Traffic modelling in cities – Validation of space syntax at an urban scale

Patterson, Joanne Louise

doi:10.1177/1420326x16657675

Cited by 20 publications

(13 citation statements)

References 16 publications

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“…It has a history of use in the production of models to fit pedestrian and vehicle flows (Cooper, 2015;Haworth, 2014;Hillier & Iida, 2005;Jayasinghe, 2017;Lowry, 2014;Omer et al, 2017;Patterson, 2016;Serra & Hillier, 2017;Turner, 2007) but is not used in mainstream motor vehicle transport modeling for which the four-step model (Ort uzar & Willumsen, 2011) is ubiquitous. Due to their simplified nature, SpNA models have also been used in epidemiology to quantify built environment factors for individuals (Cooper, Fone, & Chiaradia, 2014;Fone et al, 2012;Sarkar et al, 2015;Sarkar, Gallacher, & Webster, 2013;Sarkar, Webster, & Gallacher, 2014).…”

Section: Comparison Between Four-step Models and Spatial Network Analmentioning

confidence: 99%

Predictive spatial network analysis for high-resolution transport modeling, applied to cyclist flows, mode choice, and targeting investment

Cooper

2018

International Journal of Sustainable Transportation

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Betweenness is a measure long used in spatial network analysis (SpNA) to predict flows of pedestrians and vehicles, and more recently in public health research. We improve on this approach with a methodology for combining multiple betweenness computations using cross-validated ridge regression to create wide-scale, high-resolution transport models. This enables computationally efficient calibration of distance decay, agglomeration effects, and multiple trip purposes. Together with minimization of the Geoffrey E. Havers (GEH) statistic commonly used to evaluate transport models, this bridges a gap between SpNA and mainstream transport modeling practice. The methodology is demonstrated using models of bicycle transport, where the higher resolution of the SpNA models compared to mainstream (four-step) models is of particular use. Additional models are developed incorporating heterogeneous user preferences (cyclist aversion to motor traffic). Based on network shape and flow data alone the best model gives reasonable correlation against cyclist flows on individual links, weighted to optimize GEH (r 2 D 0.78, GEH D 1.9). As SpNA models use a single step rather than four, and can be based on flow data alone rather than demographics and surveys, the cost of calibration is lower, ensuring suitability for small-scale infrastructure projects as well as large-scale studies.

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Section: Comparison Between Four-step Models and Spatial Network Analmentioning

confidence: 99%

Predictive spatial network analysis for high-resolution transport modeling, applied to cyclist flows, mode choice, and targeting investment

Cooper

2018

International Journal of Sustainable Transportation

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“…The space syntax analysis used as a tool for assessing traffic volumes pedestrian and motorized in a town was studied. It was validated previously for many case studies [22][23][24][25][29][30][31][32][33]. Thus, it was assumed correct to validate the results obtained with the axial analysis for the town of Pontedera by carrying out a traffic observation campaign.…”

Section: Resultsmentioning

confidence: 85%

On the Applicability of the Space Syntax Methodology for the Determination of Street Lighting Classes

et al. 2020

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Street lighting plays a crucial role in a city’s night landscape and in urban traffic management, influencing users’ comfort and safety. To contain costs of public street lighting systems and to avoid energy waste, illuminance levels on road surfaces must be adequate to fit actual traffic volumes, as prescribed by regulations. This is true not only for motorized roads but also for sidewalks, paths, and pedestrian areas. Regulations in force establish a relationship between road traffic volumes and minimum illuminance levels through the lighting classes selection procedure. Lighting classes selection is based on various para meters among which traffic volume is the most difficult to evaluate because traffic volumes are generally estimated or measured by a traffic observation campaign. In this paper, an alternative method for classes association which is based on a space syntax approach, is described. The method was applied to the case study town of Pontedera (Italy) for the analysis of the pedestrian and motorized traffic and it shows a good correlation between measured and estimated traffic volumes, demonstrating how the methodology, with a precise and quick estimation of traffic volumes, can help lead to a suitable design of the lighting infrastructure, aiming to reduce energy waste and to avoid oversized lighting systems.

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“…Street configurations are modeled using a space syntax to explain the morphogenesis of the spatial pattern from a spatial configuration point of view besides providing original opinions in terms of space. According to Patterson (2016), a potential aggregate model of traffic flow on an urban scale can be developed using multiple space syntax parameters. The parameters are stipulated based on spatial modeling for the purpose of traffic flow.…”

Section: Research Discussionmentioning

confidence: 99%

“…A study on street configurations was also conducted by Patterson (2016) for traffic modeling in urban areas. It used spatial analysis modeling procedures based on a space syntax to investigate a potential aggregate model for traffic flow on an urban scale.…”

Section: Introductionmentioning

confidence: 99%

Assessing the visualization of space and traffic volume using GIS-based processing and visibility parameters of space syntax

Othman

Yusoff

Salleh

2020

Geo-spatial Information Science

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Streets and physical layouts can be inherent in a sustainable city by emphasizing the use of space with planned strategies by promoting the movement of people and social behaviors for enhancing an economic structure. An analysis of the space layout is beneficial for defining the urban areas that can affect street behavior. A GIS incorporated with a space syntax can help to propagate the effectiveness of a spatial analysis in a study on urban spaces. The integration of the computational pieces of both a GIS analytical tool and space syntax parameters will stimulate research oriented urban systems and spatial morphologies combined with a spatial database. However, the development of livability can be affected by a set of parameters that define the used space. Thus, this paper was aimed at examining the space syntax parameters for space visualization to evaluate street behavior using the GIS processing and space syntax methods. In this study, a spatial analysis was used to generate spatial information on traffic volume, while a space syntax was used to test the street behavior. Also, a predictive analysis was conducted to identify the correlation between traffic behavior and a set of parameters. The results showed that integration and direct visibility were significant to the traffic volume. Most of the streets that were linked to the commercial area showed high integration and direct visibility, which increased by more than half, compared with the unlinked areas. Based on the statistical analysis, both parameters recorded aprobability of less than 5%. The results showed that any space designed with a continuous, direct and clear traffic volume will lead to increased integration and direct visibility, thus influencing a natural vehicle movement.

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Traffic modelling in cities – Validation of space syntax at an urban scale

Cited by 20 publications

References 16 publications

Predictive spatial network analysis for high-resolution transport modeling, applied to cyclist flows, mode choice, and targeting investment

Predictive spatial network analysis for high-resolution transport modeling, applied to cyclist flows, mode choice, and targeting investment

On the Applicability of the Space Syntax Methodology for the Determination of Street Lighting Classes

Assessing the visualization of space and traffic volume using GIS-based processing and visibility parameters of space syntax

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