Patrícia Sauri Lavieri
Biographic Data
| ID | 6580906 |
|---|---|
| NAME | Patrícia Sauri Lavieri |
| GIVEN NAMES | Patrícia Sauri |
| FAMILY NAME | Lavieri |
| SIGNATURE | LAVIERI P S |
| AFFILIATIONS | The University of Melbourne |
| ORCID | 0000-0002-9323-832X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Enhanced utility estimation algorithm for discrete choice models in travel demand forecasting
Recent data-driven discrete choice models in travel demand forecasting have achieved improved predictability. However, such prediction improvements come at the cost of black-box models and lost transparency in travel demand forecasting, which makes scenario testing and transportation planning difficult (if not impossible). Furthermore, these predictability gains have often been modest compared to handcrafted parsimonious models, which benefit fro…
Electric vehicle charging dissonance
Modelling driver's response to demand management strategies for electric vehicle charging in Australia
Electric vehicles (EVs) can help decarbonise transport as long as the energy sector successfully balances the electricity supply with the demand and maximises the use of renewable resources. For that, demand-side management strategies are necessary to encourage users to charge at certain times through time-of-use (ToU) tariffs or to control the load provided for charging (i.e., supplier-managed charging). However, adapting to different charging t…
A behavioral choice model of the use of car-sharing and ride-sourcing services
Modelling driver's response to demand management strategies for electric vehicle charging in Australia
Electric vehicles (EVs) can help decarbonise transport as long as the energy sector successfully balances the electricity supply with the demand and maximises the use of renewable resources. For that, demand-side management strategies are necessary to encourage users to charge at certain times through time-of-use (ToU) tariffs or to control the load provided for charging (i.e., supplier-managed charging). However, adapting to different charging t…
A behavioral choice model of the use of car-sharing and ride-sourcing services
Modelling driver's response to demand management strategies for electric vehicle charging in Australia
Electric vehicles (EVs) can help decarbonise transport as long as the energy sector successfully balances the electricity supply with the demand and maximises the use of renewable resources. For that, demand-side management strategies are necessary to encourage users to charge at certain times through time-of-use (ToU) tariffs or to control the load provided for charging (i.e., supplier-managed charging). However, adapting to different charging t…
Enhanced utility estimation algorithm for discrete choice models in travel demand forecasting
Recent data-driven discrete choice models in travel demand forecasting have achieved improved predictability. However, such prediction improvements come at the cost of black-box models and lost transparency in travel demand forecasting, which makes scenario testing and transportation planning difficult (if not impossible). Furthermore, these predictability gains have often been modest compared to handcrafted parsimonious models, which benefit fro…
Electric vehicle charging dissonance
Economics (3 works) · Transportation and Mobility Innovations (3 works) · Urban Transport and Accessibility (3 works) · Business (2 works) · Computer Science (2 works) · Econometrics (2 works) · Electric vehicle (2 works) · Electric Vehicles and Infrastructure (2 works) · Engineering (2 works) · Estimation (2 works)