Giovanni Circella
Dados Biográficos
| ID | 6309348 |
|---|---|
| NOME | Giovanni Circella |
| PRENOMES | Giovanni |
| SOBRENOME | Circella |
| ASSINATURA | CIRCELLA G |
| AFILIAÇÕES | Georgia Institute of Technology |
| ORCID | 0000-0003-1832-396X |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 18 |
| TOTAL DE CITAÇÕES | 12 |
| TOTAL COMO AUTOR | 18 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2014 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 2 |
Household vehicle transactions during and after the pandemic
This paper investigates the factors affecting household vehicle transactions, including additions, removals, and replacements, in the past (spring 2020 to fall 2023) and in the anticipated future (fall 2023 to fall 2026). Using a two-wave panel dataset (n = 1612) from surveys conducted in the U.S., we explore a broad set of hypotheses concerning vehicle transaction dynamics over time. An integrated choice and latent variable model identifies the …
Just another ride-hailing? examining the determinants of robotaxi demand in San Francisco
Not all ride-hailing trips are created equal
How will people spend travel time in autonomous vehicles? A four-region study focusing on heterogeneous preferences
This study investigates heterogeneous preferences for in-vehicle activities in autonomous vehicles (AVs). Using a rich survey dataset (N = 3,376) collected across four regions in the southern United States between June 2019 and March 2020, and weighted to represent the study population, latent-class cluster analysis (LCCA) was conducted. This analysis identifies latent classes with distinct combinations of preferred in-vehicle activities, separat…
Combining disparate surveys across time to study satisfaction with life
Satisfaction with life is a self-reported measure of the quality of life that has become a critical societal indicator extensively used for the evaluation and comparison of a wide range of trends and policies. This study fuses five cross-sectional travel surveys conducted from 1992 to 2018 across various geographical locations in California. Using the fused sample, we develop generalized ordered logit models to examine the effects of demographic …
Exploring the potential role of bikeshare to complement public transit
Perceptions of change in the environment caused by the Covid-19 pandemic
Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributes
What drives the gap? Applying the Blinder–Oaxaca decomposition method to examine generational differences in transportation-related attitudes
Considerable recent work suggests that Millennials’ behaviors may be converging with those of Generation X as they enter later life stages, but few have investigated whether attitudes, which are often strong predictors of behavior, are undergoing the same convergence. In this study, we analyze the existing generational gap in four transportation-related attitudes ( currently pro-urban, long - term pro-urban, pro-car ownership, and pro-environment…
Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuters
Millennials, the demographic cohort born in the last two decades of the twentieth century, are reported to adopt information and communication technologies (ICTs) in their everyday lives, including travel, to a greater extent than older generations. As ICT-driven travel-based multitasking influences travelers’ experience and satisfaction in various ways, millennials are expected to be affected at a greater scale. Still, to our knowledge, no previ…
A deeper investigation into the effect of the built environment on the use of ridehailing for non-work travel
Equitable distribution of bikeshare stations
Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California
Millennials in cities
What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services in California
Projecting travelers into a world of self-driving vehicles
The estimation of changes in rail ridership through an onboard survey
Enabling Future Sustainability Transitions
This synthesis article presents an overview of an urban metabolism (UM) approach using mixed methods and multiple sources of data for Los Angeles, California. We examine electric energy use in buildings and greenhouse gas emissions from electricity, and calculate embedded infrastructure life cycle effects, water use and solid waste streams in an attempt to better understand the urban flows and sinks in the Los Angeles region (city and county). Th…
Enabling Future Sustainability Transitions
This synthesis article presents an overview of an urban metabolism (UM) approach using mixed methods and multiple sources of data for Los Angeles, California. We examine electric energy use in buildings and greenhouse gas emissions from electricity, and calculate embedded infrastructure life cycle effects, water use and solid waste streams in an attempt to better understand the urban flows and sinks in the Los Angeles region (city and county). Th…
The estimation of changes in rail ridership through an onboard survey
What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services in California
Projecting travelers into a world of self-driving vehicles
Millennials in cities
Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California
Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributes
What drives the gap? Applying the Blinder–Oaxaca decomposition method to examine generational differences in transportation-related attitudes
Considerable recent work suggests that Millennials’ behaviors may be converging with those of Generation X as they enter later life stages, but few have investigated whether attitudes, which are often strong predictors of behavior, are undergoing the same convergence. In this study, we analyze the existing generational gap in four transportation-related attitudes ( currently pro-urban, long - term pro-urban, pro-car ownership, and pro-environment…
Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuters
Millennials, the demographic cohort born in the last two decades of the twentieth century, are reported to adopt information and communication technologies (ICTs) in their everyday lives, including travel, to a greater extent than older generations. As ICT-driven travel-based multitasking influences travelers’ experience and satisfaction in various ways, millennials are expected to be affected at a greater scale. Still, to our knowledge, no previ…
A deeper investigation into the effect of the built environment on the use of ridehailing for non-work travel
Equitable distribution of bikeshare stations
Combining disparate surveys across time to study satisfaction with life
Satisfaction with life is a self-reported measure of the quality of life that has become a critical societal indicator extensively used for the evaluation and comparison of a wide range of trends and policies. This study fuses five cross-sectional travel surveys conducted from 1992 to 2018 across various geographical locations in California. Using the fused sample, we develop generalized ordered logit models to examine the effects of demographic …
Exploring the potential role of bikeshare to complement public transit
Perceptions of change in the environment caused by the Covid-19 pandemic
Not all ride-hailing trips are created equal
How will people spend travel time in autonomous vehicles? A four-region study focusing on heterogeneous preferences
This study investigates heterogeneous preferences for in-vehicle activities in autonomous vehicles (AVs). Using a rich survey dataset (N = 3,376) collected across four regions in the southern United States between June 2019 and March 2020, and weighted to represent the study population, latent-class cluster analysis (LCCA) was conducted. This analysis identifies latent classes with distinct combinations of preferred in-vehicle activities, separat…
Household vehicle transactions during and after the pandemic
This paper investigates the factors affecting household vehicle transactions, including additions, removals, and replacements, in the past (spring 2020 to fall 2023) and in the anticipated future (fall 2023 to fall 2026). Using a two-wave panel dataset (n = 1612) from surveys conducted in the U.S., we explore a broad set of hypotheses concerning vehicle transaction dynamics over time. An integrated choice and latent variable model identifies the …
Just another ride-hailing? examining the determinants of robotaxi demand in San Francisco
Urban Transport and Accessibility (15 obras) · Engineering (13 obras) · Business (12 obras) · Economics (12 obras) · Transport engineering (11 obras) · Transportation and Mobility Innovations (10 obras) · Transportation Planning and Optimization (10 obras) · Computer Science (9 obras) · Travel behavior (8 obras) · Psychology (7 obras)