A Study on the Pedestrian Space applying Space Syntax and the Segment Unit

Porras, Ruth; Takeshita, Toru; Masayuki, Ikezoe; Araya, Ryo

doi:10.3130/jaabe.1.197

Cited by 9 publications

(6 citation statements)

References 1 publication

(1 reference statement)

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“…Other significant variables were proximity to public transit stations and tourist attractions. A similar pattern showing the strength of spatial configuration variables in predicting movement was also revealed in pedestrian models constructed for urban areas in Atlanta (Ozbil et al 2011), Oakland, California (Raford 2003, Istanbul (Ozer andKubat 2007, Ozbil 2013), Seoul (Kim et al 2007), Santa Maria city, Brazil (Zampieri et al 2009), Tel Aviv and Bat Yam, Israel Omer 2013, Lerman et al 2014), and in Fukuoka City, Japan (Porras et al 2002).…”

Section: Introductionmentioning

confidence: 55%

The impact of planning on pedestrian movement: contrasting pedestrian movement models in pre-modern and modern neighborhoods in Israel

Omer

Rofè

Lerman

2015

International Journal of Geographical Information Science

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Most pedestrian movement volume models were constructed for urban areas that developed on the basis of pre-modern planning. In this paper, we confront neighborhoods that were built upon modern planning doctrines, combining the functional hierarchy of streets with the neighborhood unit concept, with neighborhoods that developed from pre-modem non-hierarchical street-based planning. We use space syntax analysis to investigate how their street network's structural attributes interact with pedestrian movement distribution. The investigation was conducted in 14 neighborhoods from 4 cities in Israel by examining the correlation of observed pedestrian volume with models using different axial-and segment-based topological, angular, and metric syntactic attributes across different radii (scales). The results indicate that the street network and the distribution of pedestrian movement interact differently in the two neighborhood types. In pre-modern neighborhoods: (i) there is significantly more walking; (ii) the street network's syntactic attributes tend to be much more consistent in their correlation with pedestrian volume across all scales; (iii) the correlation of pedestrian volume with these attributes and with commerce is relatively high; and (iv) pedestrian movement distribution is more predictable. We relate these differences to the absence of a self-organized circular causality between street network structure, commerce, and movement in modern planned neighborhoods.

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Section: Introductionmentioning

confidence: 55%

The impact of planning on pedestrian movement: contrasting pedestrian movement models in pre-modern and modern neighborhoods in Israel

Omer

Rofè

Lerman

2015

International Journal of Geographical Information Science

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“…Therefore, this research model presented the floating population in a microscopic spatial area, which is difficult to present in a study that estimates long-term traffic changes based on a transport model [21,26]. In addition, since this research model was based on the results of a macroscale model, it was possible to present a future floating population that cannot be estimated in studies using space syntax [28][29][30][31][32][33][34].…”

Section: Discussionmentioning

confidence: 99%

“…Such an analysis allows the built environment to be modeled in a way that reflects how it is perceived by people on the ground [27]. Many studies have used this methodology to analyze pedestrians in urban areas in, for example, Atlanta [28]; Oakland, CA [29]; Istanbul [30]; Seoul [31]; Santa Maria, Brazil [32]; Tel Aviv and Bat Yam, Israel [33]; and Fukuoka, Japan [34]. However, these models find it difficult to predict long-term changes in pedestrians owing to changes in land use and transport infrastructure.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Methodology for Estimating Floating Population in Microscopic Spatial Units

Jang

An²

2023

Sustainability

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Estimating pedestrian volume has become an important topic in urban planning and transportation-planning research. However, current models find it difficult to predict long-term changes in pedestrians due to changes in land use and transport infrastructure. In this study, a methodology was devised to estimate the mesoscale pedestrian volume according to the results of a long-term-forecasting model integrating land use and transportation. The methodology was validated using pedestrian volume data collected from Gangnam, Seoul. The main contributions of this study are that the proposed methodology enables the long-term prediction of mesoscale pedestrian volume, which has previously been difficult to analyze, and that it considers not only pedestrians who are walking but also public transportation users moving between public transport nodes and buildings. Thus, it can accommodate long-term changes in not only land use but also in transportation infrastructure.

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“…Space syntax includes a set of new concepts and techniques that can analyze spatial configurations. In street network analysis, many studies show that the space syntax measures are able to quantify traffic characteristics such as vehicle traffic volume (Croxford, Penn, and Hillier 1996) and pedestrian volume (Porras et al 2002;Baran, Rodríguez, and Khattak 2008). Connectivity in space syntax refers to the number of spatial units connected to a given spatial unit.…”

Section: Index Assessmentmentioning

confidence: 99%

“…Integration measures the number of turns one has to make from one link to reach other links by way of the shortest paths in a network. In street network analysis, many studies show that the space syntax measures are able to quantify traffic characteristics such as vehicle traffic volume (Croxford, Penn, and Hillier 1996) and pedestrian volume (Porras et al 2002;Baran, Rodríguez, and Khattak 2008). In a study that predicted human movements in an urban environment, Jiang (2009) found that 60% of the spatial variation in human movements can be explained by a space syntax measure from a topological point of view.…”

Section: Index Assessmentmentioning

confidence: 99%

The Random Walk Value for Ranking Spatial Characteristics in Road Networks

Wei

Yao

2014

Geographical Analysis

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This study proposes a new network index at both nodal and link levels to rank the spatial characteristics of individual network components. The objective is to create a network metric that captures socioeconomic characteristics in urban environments. Because this index is based on the random walk simulation modeling strategy, it is coined the random walk value (RWV). An algorithm and an associated software tool were developed to calculate the RWVs of network components. Compared with other popular network indices, the unique advantage of the RWV is that this index considers not only spatial structural or topological characteristics, but also physical characteristics of network components. Two case study cities, the Chinese city of Wuhan and the U.S. city of Atlanta, were chosen to test the utility of the RWV. These two case studies yield several findings. First, the RWV is highly consistent with some of the most widely used network measures, such as closeness and connectivity measures, which was evidenced by strong correlations between RWV and other networks. Second, the RWV has been proven to be a good indicator of spatial importance and a better predictor of socioeconomic variables in urban environments. The RWV outperforms all other network indices in terms of its correlations with important socioeconomic variables and its ability to predict some of them. Third, both case studies confirm that the RWV can be a good substitute for some important socioeconomic variables, such as population density and job density, in spatial modeling. This finding is significant for studies when population and job data are not available and for studies that attempt to predict future scenarios.

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A Study on the Pedestrian Space applying Space Syntax and the Segment Unit

Cited by 9 publications

References 1 publication

The impact of planning on pedestrian movement: contrasting pedestrian movement models in pre-modern and modern neighborhoods in Israel

The impact of planning on pedestrian movement: contrasting pedestrian movement models in pre-modern and modern neighborhoods in Israel

A Study on the Methodology for Estimating Floating Population in Microscopic Spatial Units

The Random Walk Value for Ranking Spatial Characteristics in Road Networks

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