activity
20222026
most citedSize Matters: The Use and Misuse of Statistical Significance in Discrete Choice Models in the Transportation Academic Literature

25 citations · 64 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CE2026

Evaluating Transit Accessibility to Education and Effects of Operational Delays in Japanese Regional Cities: A Case Study of Matsumoto City

Itsuki Sato, Kiyoshi Takami, Giancarlos Parady

Realistic assessments of school commuting accessibility in areas with infrequent public transport services require accounting for operational delays; however, the impact of these d…

cs.CL2026

Can large language models interpret unstructured chat data on dynamic group decision-making processes? Evidence on joint destination choice

Sung-Yoo Lim, Koki Sato, Kiyoshi Takami +2

Social activities result from complex joint activity-travel decisions between group members. While observing the decision-making process of these activities is difficult via tradit…

cs.SI2023★ 9 cited

Text-aided Group Decision-making Process Observation Method (x-GDP): A novel methodology for observing the joint decision-making process of travel choices

Giancarlos Parady, Yuki Oyama, Makoto Chikaraishi

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…

cs.SI2023★ 12 cited

Modeling joint eating-out destination choices incorporating group-level impedance: A case study of the Greater Tokyo Area

Chenglin Han, Lichen Luo, Giancarlos Parady +3

Individuals undertake both solo and joint activities as part of their overall activity-travel patterns. Compared to work and maintenance activities, social and leisure activities d…

stat.AP2022★ 1 cited

Evaluating the Impact of Automated Vehicles on Residential Location Distribution using Activity-based Accessibility: A Case Study of Japanese Regional Areas

Lichen Luo, Giancarlos Parady, Kiyoshi Takami

Automated Vehicles (AVs) are expected to disrupt the transport sector in the future. Extensive research efforts have been dedicated to studying its potential implications. However,…

stat.AP2022★ 17 cited

The effectiveness of using Google Maps Location History data to detect joint activities in social networks

Giancarlos Parady, Keita Suzuki, Yuki Oyama +1

This study evaluates the effectiveness of using Google Maps Location History data to identify joint activities in social networks. To do so, an experiment was conducted where parti…

stat.AP2022★ 25 cited

Size Matters: The Use and Misuse of Statistical Significance in Discrete Choice Models in the Transportation Academic Literature

Giancarlos Parady, Kay W. Axhausen

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 signif…