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A shape-based heuristic for the detection of urban block artifacts in street networks | | Martin Fleischmann
; Anastassia Vybornova
; | | Date: |
1 Sep 2023 | | Abstract: | Street networks are ubiquitous components of cities, guiding their
development and enabling movement from place to place; street networks are also
the critical components of many urban analytical methods. However, their graph
representation is often designed primarily for transportation purposes. This
representation is less suitable for other use cases where transportation
networks need to be simplified as a mandatory pre-processing step, e.g., in the
case of morphological analysis, visual navigation, or drone flight routing.
While the urgent demand for automated pre-processing methods comes from various
fields, it is still an unsolved challenge. In this article, we tackle this
challenge by proposing a cheap computational heuristic for the identification
of "face artifacts", i.e., geometries that are enclosed by transportation edges
but do not represent urban blocks. The heuristic is based on combining the
frequency distributions of shape compactness metrics and area measurements of
street network face polygons. We test our method on 131 globally sampled large
cities and show that it successfully identifies face artifacts in 89% of
analyzed cities. Our heuristic of detecting artifacts caused by data being
collected for another purpose is the first step towards an automated street
network simplification workflow. Moreover, the proposed face artifact index
uncovers differences in structural rules guiding the development of cities in
different world regions. | | Source: | arXiv, 2309.00438 | | Services: | Forum | Review | PDF | Favorites | |
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