Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 30
| Issue Date | Title | Author(s) |
| 3-Mar-2024 | Moving from classical towards machine learning stances for bus passengers’ alighting estimation: A comparison of state-of-the-art approaches in the city of Lisbon | Cerqueira, S.; Arsénio, E.; Barateiro, J.; Henriques, R. |
| 13-Dec-2023 | Determinants of shared e-scooters usage in the city of Braga: results from a mobility survey and trip data analysis | Dias, G.; Ribeiro , P; Arsénio, E. |
| 13-Dec-2023 | Planning for more resilient urban transport systems: Lessons learned from the Covid-19 pandemic | Bubicz, M.; Arsénio, E.; Barateiro, J.; Henriques, R. |
| 13-Dec-2023 | Is there any best practice principles to estimate bus alighting passengers from incomplete smart card transactions? | Cerqueira, S.; Arsénio, E.; Henriques, R. |
| 13-Dec-2023 | Transport infrastructures and mobility for Portugal 2030:insights from the environmental assessment study of the naional investments' plan | Arsénio, E.; Macedo, A. L.; Rodrigues, M.; Marques da Costa, E. |
| 9-May-2023 | Spatiotemporal trip profiles in public transportation reveal city modular structure | Aparício, J.; Arsénio, E.; Santos, F.; Henriques, R. |
| 17-Nov-2022 | Transport infrastructures and mobility for Portugal 2030: insights from the environmental assessment study of the national investments’ plan | Arsénio, E.; Macedo, A. L.; Rodrigues, M.; Marques da Costa, E. |
| Jun-2022 | Assessing robustness in multimodal transportation systems: a case study in Lisbon | Aparício, J.; Arsénio, E.; Henriques, R. |
| 13-Sep-2022 | Inference of dynamic origin-destination matrices with trip and transfer status from individual smart card data | Cerqueira, S.; Arsénio, E.; Henriques, R. |
| 21-Dec-2021 | Integrative analysis of multimodal traffic data: addressing open challenges using big data analytics in the city of Lisbon | Lemonde, C.; Arsénio, E.; Henriques, R. |
| 25-Nov-2021 | On how to incorporate public sources of situational context in descriptive and predictive models of traffic data | Cerqueira, S.; Arsénio, E.; Henriques, R. |
| 14-Sep-2021 | Analysis of e-scooter usage in Portugal to contribute to sustainable mobility planning | Dias, G.; Ribeiro , P; Arsénio, E. |
| 13-Sep-2021 | How to ensure the provision of social inclusive bus services? A strategic case study in Lisbon | Sacoor, H.; Arsénio, E.; Cardoso, E.; Barateiro, J. |
| 15-Sep-2021 | Assessing Robustness in Multimodal Transportation Systems: A case study in Lisbon | Aparício, J.; Arsénio, E.; Henriques, R. |
| 26-Jul-2021 | Understanding the impacts of the covid-19 pandemic on public transportation travel patterns in the city of Lisbon | Aparício, J.; Arsénio, E.; Henriques, R. |
| 24-Jun-2021 | The role of shared e-scooter systems in urban sustainability and resilience during the covid-19 mobility restrictions | Dias, G.; Arsénio, E.; Ribeiro , P |
| Apr-2020 | Assessing Future Use of Autonomous, Shared and Electric Vehicle Technologies To Meet Decarbonisation Goals: a case study in Lisbon | Arsénio, E.; Romão, M.; Gomes, J.; Prata, J. |
| 11-Sep-2020 | Exploring multimodal mobility patterns with big data in the city of Lisbon | Lemonde, C.; Arsénio, E.; Henriques, R. |
| Sep-2020 | Integrative analysis of traffic and situational context data to support urban mobility planning | Cerqueira, S.; Arsénio, E.; Henriques, R. |
| 3-Oct-2020 | Assessing multimodal mobility trends using heterogeneous data sources: a case study for supporting sustainable policy goals within the region of Algarve | Arsénio, E.; Silva, S.; Pereira, H.; Domingues, A. |
Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 30
