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Spatial Knowledge in Large-Scale Environments: A Preliminary Planning-Oriented Study

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

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Abstract

Strategic planning has recently focused its attention on the elements that characterize the spaces through which the agents move, paying particular attention on the way in which they incorporate them. Spatial environments are currently studied from different perspectives, from the cognitivist point of view they represent knowledge-intensive, significant spatial entities to which human agents need to relate adaptively.

The way in which humans use the surrounding space is influenced by a series of implicit factors, such as perceptions, emotions, sensations. These elements, being often tacit, are difficult to identify although they strongly characterize these spaces. For this reason, these characteristics become basic for effective strategic planning at urban and regional level and for environmental decision-making processes.

This study presents a method for quantitatively measuring the reactions of visitors to scenes they encounter in spaces with an extremely small population. We conducted an experiment that required participants to take photographs of elements that caught their attention in poorly structured rural areas. In this way, the photographed features and the related comments have made it possible to better grasp perceptions, sensations, emotions that can represent crucial spatial variables for structuring and interpreting spaces.

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Authors and Affiliations

  1. Polytechnic University of Bari, Bari, Italy

    Giulia Mastrodonato & Domenico Camarda

Authors
  1. Giulia Mastrodonato
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  2. Domenico Camarda
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Corresponding author

Correspondence to Domenico Camarda .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

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Mastrodonato, G., Camarda, D. (2020). Spatial Knowledge in Large-Scale Environments: A Preliminary Planning-Oriented Study. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12255. Springer, Cham. https://doi.org/10.1007/978-3-030-58820-5_12

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  • DOI: https://doi.org/10.1007/978-3-030-58820-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58819-9

  • Online ISBN: 978-3-030-58820-5

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