Human activities on street spaces are affected by both physical and non-physical settings on streets. These two aspects are primarily impacted by land use which results in the uneven distribution of different activities on streets. This research investigates land use patterns and their characteristics in association to user’s behaviors. By using mixed qualitative and quantitative research methods, e.g., place-centered behavioral map, observation, visual encounter surveys, machine learning, the relationship between user’s behavior and land use characteristics along the street is unveiled. All user behaviors along both types of streets were classified into six main categories, with 26 subcategories. The observation results show that the residential use of land along the street was transformed into the commercial use for various types of shophouses based on the resident’s ideas. There is a great correlation between land use and user’s activities. These findings give support to authorities to manage urban streets and develop a sustainable policy for improving street spaces. Further, this research contributes useful information to urban designers and planners in creating a successful street space that is appropriate for the Vietnam Community.