| dc.contributor | Universitat de Vic - Universitat Central de Catalunya. Elisava, Facultat de Disseny i Enginyeria de Barcelona | |
| dc.contributor.author | Larroya, Ferran | |
| dc.contributor.author | Paez, Roger | |
| dc.contributor.author | Valtchanova, Manuela | |
| dc.contributor.author | Perelló, Josep | |
| dc.date.accessioned | 2026-01-26T10:23:26Z | |
| dc.date.available | 2026-01-26T10:23:26Z | |
| dc.date.issued | 2025-05-19 | |
| dc.identifier.uri | http://hdl.handle.net/10854/180785 | |
| dc.description.abstract | Cities are complex systems that demand integrated approaches, with increasing
attention focused on the neighborhood level. This study examines the interplay
between expert-based mapping and citizen science in the Primer de Maig neighborhood of Granollers, Catalonia, Spain—an area marked by poor-quality public
spaces and long-standing socio-economic challenges. Seventy-two residents were
organized into 19 groups to record their pedestrian mobility while engaging in
protocolized playful social actions. Their GPS identified opportunity units for
meaningful public space activation. Although 56% of observed actions occurred
within expert-defined units, the remaining 44% took place elsewhere. Clustering
analysis of geo-located action stops revealed seven distinct clusters, highlighting overlooked areas with significant social potential. These findings underscore
the complementarity of top-down and bottom-up approaches, demonstrating how citizen science and community science approaches enriches urban diagnostics by integrating subjective, community-based perspectives in public space
placemaking and informing inclusive, adaptive sustainable urban transformation
strategies. | ca |
| dc.format.extent | 55 p. | ca |
| dc.language.iso | eng | ca |
| dc.publisher | Cornell University | ca |
| dc.relation.ispartof | Arxiv | ca |
| dc.subject.other | Physics and Society | ca |
| dc.subject.other | Computers and Society | ca |
| dc.subject.other | Computational Physics | ca |
| dc.title | Pedestrian mobility citizen science complements expert mapping for enhancing inclusive neighborhood placemaking | ca |
| dc.type | info:eu-repo/semantics/article | ca |
| dc.description.version | info:eu-repo/semantics/publishedVersion | ca |
| dc.embargo.terms | cap | ca |
| dc.identifier.doi | https://doi.org/10.48550/arXiv.2505.11098 | ca |
| dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |