Urbanie & Urbanus

Seeing Visitor Behaviours in Tourist Plazas with Computer Vision and Space Syntax

Zhuoyan Li

Department of Urban Planning and Design, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China

and  Xintong Lyu

Department of Urban Planning and Design, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China

and  Waishan Qiu

Department of Urban Planning and Design, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China

Figures

Figure 1. Study Area


Figure 2. Workflow for Pedestrian Trajectory Data


Figure 3. Workflow Setup: The Impact of the Three Independent Variables on Pedestrian Trajectories


Figure 4. Venice Piazza Santa Maria Video


Figure 5. Macau Senado Square Video


Figure 6. New York Times Square Video


Figure 7. Venice Piazza Santa Maria Master Plan


Figure 8. Macau Senado Square Master Plan


Figure 9. New York Times Square Master Plan


Figure 10. Comparison of Isovist Areas for the Three Types of Squares


Figure 11. Closed Type Square: Pedestrian Behaviour Analysis


Figure 12. Nuclear Type Square: Pedestrian Behaviour Analysis


Figure 13. Amorphous Type Square: Pedestrian Behaviour Analysis


Figure 14. Closed-type Square: Analysis of Pedestrian Trajectories at Different Times of Day


Figure 15. Nuclear Type Square: Analysis of Pedestrian Trajectories at Different Times of Day


Figure 16. Amorphous Type Square: Analysis of Pedestrian Trajectories at Different Times of Day


Figure 17. Closed Type Square: Impact of Isovist Area, POIs and Facility Distances on Trajectories


Figure 18. Nuclear Type Square: Impact of Isovist Area, POIs and Facility Distances on Trajectories


Figure 19. Amorphous Type Square: Impact of Isovist Area, POIs and Facility Distances on Trajectories


Figure 20. Summary


Table 1. Literature Review


Table 2. Data Sources and Variables


Table 3. Impact of Isovist Area, POIs and Facility Distances on Pedestrian Trajectories