Development of an activity-based model incorporating mid- to long-term social network data

Survey/Experiment Data

3. Observing the joint decision making process for leisure activities (2022)

2. Panel data on travel behavior changes during the COVID-19 pandemic in Japan (2020-2021)

1. Joint activity detection using Google maps location history data (2020)

Research Output

Working papers

3. Parady, G., Oyama, Y., Chikaraishi M.: Understanding the joint decision-making process of leisure destination choices: Exploring new methodologies

2. Parady, G., Axhausen K.W.: Size Matters: The Use and Misuse of Statistical Significance in Discrete Choice Models in the Transportation Academic Literature

1. Han, C., Luo, L., Parady, G., Takami, K., Chikaraishi, M., Harata N.: Modeling joint eating-out destination choice incorporating group utility.

Peer-reviewed journal articles

5. Mori, R., Araki, M., Parady, G., Takami, K., Taniguchi, A. (2023): Analyzing the effect of social influence on going-out self-restraint behavior during the COVID-19 pandemic using mobile spatial statistics Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   Accepted (In Japanese)

4. Parady, G., Suzuki,K., Oyama, Y., Chikaraishi, M. (2023) Activity detection with Google Maps Location History data: factors affecting joint activity detection probability and its potential application on real social networks. Travel Behaviour and Society 30

3. Chikaraishi, M., Parady, G., Harata, N., Swarnali, D., Takami, K. (2022) Survey, model and simulation methods for endogenous generation of social networks. Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   (In Japanese)

2. Parady, G., Taniguchi, A., Takami, K. (2020) Travel behavior changes during the COVID-19 pandemic in Japan: Analyzing the effects of risk perception and social influence on going-out self-restriction. Transportation Research Interdisciplinary Perspectives 7, 100181 (Open Access)

1. Parady G., Ory, D., Walker, J.  (2021) The overreliance on statistical goodness of fit and under-reliance on validation in discrete choice models: A review of validation practices in the transportation academic literature . Journal of Choice Modelling 38, 100257 (Open Access)

Conference presentations

10. Parady, G., Axhausen K.W.: Size Matters: The Use and Misuse of Statistical Significance in Discrete Choice Models in the Transportation Academic Literature Presented at the 102nd TRB Annual Meeting, Washington D.C. USA, January 8-12.

9. Parady, G., Oyama, Y., Chikaraishi M.: Understanding the joint decision-making process of leisure destination choices: Exploring new methodologies. Presented at the 16th International Conference on Travel Behavior Research, Santiago, Chile, December 11-15**

8. パラディジアンカルロス、鈴木啓太、大山雄己、力石真:Googleマップロケーション履歴を用いた社会的ネットワークにおける同伴活動検出の有効性評価, 第66回土木計画学研究発表会・秋大会、2022

7. パラディジアンカルロス、アクスハウセン カイ:交通計画の学術文献における統計的有意性の使用と誤用 ―離散選択モデルを中心として―, 第66回土木計画学研究発表会・秋大会、2022

6. Han, C., Luo, L., Parady, G., Takami, K., Chikaraishi, M., Harata N. (2022) Modeling joint eating-out destination choice incorporating group utility. Presented at the International Conference of Asian-Pacific Planning Societies 2022、August 18-20.

5. 森隆慶, パラディ ジアンカルロス,高見淳史, 谷口綾子: 新型コロナウイルス蔓延下での個人の外出自粛行動に対する社会的影響に関する研究 ―モバイル空間統計を活用して― 第65回土木計画学研究発表会・春大会, 2022年6月.

4. Suzuki, K., Oyama, Y., Chikaraishi,M., Parady, G. (2021) The effectiveness of using Google Maps Location History data to detect joint activities in social networks. Presented at the 3rd Bridging Transportation Researchers conference, August 5-6.

3. 石橋拓海, 谷口綾子, Giancarlos Parady, 高見淳史: COVID-19蔓延初期の行動変容と要因の日英独三カ国比較  第63回土木計画学研究発表会・春大会, 2020年6月.

2. 力石真,パラディ ジアンカルロス,原田昇,Swarnali Dihingia,高見淳史:活動参加を通じたソーシャルネットワーク発展過程のモデル化 第62回土木計画学研究発表会・秋大会、2020

1. Parady, G., Taniguchi, A., Takami, K. (2020) Analyzing Risk Perception and Social Influence Effects on Self-Restriction Behavior in Response to the COVID-19 Pandemic in Japan: First Results. Presented at the 2nd Bridging Transport conference, August 11-12.

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