Automatic Generation of the Axial Lines of Urban Environments to Capture What We Perceive

by   Xintao Liu, et al.

Based on the concepts of isovists and medial axes, we developed a set of algorithms that can automatically generate axial lines for representing individual linearly stretched parts of open space of an urban environment. Open space is the space between buildings, where people can freely move around. The generation of the axial lines has been a key aspect of space syntax research, conventionally relying on hand-drawn axial lines of an urban environment, often called axial map, for urban morphological analysis. Although various attempts have been made towards an automatic solution, few of them can produce the axial map that consists of the least number of longest visibility lines, and none of them really works for different urban environments. Our algorithms provide a better solution than existing ones. Throughout this paper, we have also argued and demonstrated that the axial lines constitute a true skeleton, superior to medial axes, in capturing what we perceive about the urban environment. Keywords: Visibility, space syntax, topological analysis, medial axes, axial lines, isovists



There are no comments yet.



Defining and Generating Axial Lines from Street Center Lines for better Understanding of Urban Morphologies

Axial lines are defined as the longest visibility lines for representing...

A rigorous definition of axial lines: ridges on isovist fields

We suggest that 'axial lines' defined by (Hillier and Hanson, 1984) as l...

Adding Visibility to Visibility Graphs: Weighting Visibility Analysis with Attenuation Coefficients

Evaluating the built environment based on visibility has been long used ...

Urban volumetrics: spatial complexity and wayfinding, extending space syntax to three dimensional space

Wayfinding behavior and pedestrian movement pattern research relies on o...

Analysis of the use of smart cards on the urban railway

The article analyzes the patterns of use of railway stations in the Mosc...

Statistical Approximations of LOS/NLOS Probability in Urban Environment

Analysis of line-of-sight and non-line-of-sight (LOS/NLOS) visibility co...

A perception centred self-driving system without HD Maps

This paper proposes a new self-driving system to solve the localization ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.