We’re proud to share that Walid Samir, researcher at the University of Cyprus and Twin2Expand team member, presented his work at the Computational Urban Planning and Urban Management (CUPUM) 2025 conference hosted by UCL London.

This study explores the performance of automated vs. hybrid street network modeling in the urban context of Nicosia, Cyprus. Using key centrality and accessibility metrics, the research demonstrates that fully automated, open-source workflows can replicate hybrid model results at the city scale (ρ = 0.98 at 5000m for integration). Yet, it also highlights neighbourhood-scale differences, especially for betweenness and accessibility, driven by local topology and data resolution.
The findings confirm automated models as scalable solutions for city-wide analysis but underscore how local topology and network structure critically influence granular planning outcomes in low-data contexts.
Learn more about CUPUM:
-UCL CUPUM 2025 (https://lnkd.in/gcZkidwJ)
-CUPUM Events (https://cupum.co/events/)