The Role of Angularity in Route Choice

Turner, Alasdair

doi:10.1007/978-3-642-03832-7_30

Cited by 34 publications

(16 citation statements)

References 17 publications

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“…In comparison, the normal distribution of trip lengths means that the frequency or probability follows a Gaussian distribution. This position seems to be supported not only by their empirical studies but also by the pattern of human travel routes identified by massive global positioning system data (Turner 2009). This study tests three representative choices: natural street, which captures angular relationships in the network structure; connectivity, which measures the centrality of a network component from a topological perspective; and road width (or speed limit), which describes a physical characteristic of network components.…”

Section: Geographical Analysismentioning

confidence: 85%

“…Subscribing to the Gestalt principle of good continuity, Jiang and colleagues (Jiang and Liu 2011;Jiang and Jia 2011) argue that drivers often prefer to choose natural streets whenever possible. This position seems to be supported not only by their empirical studies but also by the pattern of human travel routes identified by massive global positioning system data (Turner 2009). When a natural street was chosen as the weight variable, the algorithm prioritizes a connected natural street as the most likely road segment for the next step in a simulation.…”

Section: Geographical Analysismentioning

confidence: 85%

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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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Section: Geographical Analysismentioning

confidence: 85%

Section: Geographical Analysismentioning

confidence: 85%

The Random Walk Value for Ranking Spatial Characteristics in Road Networks

Wei

Yao

2014

Geographical Analysis

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“…Space syntax then provides a representation of the space by actual use. This might even include anomalies, such as traffic regulations (e.g., one-way streets or stop signs) that are being ignored on a regular basis (Turner 2009). The resulting ''map'' does not represent the legal truth, but instead the accepted reality of the collective wisdom of the crowd.…”

Section: Space-time Trailsmentioning

confidence: 99%

“…Thus, space syntax can give a better understanding of the Fig. 2 Space-time trails using space syntax measures from (Turner 2009). The area is from central London covering approximately 8 km 9 6 km.…”

Section: Space-time Trailsmentioning

confidence: 99%

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Many to Many Mobile Maps

Hirtle

Raubal²

2013

Lecture Notes in Geoinformation and Cartography

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The rapid development of mobile computing devices along with a variety of Web 2.0 social networking tools has led to a dramatic change in the way maps and other spatial displays are utilized. The evolution from stand-alone desktop GIS to the interactive, mobile devices, in which information from one or more sources and is sent to one or more sinks, is discussed. The result is access to real-time information, which is generated from both traditional sources, social networks, and other specialized geowikis. Both the benefits of many to many mobile maps and the emergence of new problems, such as understanding the needs of the user and providing appropriate context, are discussed.

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Space Syntax: A Network-Based Configurational Approach to Studying Urban Morphology

Rashid

2019

Modeling and Simulation in Science, Engineering and Technology

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The Role of Angularity in Route Choice

Cited by 34 publications

References 17 publications

The Random Walk Value for Ranking Spatial Characteristics in Road Networks

The Random Walk Value for Ranking Spatial Characteristics in Road Networks

Many to Many Mobile Maps

Space Syntax: A Network-Based Configurational Approach to Studying Urban Morphology

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