Federico Rupi
Biographic Data
| ID | 3557661 |
|---|---|
| NAME | Federico Rupi |
| GIVEN NAMES | Federico |
| FAMILY NAME | Rupi |
| SIGNATURE | RUPI F |
| AFFILIATIONS | University of Bologna |
| ORCID | 0000-0001-8404-5684 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Superblock Design and Evaluation by a Microscopic Door-to-Door Simulation Approach
The present study contributes to narrowing down the research gap in modeling individual door-to-door trips in a superblock scenario and in evaluating the respective impacts in terms of travel times, modal shifts, traffic performance, and environmental benefits. The methods used are a multiple-criteria approach to identify the superblocks and a large-scale, multi-model, activity-based microscopic simulation. These methods were applied to the city …
Micro Transit Simulation of On-Demand Shuttles Based on Transit Data for First- and Last-Mile Connection
We simulate the introduction of shared, automated, and electric vehicles (SAEVs) providing on-demand shuttles service in a large-scale transport digital twin of the San Francisco Bay Area region (California, USA) based on transit supply and demand data, and using the mesoscopic agent-based Behavior, Energy, Autonomy, and Mobility beta software (BEAM) developed at the Lawrence Berkeley National Laboratory (LBNL). The main goal of this study is to …
Nonparametric Regression Analysis of Cyclist Waiting Times across Three Behavioral Typologies
This paper seeks to predict the average waiting time, defined as the time spent moving at 1 ms−1 or less, of urban bicyclists during rush hours while performing different maneuvers at intersections. Individual predictive models are built for the three cyclist typologies previously identified on a large database of GPS traces recorded in the city of Bologna, Italy. Individual models are built for the three cyclist typologies and bootstrapping has …
Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data
A large-scale agent-based microsimulation scenario including the transport modes car, bus, bicycle, scooter, and pedestrian, is built and validated for the city of Bologna (Italy) during the morning peak hour. Large-scale microsimulations enable the evaluation of city-wide effects of novel and complex transport technologies and services, such as intelligent traffic lights or shared autonomous vehicles. Large-scale microsimulations can be seen as …
The Role of Culture in Urban Travel Patterns
Introduction-culture is an interpretation code of societies, which may explain common preferences in a place. Prediction of alternative transport systems, which could be adopted in a city at peace can help urban transport planners and policy makers adjust urban environments in a more sustainable manner. This paper attempts to investigate the role of Hofstede's culture dimensions (HCD) on urban travel patterns in 87 urban areas and 41 countries. A…
The Role of Culture in Urban Travel Patterns
Introduction-culture is an interpretation code of societies, which may explain common preferences in a place. Prediction of alternative transport systems, which could be adopted in a city at peace can help urban transport planners and policy makers adjust urban environments in a more sustainable manner. This paper attempts to investigate the role of Hofstede's culture dimensions (HCD) on urban travel patterns in 87 urban areas and 41 countries. A…
The Role of Culture in Urban Travel Patterns
Introduction-culture is an interpretation code of societies, which may explain common preferences in a place. Prediction of alternative transport systems, which could be adopted in a city at peace can help urban transport planners and policy makers adjust urban environments in a more sustainable manner. This paper attempts to investigate the role of Hofstede's culture dimensions (HCD) on urban travel patterns in 87 urban areas and 41 countries. A…
Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data
A large-scale agent-based microsimulation scenario including the transport modes car, bus, bicycle, scooter, and pedestrian, is built and validated for the city of Bologna (Italy) during the morning peak hour. Large-scale microsimulations enable the evaluation of city-wide effects of novel and complex transport technologies and services, such as intelligent traffic lights or shared autonomous vehicles. Large-scale microsimulations can be seen as …
Nonparametric Regression Analysis of Cyclist Waiting Times across Three Behavioral Typologies
This paper seeks to predict the average waiting time, defined as the time spent moving at 1 ms−1 or less, of urban bicyclists during rush hours while performing different maneuvers at intersections. Individual predictive models are built for the three cyclist typologies previously identified on a large database of GPS traces recorded in the city of Bologna, Italy. Individual models are built for the three cyclist typologies and bootstrapping has …
Micro Transit Simulation of On-Demand Shuttles Based on Transit Data for First- and Last-Mile Connection
We simulate the introduction of shared, automated, and electric vehicles (SAEVs) providing on-demand shuttles service in a large-scale transport digital twin of the San Francisco Bay Area region (California, USA) based on transit supply and demand data, and using the mesoscopic agent-based Behavior, Energy, Autonomy, and Mobility beta software (BEAM) developed at the Lawrence Berkeley National Laboratory (LBNL). The main goal of this study is to …
Superblock Design and Evaluation by a Microscopic Door-to-Door Simulation Approach
The present study contributes to narrowing down the research gap in modeling individual door-to-door trips in a superblock scenario and in evaluating the respective impacts in terms of travel times, modal shifts, traffic performance, and environmental benefits. The methods used are a multiple-criteria approach to identify the superblocks and a large-scale, multi-model, activity-based microscopic simulation. These methods were applied to the city …
Transportation Planning and Optimization (5 works) · Computer Science (4 works) · Engineering (3 works) · Geography (3 works) · Transport engineering (3 works) · Urban Transport and Accessibility (3 works) · Global Positioning System (2 works) · Public transport (2 works) · Traffic control and management (2 works) · Transportation and Mobility Innovations (2 works)