The global pursuit of livable cities has led local governments to revitalize public spaces, shifting from car-centric infrastructure to pedestrian-oriented environments. Barcelona has become a reference, widely recognized for its Superblocks and green axes. While significant efforts have been made to demonstrate their benefits and contradictions, there remains a lack of citizen-based research on how people use these urban spaces. This study addresses that gap by focusing on citizens’ experiences while walking through the city. Conducted in the Sant Antoni and Poblenou neighborhoods -where a Superblock has been established and further pedestrianization is underway -this research explores the question: Why do we walk where we walk? Citizen science workshops were organized to investigate the factors, both tangible and perceptual, that shape walking behaviors in traffic-calmed zones. Participants—including residents, workers, and visitors—walked a route with a predetermined starting and ending point, while carrying GPS devices and completed a structured questionnaire designed to capture their motivations for route selection. To complement these experiential insights, the shortest and near-shortest routes were identified using the k-shortest path algorithm applied to urban network data. A comparison between algorithmic routes and actual trajectories revealed that individuals often favor paths perceived as safer, more pleasant, or personally meaningful over those that are simply the most direct. The preliminary findings are presented through an interdisciplinary lens, contributing to debates on walkability and urban mobility. The study underscores the value of combining quantitative data with lived experiences and highlights how citizen science can better connect urban planning with everyday practices to build more livable cities.
María Gabriela Navas-Perrone. Postdoctoral researcher at the Universitat Oberta de Catalunya, where she is a member of the Complex Systems group (CoSIN3) and TURBA at the Internet Interdisciplinary Institute. Gabriela, an architect and PhD in Social Anthropology from the University of Barcelona, has focused her academic career on exploring the interactions between built environments and people’s lived experiences in urban spaces. Her research primarily focuses on the political economy of architecture, and the social impacts of urban planning.
Albert Solé-Ribalta is a professor at the Universitat Oberta de Catalunya specializing in big data technologies and machine learning, and a researcher in the Complex Systems @ IN3 (CoSIN3) group. He received a Ph.D. in Computer Science from the Universitat Rovira i Virgili (URV) in Tarragona (Spain) in 2012. His work spans computational social sciences, urban science, and dynamic processes in complex networks. Currently, his research focuses on active, sustainable, and safe mobility in cities.
Javier Borge-Holthoefer is a Ramón y Cajal fellow and is currently leading the Complex Systems group (CoSIN3) (https://cosin3.rdi.uoc.edu/) at the Internet Interdisciplinary Institute (IN3) at Universitat Oberta de Catalunya (Barcelona, Spain). He received a Ph.D. in Computer Science from the Universitat Rovira i Virgili (URV) in Tarragona (Spain) in 2011. His research on urban topics combines complex systems modelling, computer vision techniques, GIS and network analysis to approach, among others, pedestrian and vehicle mobility challenges in urban settings.