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

Author(s):  
Akira Ota ◽  
Hiroshi Takahashi ◽  
Toshiyuki Kaneda

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.

2021 ◽  
Vol 13 (7) ◽  
pp. 3927
Author(s):  
Akkelies van Nes

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.


Author(s):  
Omid Rismanchian 1 ◽  
Simon Bell 1 ◽  
Safoora Mokhtarzadeh

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. 


PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259680
Author(s):  
Mark Altaweel ◽  
Jack Hanson ◽  
Andrea Squitieri

Cities and towns have often developed infrastructure that enabled a variety of socio-economic interactions. Street networks within these urban settings provide key access to resources, neighborhoods, and cultural facilities. Studies on settlement scaling have also demonstrated that a variety of urban infrastructure and resources indicate clear population scaling relationships in both modern and ancient settings. This article presents an approach that investigates past street network centrality and its relationship to population scaling in urban contexts. Centrality results are compared statistically among different urban settings, which are categorized as orthogonal (i.e., planned) or self-organizing (i.e., organic) urban settings, with places having both characteristics classified as hybrid. Results demonstrate that street nodes have a power law relationship to urban area, where the number of nodes increases and node density decreases in a sub-linear manner for larger sites. Most median centrality values decrease in a negative sub-linear manner as sites are larger, with organic and hybrid urban sites’ centrality being generally less and diminishing more rapidly than orthogonal settings. Diminishing centrality shows comparability to modern urban systems, where larger urban districts may restrict overall interaction due to increasing transport costs over wider areas. Centrality results indicate that scaling results have multiples of approximately ⅙ or ⅓ that are comparable to other urban and road infrastructure, suggesting a potential relationship between different infrastructure features and population in urban centers. The results have implications for archaeological settlements where urban street plans are incomplete or undetermined, as it allows forecasts to be made on past urban sites’ street network centrality. Additionally, a tool to enable analysis of street networks and centrality is provided as part of the contribution.


2021 ◽  
Vol 13 (19) ◽  
pp. 11009
Author(s):  
Walid-Mahfoud Djenaihi ◽  
Noureddine Zemmouri ◽  
Moussadek Djenane ◽  
Akkelies van Nes

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.


Author(s):  
Ayse Ozbil ◽  
Demet Yesiltepe ◽  
Gorsev Argin ◽  
Greg Rybarczyk

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.


Author(s):  
Lars Marcus ◽  
Meta Berghauser Pont ◽  
Gianna Stavroulaki ◽  
Jane Bobkova

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.  


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