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The Connectivity of Streets: Reach and Directional Distance

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  • John Peponis
  • Sonit Bafna
  • Zongyu Zhang

Abstract

We introduce two measures of connectivity that are applicable to standard GIS-based representations of street networks. The reach of a point measures the total street length covered by all paths extending out from that point that are no longer than a given threshold value. The directional distance of a street network from a point is measured according to the minimum number of direction changes required to reach any part of the network from that point, consistent with typical measures used in space syntax. However, our measure of directional distance requires no prior commitment as to the relational elements that make up the network. Any part of the network which is accessible from a point without a change of direction greater than a given threshold angle is treated as a single directional element for the purposes of computation. Street segments are characterized by the reach and directional distance of their midpoints. Networks are characterized by the average directional distance of the corresponding street segments. The measures render explicit the interplay between metric and topological properties of networks. Preliminary studies show that the measures discriminate well between different morphologies of street networks. When used to compare urban morphologies they are well correlated with standard measures used in the literature, with the added advantage that they can discriminate between street segments within the same urban area. Using field observations we also show that the measures can be used to model the effect of spatial configuration upon movement in ways which compare favorably to standard space syntax.

Suggested Citation

  • John Peponis & Sonit Bafna & Zongyu Zhang, 2008. "The Connectivity of Streets: Reach and Directional Distance," Environment and Planning B, , vol. 35(5), pages 881-901, October.
  • Handle: RePEc:sae:envirb:v:35:y:2008:i:5:p:881-901
    DOI: 10.1068/b33088
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    Cited by:

    1. Delso, Javier & Martín, Belén & Ortega, Emilio, 2018. "A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz," Journal of Transport Geography, Elsevier, vol. 67(C), pages 61-72.
    2. Jeong, Sang Kyu & Ban, Yong Un, 2016. "A point-based angular analysis model for identifying attributes of spaces at nodes in street networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 71-84.
    3. Scoppa, Martin & Bawazir, Khawla & Alawadi, Khaled, 2019. "Straddling boundaries in superblock cities. Assessing local and global network connectivity using cases from Abu Dhabi, UAE," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 770-782.
    4. Stephen Marshall & Jorge Gil & Karl Kropf & Martin Tomko & Lucas Figueiredo, 2018. "Street Network Studies: from Networks to Models and their Representations," Networks and Spatial Economics, Springer, vol. 18(3), pages 735-749, September.
    5. Hiroyuki Usui, 2018. "Estimation of geometric route distance from its topological distance: application to narrow road networks in Tokyo," Journal of Geographical Systems, Springer, vol. 20(4), pages 387-412, October.
    6. Javier Delso & Belén Martín & Emilio Ortega & Isabel Otero, 2017. "A Model for Assessing Pedestrian Corridors. Application to Vitoria-Gasteiz City (Spain)," Sustainability, MDPI, vol. 9(3), pages 1-15, March.

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