Giancarlos Parady
Biographic Data
| ID | 6581126 |
|---|---|
| NAME | Giancarlos Parady |
| GIVEN NAMES | Giancarlos |
| FAMILY NAME | Parady |
| SIGNATURE | PARADY G |
| AFFILIATIONS | The University of Tokyo |
| ORCID | 0000-0002-7581-774X |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Autonomous Vehicles and Travel Behavior
Autonomous vehicles (AVs) are believed to be the next gamechanger in transportation systems. They will lead to increasing “passengerization” of travel, that is, drivers will more often become passengers. From the travel behavior perspective, it means the way people perceive vehicles or travel (i.e., attitudes or perceptions) as well as how people evaluate their time spent in vehicles (i.e., value of travel time) will eventually change. Accordingl…
A co-evolutionary simulation of social network and activity engagement
This study proposes a simulation framework for the co-evolution process between social networks and activity engagement. The framework features a clear model specification strategy and an algorithm enabling population-wide network inference. Data collection combines social network surveys and activity diaries, allowing for the use of standard statistical modeling methods. The performance of the proposed framework was tested by focusing on how int…
Text-aided Group Decision-making Process Observation Method (x-GDP)
Joint travel decisions, particularly related to social activities remain poorly explained in traditional behavioral models. A key reason for this is the lack of empirical data, and the difficulties associated with collecting such data in the first place. To address this problem, we propose Text-aided Group Decision-making Process Observation Method (x-GDP), a novel survey methodology to collect data on joint activities from all members of a given…
Going the extra mile
Most leisure activities are carried out jointly with friends or family; therefore, the decision on where to travel is highly dependent on the spatio-temporal constraints of all members of the group. Using data from Tokyo, Japan, this study is the first to develop a joint destination choice model that explicitly integrates such constraints based on revealed preferences of all members. Such a model allows for the derivation of a new measure to quan…
A walker's paradise ain't a driver's hell
This study uses a natural experiment approach to evaluate the causal effect of three regular road pedestrianization schemes in Central Tokyo on traffic conditions in surrounding areas. Cross-sectional traffic volume data collected by the Metropolitan Police Department via traffic counters was used as the dependent variable and causal effect evaluation was done via a difference-in-differences (DID) approach, where the temporal pedestrianization of…
Size matters
In this paper we review the academic transportation literature published between 2014 and 2018 to evaluate where the field stands regarding the use and misuse of statistical significance in empirical analysis, with a focus on discrete choice models. Our results show that 39% of studies explained model results exclusively based on the sign of the coefficient, 67% of studies did not distinguish statistical significance from economic, policy or scie…
Modeling joint eating-out destination choices incorporating group-level impedance
Egocentric social networks and social interactions in the Greater Tokyo Area
A comparative study of social interaction frequencies among social network members in five countries
Analysis of social networks, social interactions, and out-of-home leisure activity generation
Analysis of social networks, social interactions, and out-of-home leisure activity generation
Egocentric social networks and social interactions in the Greater Tokyo Area
A comparative study of social interaction frequencies among social network members in five countries
Modeling joint eating-out destination choices incorporating group-level impedance
Size matters
In this paper we review the academic transportation literature published between 2014 and 2018 to evaluate where the field stands regarding the use and misuse of statistical significance in empirical analysis, with a focus on discrete choice models. Our results show that 39% of studies explained model results exclusively based on the sign of the coefficient, 67% of studies did not distinguish statistical significance from economic, policy or scie…
Autonomous Vehicles and Travel Behavior
Autonomous vehicles (AVs) are believed to be the next gamechanger in transportation systems. They will lead to increasing “passengerization” of travel, that is, drivers will more often become passengers. From the travel behavior perspective, it means the way people perceive vehicles or travel (i.e., attitudes or perceptions) as well as how people evaluate their time spent in vehicles (i.e., value of travel time) will eventually change. Accordingl…
A co-evolutionary simulation of social network and activity engagement
This study proposes a simulation framework for the co-evolution process between social networks and activity engagement. The framework features a clear model specification strategy and an algorithm enabling population-wide network inference. Data collection combines social network surveys and activity diaries, allowing for the use of standard statistical modeling methods. The performance of the proposed framework was tested by focusing on how int…
Text-aided Group Decision-making Process Observation Method (x-GDP)
Joint travel decisions, particularly related to social activities remain poorly explained in traditional behavioral models. A key reason for this is the lack of empirical data, and the difficulties associated with collecting such data in the first place. To address this problem, we propose Text-aided Group Decision-making Process Observation Method (x-GDP), a novel survey methodology to collect data on joint activities from all members of a given…
Going the extra mile
Most leisure activities are carried out jointly with friends or family; therefore, the decision on where to travel is highly dependent on the spatio-temporal constraints of all members of the group. Using data from Tokyo, Japan, this study is the first to develop a joint destination choice model that explicitly integrates such constraints based on revealed preferences of all members. Such a model allows for the derivation of a new measure to quan…
A walker's paradise ain't a driver's hell
This study uses a natural experiment approach to evaluate the causal effect of three regular road pedestrianization schemes in Central Tokyo on traffic conditions in surrounding areas. Cross-sectional traffic volume data collected by the Metropolitan Police Department via traffic counters was used as the dependent variable and causal effect evaluation was done via a difference-in-differences (DID) approach, where the temporal pedestrianization of…
Computer Science (7 works) · Geography (5 works) · Transportation Planning and Optimization (5 works) · Urban Transport and Accessibility (5 works) · Econometrics (4 works) · Mathematics (4 works) · Psychology (4 works) · Social Psychology (4 works) · Sociology (4 works) · Complex Network Analysis Techniques (3 works)