Yi-Kai Juan
Professor
- Website https://rik039.wixsite.com/idem
- Phone:886-2-2737-6658
- Research Room:RB-704
- E-mail:rik@mail.ntust.edu.tw
Education
- Ph.D, National Taiwan University of Science and Technology
- Visiting Scholar at Stanford University
- Post-doctoral research fellow at Georgia Institute of Technology
- Visiting Professor at the School of Economics and Management, Tongji University, Shanghai
- Summer Lecture Professor at the School of Architecture, Harbin Institute of Technology
Research field
- Behavioral Analysis in Built Environments
- Data Science in A/E/C Industries
- Environmental Perception Behaviors
- Marketing Research in A/E/C Industries
- Design Thinking and Cross-domain Design
- Circular Economy
Courses:
- Construction Management
- Research Methods in A/E/C Industries
- Special Topics on Building Management
- Design Thinking and Practices
- Building Industry Analysis
- Investigation and Analysis of Architecture Environment
- Data Science in Architecture Industries
Publications
- Juan Y.K.*, and Hsu Y.C. (2022). Application of association rules and artificial neural network to predict the urban development of regional revitalization. Accepted by Journal of Urban Planning and Development (ASCE). (SSCI)
- Juan Y.K.*, and Lin W.H. (2022). The relationship between residential burglaries and urban environments in Taipei City: a data mining approach. Accepted by International Journal of Urban Sciences. (SSCI)
- Juan Y.K.*, and Lee P.H. (2022). Applying data mining techniques to explore technology adoptions, grades and costs of green building projects. Journal of Building Engineering, 45, 103669. (SCI)
- Juan Y.K.*, and Liou L.E. (2022). Predicting the schedule and cost performance in public school building projects in Taiwan. Journal of Civil Engineering and Management, 28(1), 51-67. (SCI)
- Jin Z.K., and Juan Y.K.* (2021). Is Fengshui a science or superstition? A new approach combining the physiological and psychological measurement of indoor environments. Building and Environment, 201(15), 107992. (SCI)
- Lu H.M., and Juan Y.K.* (2021). Applying the DQI-based Kano Model and QFD to Develop Design Strategies for Visitor Centers in National Parks. Accepted by Architectural Engineering and Design Management. (SCI)
- Xu Y.Q., and Juan Y.K.* (2021). Design strategies for multi-unit residential buildings during the post-pandemic era in China. Frontiers in Public Health, 9, 761614. (SCI)
- Xu Y.Q., and Juan Y.K.* (2021). Optimal decision-making model for outdoor environment renovation of old residential communities based on WELL Community Standards in China. Accepted by Architectural Engineering and Design Management. (SCI)
- Juan Y.K.*, Hsu Y.C., and Chang Y.P. (2021). Site selection assessment of vacant campus space transforming into daily care centers for the aged. International Journal of Strategic Property Management, 25(1), 34-49. (SSCI)
- Juan Y.K., Chi H.Y.*, and Chen H.H (2021). Virtual Reality-based decision support model for interior design and decoration of an office building. Engineering, Construction and Architectural Management, 28(1), 229-245. (SCI)
- Juan Y.K., Lin I.C., and Tsai J.X. (2019). A Hybrid Approach to Optimize Initial Design Strategies for Pre-sale Housing Projects. Engineering, Construction and Architectural Management, 26(3), 515-534. (SCI)
- Juan Y.K.*, Hsing N.P., and Hsu Y.H. (2019). Applying the Kano two-dimensional model and quality function deployment to develop sustainable planning strategies for public housing in Taiwan. Journal of Housing and the Built Environment, 34(1), 265-282. (SCI)
- Juan Y.K., Hsu Y.H.*, and Xie X.Y. (2017). Identifying customer behavioral factors and price premiums of green building purchasing. Industrial Marketing Management, 64, 36-43. (SSCI)
- Juan Y.K., Lai W.Y.*, and Shih S.G. (2017). Building Information Modeling Acceptance and Readiness Assessment in Taiwanese Architectural Firms. Journal of Civil Engineering and Management, 23(3), 356-367. (SCI)
- Chen C.J., Juan Y.K.*, and Hsu Y.H. (2017). Developing a systematic approach to evaluate and predict building service life. Journal of Civil Engineering and Management, 23(7), 890-901. (SCI)