This study examines street perceptions by exploring the relationship between visual attractiveness and attention-seeking elements in the built environment, emphasizing pedestrian comfort, safety, and decision-making in route selection. It introduces a matrix to measure urban perceptual quality specifically for pedestrian users, combining real-world data with immersive virtual simulations to assess how well streets meet pedestrian needs. The study begins by collecting real-world urban perceptual data through eye-tracking technology. Participants navigate a downtown suburban area while wearing eye-tracking glasses, and their gaze patterns are analyzed using time of interest (TOI) and area of interest (AOI) metrics. Heat maps and gaze plots reveal key attraction points at intersections, public plazas, and pedestrian walkways. This data is then integrated into a perceptual quality matrix that evaluates how these visual cues influence pedestrian comfort and safety. To deepen the analysis, the same environment is recreated in an immersive CAVE-like virtual environment, where local laypeople engage in participatory navigation tasks. Participants ‘ virtual perceptual data is recorded while moving, reacting, and interacting with similar urban social events as in the real world. This allows for an enhanced understanding of urban design alterations and their impact on the pedestrian experience. The virtual simulation provides a dynamic platform to test design modifications and assess how they influence attention and decision-making. The findings of this study offer urban designers and policymakers valuable insights into creating streets that enhance visual appeal and foster safer and more comfortable pedestrian environments. The framework also demonstrates how advanced virtual instruments, such as immersive environments, can be integrated into the co-design decision-making process, offering a practical approach for evaluating and improving urban design before implementation.
Mahzerin Sultana is a MSc student at North Carolina A&T State University, with a B.Arch from Chittagong University of Engineering and Technology. With three years of experience in architecture, She currently serve as a Research Assistant and Teaching Assistant in the Civil Engineering department at NCAT. Her focus is on computational architecture, where she integrate advanced technologies into design processes.
Dr. Shuva Chowdhury is an architect, educator, and researcher advancing architectural design through AI, digital twins, and remote co-design. Founder of the Digital Urban Research and Innovation (DURI) lab, he integrates computational tools for stakeholder participation in urban design. His Ph.D. from Victoria University of Wellington focused on virtual environments for collaborative urban design. Dr. Chowdhury’s work has gained recognition from the World Architecture Community, UN-Women, and the Institute of Architects Bangladesh. His publications include award-winning research on virtual city design and contributions to Frontiers in Virtual Reality on metaverse applications in urban planning.