A study on pedestrian movement done in Tel-Aviv.
morphological and functional attributes of the built environment and their affect on pedestrian distribution
11. Research Question
Which attributes of the built environment correlate
with the volume of pedestrian movement in two
adjacent areas in the center of Tel-Aviv?
13. Research Area
East of Ibn-Gvirol street vs. west of Ibn-Gvirol street
Research area boundary
Sub areas boundary
14. Methodology
Dependent variable: pedestrian counts
Independent variables: built environment
attributes
Positivist methodology based on non-intrusive
observations
Looking for statistical correlations between the
independent variables and the dependent
variable
16. Two dimensions of the built
environment
Spatial-physical dimension
The basis of the urban form
Extremely durable and rarely modified
Functional dimension
The content that fills the form
Relatively fast changes
17. Spatial-Physical Variables
Space syntax measures
Connectivity by street name
Pavement width
Road crossing difficulty
Intersection density
18. Functional Variables
Commercial fronts
Residential density
Proximity to bus stations
19. Space Syntax Measures
Use of DepthMap software based upon axial lines
analysis:
Connectivity
Control
Integration
- Global Integration – Mean distance from the entire street network
- Local Integration – Mean distance from nearby streets
20. A Comment about Mapping
Fixed the street network according to
pedestrian routes
Boulevards
Squares
30. Pedestrian Count Points
95 count points
51 street segments
24 western segments
24 eastern segments
3 border segments
Count method:
5 minutes at each point
5 counts at each point
(once per hour for 5
hours)
33. Findings
Four correlated variables in descending order:
R squared 0.83
1. Connectivity by street name
2. Total commercial front
3. Residential density in subzone
4. Proximity to bus stations
34. Findings – Western Area
One correlated variable
Connectivity by street name
R squared 0.82
R squared 0.88 without boulevards and squares
35. Findings – Eastern Area
Three correlated variables:
R squared 0.86
1. Total commercial front
2. Space syntax connectivity
3. Space syntax control
36. Findings – Eastern Area (Cont’)
Without the squares (Kikar Hamdina)
Three correlated variables:
R squared 0.9
1. Connectivity by street name
2. Space syntax global int.
3. Total commercial front
37. Summary
In most cases the spatial-physical structure has
greater correlation than the functional structure
with pedestrian movement
There are major differences between the
western and eastern areas correlations
Connectivity by street name correlated better
than space syntax variables
The large square in the eastern side changes
the correlation model significantly