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Venezia the Living City

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

What makes some cities successful and others less so? We propose here that the structure of a city and the way it enables motion through its streets; i.e. its walkabilty, predicts its usability. We further suggest that this can be seen by studying the network structure of a city’s streets, since the network reflects the history of their use. As an example of our claim we will study Venice. The city is a good example for our hypothesis as it is both universally walkable and one of the most purposefully sustained cities in existence. To study the network of Venice in a way that reflects the need to adapt it to the motion of people we will single out those elements of the city that are most changeable, that is, those that can be easily added or created by eliminating some barrier. We will study the bridges between islands (ponti) and contrast them with the intra island streets (calli) that make up most of the pedestrian network of Venice. Even in its uniqueness, looking at Venice will help us develop a methodology for analyzing the current state of a city graph and gather some insights on how it achieves its purpose through historical analysis of its evolution.

Original languageEnglish
Title of host publicationArtificial Life and Evolutionary Computation - 19th Italian Workshop, WIVACE 2025, Proceedings
EditorsMonica Bianchini, Marco Gori, Marco Maggini
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-16
Number of pages14
ISBN (Print)9783032331847
DOIs
StatePublished - 2027
Event19th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2025 - Siena, Italy
Duration: 3 Sep 20255 Sep 2025

Publication series

NameCommunications in Computer and Information Science
Volume3001 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference19th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2025
Country/TerritoryItaly
CitySiena
Period3/09/255/09/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2027.

Keywords

  • Adaptation
  • Betweenness centrality
  • City design
  • Complex network evolution
  • Complex networks
  • Complex systems
  • Social network analysis
  • Urban networks
  • Venice

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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