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A point-based angular analysis model for identifying attributes of spaces at nodes in street networks

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  • Jeong, Sang Kyu
  • Ban, Yong Un

Abstract

The effects of the axial map as the key representation of the original space syntax have been questioned by some researchers because of the map’s discontinuity. To address this concern, angular segment analysis (ASA) was introduced. ASA calculates spatial depths by considering the turning angles of path segments in a street network. However, ASA cannot calculate the attributes of nodes connected to path segments in the network because it analyzes spaces by linear representation, as in the original space syntax.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:450:y:2016:i:c:p:71-84
    DOI: 10.1016/j.physa.2015.12.068
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    References listed on IDEAS

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    Cited by:

    1. Mona Jabbari & Fernando Fonseca & Rui Ramos, 2018. "Combining multi-criteria and space syntax analysis to assess a pedestrian network: the case of Oporto," Journal of Urban Design, Taylor & Francis Journals, vol. 23(1), pages 23-41, January.
    2. Mona Jabbari & Fernando Fonseca & Rui Ramos, 2021. "Accessibility and Connectivity Criteria for Assessing Walkability: An Application in Qazvin, Iran," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    3. Sang Kyu Jeong & Yong Un Ban, 2020. "Spatial Configurations for The Revitalization of a Traditional Market: The Case of Yukgeori Market in Cheongju, South Korea," Sustainability, MDPI, vol. 12(7), pages 1-17, April.

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