Lu Huang,Takuya Oki,Sachio Muto,Hongjik Kim,Yoshiki Ogawa,Yoshihide Sekimoto","Automatic Evaluation of Street-Level Walkability Based on Computer Vision Techniques and Urban Big Data:  A Case Study of Kowloon West, Hong Kong","The 18th International Conference on Computational Urban Planning and Urban Management (CUPUM)","Intelligence for Future Cities Planning Through Big Data and Urban Analytics","Springer, Cham.",,,"pp. 231?259",2023,June