Jang, K. M., Suh, H., Haddad, F. G., Sun, M., Duarte, F., & Kim, Y. (2024). Urban street clusters: unraveling the associations of street characteristics on urban vibrancy dynamics in age, time, and day. Urban Informatics, 3(1), 27.

Introduction
- Understanding urban vibrancy is vital to promoting human activities or interactions in public open space
- Streets are the center stage of human activities
- This study describes the scale, function, and topology of street segments in Seoul
- Investigate street typology characteristics are associated with urban vibrancy with age, time, day types
Data and method
- Street networks of two districts, Jung-gu and Gangnam-gu
- K-prototypes algorithm by Z. Huang (1998) for clustering with mixed attributes
- Cluster-based regression
Result:
- Varying relationships between street characteristics with age, time, day vibrancy

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so helpful