scispace - formally typeset
Open AccessPosted Content

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

TLDR
In this paper, the authors define axial lines as the least number of individual straight line segments mutually intersected along natural streets that are generated from street center lines using the Gestalt principle of good continuity.
Abstract
Axial lines are defined as the longest visibility lines for representing individual linear spaces in urban environments. The least number of axial lines that cover the free space of an urban environment or the space between buildings constitute what is often called an axial map. This is a fundamental tool in space syntax, a theory developed by Bill Hillier and his colleagues for characterizing the underlying urban morphologies. For a long time, generating axial lines with help of some graphic software has been a tedious manual process that is criticized for being time consuming, subjective, or even arbitrary. In this paper, we redefine axial lines as the least number of individual straight line segments mutually intersected along natural streets that are generated from street center lines using the Gestalt principle of good continuity. Based on this new definition, we develop an automatic solution to generating the newly defined axial lines from street center lines. We apply this solution to six typical street networks (three from North America and three from Europe), and generate a new set of axial lines for analyzing the urban morphologies. Through a comparison study between the new axial lines and the conventional or old axial lines, and between the new axial lines and natural streets, we demonstrate with empirical evidence that the newly defined axial lines are a better alternative in capturing the underlying urban structure. Keywords: Space syntax, street networks, topological analysis, traffic, head/tail division rule

read more

Citations
More filters
Journal ArticleDOI

Urban function connectivity: Characterisation of functional urban streets with social media check-in data

TL;DR: Overall, this research shows that the usage of ubiquitous big social media data can enrich the current description of the urban network system and enhance the predictability of network accessibility on socioeconomic performance.

Network and psychological effects inurban movement

B. Hillier, +1 more
TL;DR: In this paper, it has been shown that urban movement, both vehicle and pedestrian, are shaped far more by the geometrical and topological properties of the grid than by its metric properties, and that the influence of these factors on movement is a cognitive, not network, effect.
Journal ArticleDOI

Street network measures and adults' walking for transport: Application of space syntax

TL;DR: Both intersection density and street integration were significantly associated with WT, after adjusting for each other, and the use of space syntax concepts and methods has the potential to provide novel insights into built-environment influences on walking.
Journal ArticleDOI

Walkability and walking for transport: Characterizing the built environment using space syntax

TL;DR: SSW employs readily-available geographic data, yet is comparable to full walkability in its association with WT, and provides a novel approach to further understanding how urban design influences walking behaviors.
Journal ArticleDOI

Using Space Syntax to Assess the Built Environment for Physical Activity: Applications to Research on Parks and Public Open Spaces

TL;DR: How space syntax can extend previous knowledge regarding associations between the built environment and physical activity with specific applications to research on parks and public open spaces is described.
References
More filters
Journal Article

The magical number seven, plus or minus two: some limits on our capacity for processing information

TL;DR: The theory of information as discussed by the authors provides a yardstick for calibrating our stimulus materials and for measuring the performance of our subjects and provides a quantitative way of getting at some of these questions.
Journal ArticleDOI

Centrality in social networks conceptual clarification

TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.
Journal ArticleDOI

Power-Law Distributions in Empirical Data

TL;DR: This work proposes a principled statistical framework for discerning and quantifying power-law behavior in empirical data by combining maximum-likelihood fitting methods with goodness-of-fit tests based on the Kolmogorov-Smirnov (KS) statistic and likelihood ratios.
Journal ArticleDOI

Algorithms for the reduction of the number of points required to represent a digitized line or its caricature

TL;DR: In this paper, two algorithms to reduce the number of points required to represent the line and, if desired, produce caricatures are presented and compared with the most promising methods so far suggested.
Book

The Social Logic of Space

TL;DR: In this paper, the problem of space and the logic of space is considered in the context of the analysis of settlement layouts and the spatial logic of arrangements. But the analysis is limited to the case of the elementary building and its transformations.
Related Papers (5)