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Agent-Based Analysis of Urban Spaces Using Space Syntax and Spatial Cognition Approaches: A Case Study in Bari, Italy

Author

Listed:
  • Dario Esposito

    (Department of Civil, Environmental, Land, Construction and Chemistry (DICATECh), Polytechnic University of Bari, 70125 Bari, Italy)

  • Stefania Santoro

    (Department of Civil, Environmental, Land, Construction and Chemistry (DICATECh), Polytechnic University of Bari, 70125 Bari, Italy)

  • Domenico Camarda

    (Department of Civil, Environmental, Land, Construction and Chemistry (DICATECh), Polytechnic University of Bari, 70125 Bari, Italy)

Abstract

The present study provides a reflection on the agent-based intelligence of urban spatial environments through the comparison of a formal quantitative approach, i.e., space syntax, and a qualitative experimentation based on the spatial cognition approach. Until recently, space syntax was adopted by urban planners and designers to support urban design and planning decisions, based on an analysis of the urban physical environment. Researchers in the cognitive science field have increased their attempts to address space syntax techniques to better understand the relationships of cognitive spatial agents with the spatial features of urban environments. In this context, the experimental approach focuses on the qualities of the environment as interacted, perceived and interpreted by cognitive agents and reflects on the role which it plays in affecting spatial decisions and route choices. The present paper aimed to explore the extent to which possible integration between the different approaches can provide insights on agent-based decisions in actions and behavioural processes in space for useful perspectives in urban analysis and planning. Findings suggest relevant correlations between the experimentation results and space syntax predictions when a correspondence of some aspects can be found. Conversely, interesting qualitative insights from the spatial cognition approach are pointed out to enrich the configurational analysis. The potential and constraints of each approach and the ways of combining these are presented. Evidence supports the suitability of the proposal outlined in the present paper within the framework of urban planning practice.

Suggested Citation

  • Dario Esposito & Stefania Santoro & Domenico Camarda, 2020. "Agent-Based Analysis of Urban Spaces Using Space Syntax and Spatial Cognition Approaches: A Case Study in Bari, Italy," Sustainability, MDPI, vol. 12(11), pages 1-17, June.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:11:p:4625-:d:367819
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    References listed on IDEAS

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    1. Stefania Santoro & Pasquale Balena & Domenico Camarda, 2020. "Knowledge Models for Spatial Planning: Ecosystem Services Awareness in the New Plan of Bari (Italy)," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
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    Cited by:

    1. Qiang Sheng & Dongyang Wan & Boya Yu, 2021. "Effect of Space Configurational Attributes on Social Interactions in Urban Parks," Sustainability, MDPI, vol. 13(14), pages 1-15, July.
    2. Yue Tang & Li Zhu & Jiang Li & Ni Zhang & Yilin Sun & Xiaokang Wang & Honglin Wu, 2023. "Assessment of Perceived Factors of Road Safety in Rural Left-Behind Children’s Independent Travel: A Case Study in Changsha, China," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
    3. Longlong Zhang & Jingwen Yuan & Chulsoo Kim, 2022. "Sustainable Planning and Design of Ocean City Spatial Forms Based on Space Syntax," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    4. Ran Li & Liang Mao, 2022. "Spatial Characteristics of Suburban Villages Based on Spatial Syntax," Sustainability, MDPI, vol. 14(21), pages 1-17, October.

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