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Wayfinding and Historical Urban Contexts: Individual vs. Collective Insights from an Italian Case Study

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Cooperative Design, Visualization, and Engineering (CDVE 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13492))

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Abstract

When building knowledge for planning and management activities, agents’ spatial cognition and interaction with urban spaces play critical roles. Wayfinding process is interactive by nature. Also, the recognition of places depends on the ability to remember them: the presence of significant elements helps easier and efficient memorization. Environmental differentiation or landmarks contribute to that, whereas difficulty is induced by their absence. However, intense characterization of spaces, as in historic centers, may complicate orientation depending on a topographical layouts’ complexity. We use an experimental approach to explore the behavior of wayfinding agents within the small but intricate historical center of Martina Franca (southern Italy). The aim is to explore elements characterizing spaces surrounding navigation and the role of orientation in agents’ decisions. The final aim is to support the spatial planning and management of complex centers. The experimentation collects in real-time agents’ feelings, opinions, points of view, and processes data with text mining and statistical methods.

The present paper is the result of a more extensive research project carried out in the Polytechnic University of Bari, still under statistical analysis.

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Authors and Affiliations

  1. Polytechnic University of Bari (Italy), 70126, Bari, Italy

    Giulia Mastrodonato, Pasquale Balena & Domenico Camarda

Authors
  1. Giulia Mastrodonato
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  2. Pasquale Balena
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  3. Domenico Camarda
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Corresponding author

Correspondence to Giulia Mastrodonato .

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Editors and Affiliations

  1. University of Balearic Islands, Palma de Mallorca, Spain

    Yuhua Luo

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Mastrodonato, G., Balena, P., Camarda, D. (2022). Wayfinding and Historical Urban Contexts: Individual vs. Collective Insights from an Italian Case Study. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2022. Lecture Notes in Computer Science, vol 13492. Springer, Cham. https://doi.org/10.1007/978-3-031-16538-2_26

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  • DOI: https://doi.org/10.1007/978-3-031-16538-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16537-5

  • Online ISBN: 978-3-031-16538-2

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