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Autoři/Authors

Martin Fleischmann

Anastassia Vybornova

Kategorie/Category

WoS a SCOPUS

Rok publikace/Published

2024

Název publikace/Name

A shape-based heuristic for the detection of urban block artifacts in street networks

Citace/Citation

Fleischmann, M., and Vybornova, A., ‘A shape-based heuristic for the detection of urban block artifacts in street networks’ Journal of Spatial Information Science 28. doi:10.5311/JOSIS.2024.28.319

Abstrakt/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 met-rics 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 work-flow. Moreover, the proposed face artifact index uncovers differences in structural rules guiding the development of cities in different world regions.

URRlab


Urbánní a regionální laboratoř

Katedra sociální geografie
a regionálního rozvoje

Univerzita Karlova
Přírodovědecká fakulta

Kontakt


Albertov 2038/6
128 43 Praha 2 - Nové Město

Kontaktní osoba
Jiří Nemeškal
jiri.nemeskal@natur.cuni.cz
211 951 972


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