The preponderance of evidence suggests that communities with denser and more connected street networks and a higher degree of mixed land uses results in fewer vehicle kilometers traveled (VKT). However, there is less agreement on the size of the effect. Also, there is no clear understanding of the specific aspects of community design—such as street networks and land use mix—that are most import...

We propose a novel model of street network connectivity which uses method from the field applied topology called “persistent homology”. The output this is pair density functions relative strength and frequency connected components cycles in network. In context, function type, such as motorway or residential, with more significant types providing greater connectivity. are easily interpreted prov...

The authors propose a topological analysis of large urban street networks based on a computational and functional graph representation. This representation gives a functional view in which vertices represent named streets and edges represent street intersections. A range of graph measures, including street connectivity, average path length, and clustering coefficient, are computed for structura...

This paper proposes a novel generalisation model for selecting characteristic streets in an urban street network. This model retains the central structure of a street network. It relies on a structural representation of a street network using graph principles where vertices represent named streets and links represent street intersections. Based on this representation, so-called connectivity gra...

People familiar with an urban environment share common spatial knowledge enabling, for instance, successful communication about places and routes. Mental representations of this spatial knowledge, as well as reasoning and communication processes are organized hierarchically. This paper introduces a hierarchical model of urban street networks motivated by shared experience of space. This model i...

OBJECTIVES We estimated associations between objectively determined neighbourhood 'walkability' attributes and accelerometer-derived sedentary time (ST) by sex, city or type of day. DESIGN A cross-sectional study. SETTING The URBAN (Understanding the Relationship between Activity and Neighbourhoods) study was conducted in 48 neighbourhoods across four cities in New Zealand (August 2008 to O...

Previous studies of the influence of topological qualities of urban street network on the image of the city are based mainly on centrality and connectivity measures taken from graph theory. The paper suggests instead a multi-perspective approach combining graph theory and Q-analysis. Although Q-analysis shares some similarity with graph theory, it enables us to deal with a multidimensional chai...

A growing body of health and policy research suggests residential neighborhood density and street connectivity affect walking and total physical activity, both of which are important risk factors for obesity and related chronic diseases. The authors report results from their methodologically novel Twin Cities Walking Study; a multilevel study which examined the relationship between built enviro...

This paper proposes a novel generalisation model for selecting characteristic streets in an urban street network. This model retains the central structure of a street network, it relies on a structural representation of a street network using graph principles where vertices represent named streets and links represent street intersections. Based on this representation, so-called connectivity gra...