| Generating macroscopic, purpose-dependent trips through Monte Carlo sampling techniques A Scheffer, G Cantelmo, F Viti Transportation Research Procedia 27, 585-592, 2017 | 10 | 2017 |
| Trip chaining impact on within-day mode choice dynamics: Evidences from a multi-day travel survey A Scheffer, R Connors, F Viti Transportation Research Procedia 52, 684-691, 2021 | 8 | 2021 |
| Quantifying the Relation between Activity Pattern Complexity and Car Use Using a Partial Least Square Structural Equation Model F Sprumont, A Scheffer, G Caruso, E Cornelis, F Viti Sustainability 14 (19), 12101, 2022 | 2 | 2022 |
| Dynamic Activity-Based Demand Estimation Considering Destination And Mode Choice AHM Scheffer Unilu-University of Luxembourg, Esch-sur-Alzette, Luxembourg, 2022 | | 2022 |
| Dynamic Modal Split Incorporating Trip Chaining: A Parsimonious Approach to Mode-Specific Demand Estimation A Scheffer, R Connors, F Viti Transportation Research Procedia 62, 253-260, 2022 | | 2022 |
| ESTIMATION OF MACROSCOPIC ACTIVITY-TRAVEL DEMAND: A UTILITY MAXIMIZATION APPROACH AHM Scheffer, R Connors, F Viti 25th International Conference of Hong Kong Society for Transportation …, 2021 | | 2021 |
| A Bayesian approach to activity-specific demand estimation AHM Scheffer, R Connors, F Viti BIVEC Transport Research Days, 2021 | | 2021 |
| On the Relationship between Activity Pattern Complexity and Car Use: A Structural Equation Modelling Approach F Viti, F Sprumont, AHM Scheffer | | 2020 |
| A Markov Chain Monte Carlo Approach for Estimating Daily Activity Patterns AHM Scheffer, C Bandiera, G Cantelmo, E Cipriani, F Viti Transportation Research Board TRB Annual Meeting, 2019 | | 2019 |
| Generating purpose-dependent production factors through Monte Carlo sampling techniques. AHM Scheffer, G Cantelmo, F Viti | | 2017 |
