| Understanding bikeability: a methodology to assess urban networks G Reggiani, T Van Oijen, H Hamedmoghadam, W Daamen, HL Vu, ... Transportation 49 (3), 897-925, 2022 | 54 | 2022 |
| Bicycle network needs, solutions, and data collection systems: A theoretical framework and case studies G Reggiani, AM Salomons, M Sterk, Y Yuan, S O’Hern, W Daamen, ... Case studies on transport policy 10 (2), 927-939, 2022 | 15 | 2022 |
| A multi-city study on structural characteristics of bicycle networks G Reggiani, T Verma, W Daamen, S Hoogendoorn Environment and Planning B: Urban Analytics and City Science 50 (8), 2017-2037, 2023 | 7 | 2023 |
| Clustering-based methodology for estimating bicycle accumulation levels on signalized links: a case study from the Netherlands G Reggiani, A Dabiri, W Daamen, S Hoogendoorn 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1788-1793, 2019 | 5 | 2019 |
| A multiscale view on bikeability of urban networks G Reggiani TRAIL, 2022 | 2 | 2022 |
| Exploring the Potential of Neural Networks for Bicycle Travel Time Estimation G Reggiani, A Dabiri, W Daamen, SP Hoogendoorn Traffic and Granular Flow 2019, 487-493, 2020 | 2 | 2020 |
| Clustering-based methodology for estimating bicycle accumulation levels on signalized links G Reggiani, A Dabiri, W Daamen, SP Hoogendoorn | 1 | 2019 |
| Case Studies on Transport Policy M Regan, J Smith, PED Love | | 2017 |
