| Machine learning for spatial analyses in urban areas: a scoping review Y Casali, NY Aydin, T Comes Sustainable cities and society 85, 104050, 2022 | 55 | 2022 |
| A topological analysis of growth in the Zurich road network Y Casali, HR Heinimann Computers, Environment and Urban Systems 75, 244-253, 2019 | 43 | 2019 |
| Robustness response of the Zurich road network under different disruption processes Y Casali, HR Heinimann Computers, Environment and Urban Systems 81, 101460, 2020 | 19 | 2020 |
| A topological characterization of flooding impacts on the Zurich road network Y Casali, HR Heinimann PLoS ONE 14 (7), 2019 | 15 | 2019 |
| Identifying changes in critical locations for transportation networks using centrality NY Aydin, Y Casali, H Sebnem Duzgun, HR Heinimann Computational Urban Planning and Management for Smart Cities 16, 405-423, 2019 | 13 | 2019 |
| Can green roofs help with stormwater floods? A geospatial planning approach C Twohig, Y Casali, NY Aydin Urban Forestry & Urban Greening 76, 127724, 2022 | 11 | 2022 |
| Zooming into socio-economic inequalities: using urban analytics to track vulnerabilities-A case study of Helsinki Y Casali, N Aydin, T Comes 18th International Conference on Information Systems for Crisis Response and …, 2021 | 1 | 2021 |
| Topological Assessment of Changes in Road Network Systems in Time, under Discrete Flooding Events, and under Classes of Unexpected Disruptions Y Casali ETH Zurich, 2020 | 1 | 2020 |
| Assessing the effects of sea surface temperature anomalies in the hydrology of the Red River basin, Vietnam Y CASALI Italy, 2014 | 1 | 2014 |
| A data-driven approach to analyse the co-evolution of urban systems through a resilience lens: A Helsinki case study Y Casali, NY Aydin, T Comes Environment and Planning B: Urban Analytics and City Science, 23998083241235246, 2024 | | 2024 |
| Assessing the evolution of educational accessibility with self-avoiding random walk: insights from Helsinki NY Aydin, E Yigitbasi, Y Casali, B van Wee Applied Network Science 8 (1), 55, 2023 | | 2023 |
| Comparing hierarchical and inductive methods to characterize social vulnerability.-A Burkina Faso case study L Savelberg, M van den Homberg, J Zatarain Salazar, Y Casali, T Comes EGU General Assembly Conference Abstracts, EGU-12544, 2023 | | 2023 |
| Methods Matter: Social Vulnerability Assessment Changes Drastically for Hierarchical and Inductive Approaches-a Case Study from Burkina Faso L Savelberg, Y Casali, M van den Homberg, J Zatarain Salazar, T Comes Available at SSRN 4575377, 0 | | |
| Machine learning for spatial analyses in urban areas: a scoping Y Casali, NA Yonca, T Comes, Y Casali | | |
Nazli Yonca AydinAssistant Professor, TPM, TU DelftVerified email at tudelft.nl
