M. Bielik, R. König, S. Schneider, T. Varoudis:
"Measuring the Impact of Street Network Configuration on the Accessibility to People and Walking Attractors";
Networks and Spatial Economics, 1 (2018), 20 S.

A common approach to evaluating the quality of urban environments in terms
of walkability is to measure the accessibility of walking attractors. For this
purpose, the information on street network configuration and distribution of
walking attractors is required. However, in the early planning stages when not
all the necessary data on land use allocation is available, or if the knowledge
about the walkability impact of the pure street network configuration is required,
this approach is of little use. By addressing this deficiency, we developed
method for predicting the accessibility of walking attractors only by using
the information on the street network configuration. This method is based on
the hypothesis that street network configuration influences how people move
through space, and this in turn affects the allocation and accessibility of
walking attractors. We empirically test this hypothesis in a case study of
Weimar, Germany and found that street network configuration alone was significant
and the strongest predictor of AWA. We show how street network
influences the distribution of people in terms of pedestrian movement flows
and that the access to these movement flows is highly correlated to the
neighbourhood walkability. This highlights the importance of urban structure
as an interface for social interaction and suggests the positive effect of social
proximity on the quality of environment.

Street network . Centrality . Accessibility. Walkability.Walk Score

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