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Tag Archives: Space Syntax; Bill Hillier

Pedestrian Movement and the Built Environment in One Simple Diagram

28 Wednesday Oct 2015

Posted by Lerman in Academia, Israel, Land-Use, Tel Aviv, Transportation

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Space Syntax; Bill Hillier

Following the previous post which discussed actual observed pedestrian movement and commercial streets in Tel Aviv, we now turn to the major theoretical contribution we made in our last paper regarding the connection between the built environment and pedestrian movement.

In order to understand the connection between pedestrians and urban environment we have quantified a lot of built environment features. Those variables were divided into four different dimensions:

  1. A spatial dimension. This dimension is related to the structure of the road network, meaning the basic urban space mainly consisting of streets and squares. This dimension of the built environment is relatively stable and does not change. Various studies have already shown the importance of the street network configuration to pedestrian movement as well as other urban dynamics.
  2. A functional dimension. This dimension relates to land use and we included in it the distribution of retail fronts and proximity to public transit.
  3. A physical dimension. This dimension is related to actual street sections, meaning the width of the sidewalk and carriageway, which determines how easily a pedestrian can cross a street.
  4. A demographic dimension. This dimension is related to residential and employment densities.

While conducting this study I have spent numerous hours doing field surveys to map all kinds of missing data. Specifically, retail fronts locations as well as road and pavement widths are not easy to come by. As the age of Big and Open Data is fast approaching I hope that more types of data will be collected on a regular basis, leaving us with more time for analysis. After we have collected all the quantitative data we ran endless statistical correlations to better understand how the built environment and movement are tied together. The conclusions below are derived from the statistical connections we found.

Our study draws heavily on space syntax theory, which emphasizes the dominance of the street network structure on various urban dynamics. One of the best known papers in this field deals with the connection between urban space and pedesrtian movement. This paper from 1993, written by Bill Hillier and others describes the natural movement of people in urban space and connects movement, land use and street network structure.

Hillier offers the following diagram as a description of the interaction between movement and the spatial and functional dimensions. Hillier presents the argument that the spatial configuration is the basis of urban processes. He shows that the configuration can impact both movement and land use, but land use and movement cannot impact the spatial configuration. Movement and land use have a reciprocal connection, meaning that movement may induce retail development and that retail may in turn impact movement in its area. In the diagram below movement is marked with M, retail is marked with A (for attraction) and street network is marked with C (for configuration):

Hillier et al. (1993) pedestrian movement diagram

Original Hillier

Our findings are in line with Hillier’s diagram. Our theoretical contribution is an extension of Hillier’s diagram to include the physical dimension and add the urban area type (traditional vs.contemporary) as the basis of the generation of urban space itself.  The physical dimension was found to be impacted by the configuration and to have an impact on movement (similar to the functional dimension). Essentially, sidewalk width may change due to people movement and in turn change the movement pattern. In the diagram below you can see Hillier’s original triangle to the right and at the the top is the urban area type which impacts all the urban environment dimensions.

Lerman and Omer (2016) pedestrian movement diagram

DiagramForBlog

The next post will deal with specific finding and the struggle to find the best movement model for every city.

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