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

2016 ◽  
Vol 38 ◽  
pp. 89-95 ◽  
Author(s):  
Mohammad Javad Koohsari ◽  
Takemi Sugiyama ◽  
Suzanne Mavoa ◽  
Karen Villanueva ◽  
Hannah Badland ◽  
...  
Keyword(s):  
Space Syntax ◽  
Street Network ◽  
Network Measures

scholarly journals The Impact of the Ring Roads on the Location Pattern of Shops in Town and City Centres. A Space Syntax Approach

2021 ◽  
Vol 13 (7) ◽  
pp. 3927
Author(s):  
Akkelies van Nes
Keyword(s):  
Urban Areas ◽  
Space Syntax ◽  
Optimal Location ◽  
Spatial Integration ◽  
Street Network ◽  
Location Pattern ◽  
Ring Road ◽  
Road Projects ◽  
The Impact ◽  
City Centres

This contribution demonstrates how inner ring roads change the location pattern of shops in urban areas with the application of the space syntax method. A market rational behaviour persists, in that shop owners always search for an optimal location to reach as many customers as possible. If the accessibility to this optimal location is affected by changes in a city’s road and street structure, it will affect the location pattern of shops. Initially, case studies of inner ring road projects in Birmingham, Coventry, Wolverhampton, Bristol, Tampere, and Mannheim show how their realisation affect the spatial structure of the street network of these cities and the location pattern of shops. The results of the spatial integration analyses of the street and road network are discussed with reference to changes in land-use before and after the implementation of ring roads, and current space syntax theories. As the results show, how an inner ring road is connected to and the type of the street network it is imposed upon dictates the resulting location pattern of shops. Shops locate and relocate themselves along the most spatially-integrated streets. Evidence on how new road projects influence the location pattern of shops in urban centres are useful for planning sustainable city centres.

scholarly journals Developing a route filtering system for street network development by integrating GIS and space syntax: a case study from tehran, Iran

2018 ◽  
Author(s):  
Omid Rismanchian 1 ◽  
Simon Bell 1 ◽  
Safoora Mokhtarzadeh
Keyword(s):  
Spatial Pattern ◽  
Low Income ◽  
Space Syntax ◽  
Cost Effective ◽  
Street Network ◽  
Deprived Neighbourhoods ◽  
Natural Movement ◽  
Spatial Isolation ◽  
Low Income Families

Throughout the urban development process over the last seven decades in Tehran, Iran many self-generated neighbourhoods have developed, in which the majority of the residents are low-income families. The main spatial attribute of these deprived neighbourhoods in space syntax terms is spatial isolation from the surrounding, more affluent areas, which is accompanied by inadequate urban infrastructure and a lack of accessibility and permeability. This paper discusses a method of developing a route filtering system for identifying the most suitable streets for the creation of a pedestrian-friendly network, using an example of a deprived area, in order to integrate it with the surrounding urban fabric. The theory of ‘Natural Movement’ formed the basis of the research, the spatial pattern being analysed through Space Syntax using Depthmap software and GIS. The results showed that it is possible to identify the underlying spatial pattern using this approach and this could form a very cost effective basis for developing a pedestrian friendly street network, in order to release the deprived area from its spatial isolation. 

scholarly journals Noise and Spatial Configuration in Biskra, Algeria—A Space Syntax Approach to Understand the Built Environment for Visually Impaired People

2021 ◽  
Vol 13 (19) ◽  
pp. 11009
Author(s):  
Walid-Mahfoud Djenaihi ◽  
Noureddine Zemmouri ◽  
Moussadek Djenane ◽  
Akkelies van Nes
Keyword(s):  
Spatial Configuration ◽  
Space Syntax ◽  
Urban Spaces ◽  
Spatial Integration ◽  
Strong Correlations ◽  
Street Network ◽  
Recorded Sound ◽  
Visually Impaired People ◽  
Level Data ◽  
Different Types

This contribution investigates the correlation between street noise levels and the spatial configuration of the street network in four different types of neighbourhoods in the Algerian city of Biskra. Space syntax methods are used to analyse spatial relationships, where accessibility, intelligibility, and legibility of urban spaces can be evaluated. The degree of spatial integration is used as an accessibility indicator and is correlated with recorded noise level data at 154 points from the selected neighbourhoods. As the results show, there are strong correlations between spatial integration and recorded sound pressures on streets and roads in colonial and unplanned neighbourhoods. The reason is that these types of neighbourhoods have a street network with high correlations between street connectivity and global spatial integration. There are weak correlations between connectivity and global spatial integration throughout the modern planned neighbourhood, which again affects the correlation between noise and space. The experiment shows that space syntax methods have the potential to predict degrees of accessibility and orientability for people with visual impairments in urban planning.

scholarly journals Children’s Active School Travel: Examining the Combined Perceived and Objective Built-Environment Factors from Space Syntax

2021 ◽  
Vol 18 (1) ◽  
pp. 286
Author(s):  
Ayse Ozbil ◽  
Demet Yesiltepe ◽  
Gorsev Argin ◽  
Greg Rybarczyk
Keyword(s):  
Urban Areas ◽  
Space Syntax ◽  
Network Connectivity ◽  
Active Commuting ◽  
Street Network ◽  
School Travel ◽  
Cross Sectional ◽  
Active Commuting To School ◽  
Active School Travel ◽  
Using Data

Increasing active school travel (AST) among children may provide the required level of daily physical activity and reduce the prevalence of obesity. Despite efforts to promote this mode, recent evidence shows that AST rates continue to decrease in suburban and urban areas alike. The aim of this research study, therefore, is to facilitate our understanding of how objective and perceived factors near the home influence children’s AST in an understudied city, İstanbul, Turkey. Using data from a cross-sectional sample of students aged 12–14 from 20 elementary schools (n = 1802) and consenting parents (n = 843), we applied a nominal logistic regression model to highlight important predictors of AST. The findings showed that street network connectivity (as measured by two novel space syntax measures, metric reach and directional reach) was the main deciding factor for active commuting to school, while parents’ perceptions of condition of sidewalks and shade-casting street trees were moderately significant factors associated with AST. Overall, this study demonstrated the significance of spatial structure of street network around the homes in the potential for encouraging AST, and more importantly, the need to consider objective and perceived environmental attributes when strategizing means to increase this mode choice and reduce ill-health among children.

scholarly journals Location-based density and diversity – adding attraction variables to space syntax

2017 ◽  
Author(s):  
Lars Marcus ◽  
Meta Berghauser Pont ◽  
Gianna Stavroulaki ◽  
Jane Bobkova
Keyword(s):  
Space Syntax ◽  
Spatial Form ◽  
Street Network ◽  
Syntax Analysis ◽  
Architectural Model ◽  
Density Analysis ◽  
Important Exception ◽  
New Methodologies ◽  
The City ◽  
Spatial Attraction

The central variables in any urban model are distance and attraction (Wilson 2000). Space syntax research has contributed to the development of new geometric descriptions and measures of distance that have proven successful when it comes to capturing pedestrian movement. However, the description and measurement of attractions has not been central to the field. An important exception is the development of Place Syntax analysis, which concerns new methodologies and software that opens for analysis not only of different kinds of accessibilities in the street network in itself, but also analysis of the accessibility within the network to different forms of attractions, for instance, residents or retail (Ståhle et al 2005).   Place Syntax analysis is a generic form of analysis, why we may choose to analyse the accessibility to particular socio-economic attractions, but we may also conceive of a model of ‘pure’ spatial form – a kind of architectural model of the city. For instance, Place Syntax analysis has been applied in different kinds of density analysis, transforming density measures from area-based measures to location-based measures (Ståhle et al 2005). In this paper, we extend such spatial attraction to not only include the variable of density but also diversity and present results from an extensive empirical study including four European cities, paving the way towards a more complete architectural model of the city including both the analysis of distance and attractions.  

scholarly journals Investigating retail property market dynamics through spatial accessibility measures

2019 ◽  
Vol 12 (2) ◽  
pp. 155-172 ◽  
Author(s):  
Adejimi Alli Adebayo ◽  
Paul Greenhalgh ◽  
Kevin Muldoon-Smith
Keyword(s):  
Space Syntax ◽  
Statistical Testing ◽  
Spatial Accessibility ◽  
Market Dynamics ◽  
Data Sets ◽  
Property Market ◽  
Street Network ◽  
Content Type ◽  
Retail Property ◽  
Rental Value

Purpose The retail property market is constantly adopting to the continuous demand of retailers and their consumers. This paper aims to investigate retail property market dynamics through spatial accessibility measures of the City of York street network. It explores how spatial accessibility metrics (SAM) explain retail market dynamics (RMD) through changes in the city’s retail rental values and stock. Design/methodology/approach Valuation office agency (VOA) data sets (aspatial) and ordnance survey map (spatial) data form the empirical foundation for this investigation. Changes in rental value and retail stock between 2010 and 2017 VOA data sets represent the RMD variables. While, the configured street network measures of Space Syntax, namely, global integration, local integration, global choice and normalised angular choice form the SAM variables. The relationship between these variables is analysed through geo-visualisation and statistical testing using GIS and SPSS tools. Findings The study reveals that there has been an overall negative changes of 15 and 22% in rental value and retail stock, respectively, even though some locations within the sampled city (York, North Yorkshire, England) indicated positive changes. The study further indicated that changes in retail rental value and stock have occurred within locations with good accessibility index. It also verifies that there are spatial and statistical relationship between variables and 22% of RMD variability was jointly accounted for by SAM. Originality/value This research is first to investigates changes in retail property market variables through spatial accessibility measures of space syntax. It contributes to the burgeoning research field of real estate and Space Syntax.

Factor Analysis of Rent Using Space Syntax Measures: Comparative Analysis by Building Use around Shibuya Station

2021 ◽  
pp. 237-257
Author(s):  
Akira Ota ◽  
Hiroshi Takahashi ◽  
Toshiyuki Kaneda
Keyword(s):  
Space Syntax ◽  
Walking Distance ◽  
Network Centrality ◽  
Target Area ◽  
Street Network ◽  
Floor Area ◽  
High Street ◽  
Intersection Points ◽  
Visible Area ◽  
Good Access

AbstractThe determinants of residential, office and commercial rent are each analyzed by taking the 10 min walking distance area around Shibuya Station in Tokyo as the research target area. Conventional physical and quantitative factors such as distance from the nearest station, the width of the frontal road, age of the building, the number of floors, total floor area, contracted floor area, building structure etc. are included in the multiple-regression analysis as well as qualitative factors such as the visible area representing visibility on a main street and the integration value representing street network centrality—easy accessibility from other locations such as any intersection points—based on the space syntax measures (SS measures) used in the analysis by Jake Desyllas from University College of London. It is shown that both SS measures affect the rent for all the residential, office and commercial uses with the statistically significant level of 5%. It is quantitatively confirmed that the residential rent increases in a secluded location, and the office and commercial rent rise in a location with high street network centrality and good access, which would suggest that the SS measures are crucial important rent factors for residential, offices, and commercial uses in other places in Japan.

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