Reclaiming site analysis from co-sensing to co-ideation: A collective cartography strategy and tactical trajectories


HEYİK M. A., Güleç Özer D., Abarca-Alvarez F. J., Romero-Martínez J. M.

International Journal of Architectural Computing, vol.22, no.2, pp.238-256, 2024 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 22 Issue: 2
  • Publication Date: 2024
  • Doi Number: 10.1177/14780771231225699
  • Journal Name: International Journal of Architectural Computing
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, Aerospace Database, Applied Science & Technology Source, Art Source, Communication Abstracts, Compendex, Computer & Applied Sciences, Index Islamicus, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.238-256
  • Keywords: co-ideation, co-sensing, collective cartography, Crowdsourcing, urban space
  • Yozgat Bozok University Affiliated: No

Abstract

This study introduces a collective cartography strategy for analyzing complex urban spaces. It was applied during a 7-day Erasmus + workshop with 46 participants from universities in Spain, Turkey, Portugal, and Poland, representing various backgrounds such as urban planning, architecture, heritage, information technologies, and tourism. The workshop's objective was to identify critical urban issues and generate sustainable and multisensory urban space concepts. The impact of this strategy, from co-sensing to co-ideation, was evaluated by its influence on collaboration and the development of self-generated tactics during the process. Within this context, we explored various group tactics, including multisensor data collection, multi-criteria-based analysis, crowdsourcing for site diagnosis, and distributed collaboration to enhance diverse perspectives and narratives. The findings, outputs, and reflections from participants indicate highly interactive, productive, and inclusive co-creation settings. These were facilitated through a web-based virtual collective space (Doyoucity) and a crowdsourcing mobile app for on-site data collection and analysis (Fulcrum).