for full list, please see my Google Scholar, ResearchGate

Awards: 

  • STV Civil Engineering Graduate Assistantship Endowment Award, Purdue University, 10.2020

  • Student Registration Award, ACM KDD Conference, 8. 2020

  • UJA Best Presenter Award, Japan XR Science Forum, 8. 2020

  • EISG Student Merit Award Finalist, Engineering and Infrastructure Specialty Group of the Society for Risk Analysis, 2019.12

  • Travel Award, Annual Meeting of the Society for Risk Analysis, 2019.12

  • Student Travel Award, ACM SIGSPATIAL International Conference on Advances in GIS, 2019.11

  • Poster Competition 2nd Prize, NetMob 2019 (the main conference on the scientific analysis of mobile phone datasets), 2019.07

  • Outstanding Speaker Award, Purdue Institute of Transportation Engineers, 2019.04

  • Best Presentation Award, 25th Annual Conference of the Geographical Information Systems Association of Japan, 2016.10

Grants:

  • Doctoral Systems Fellowship, Purdue Systems Collaboratory, 2018.08

  • Research Fellowship for Young Scientists (DC1), Japan Society for the Promotion of Science, 2017.04

  • Doctoral Student Scholarship ($3000), Graduate School of Engineering, The University of Tokyo, 2016.09

  • Overseas Research Scholarship ($4000), Graduate School of Engineering, The University of Tokyo, 2016.03

Journal Publications:

  • Yabe, T., Zhang, Y., Ukkusuri, S. V. Quantifying the Economic Impact of Disasters on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach. EPJ Data Science, 2020. 

  • Yabe, T., Rao, P.S.C., Ukkusuri, S. V. Regional Differences in Resilience of Social and Physical Systems: Case Study of Puerto Rico after Hurricane Maria. Environment and Planning B: Urban Analytics and City Science, 2020

  • Yabe, T., Tsubouchi, K., Fujiwara, N., Wada, T., Sekimoto, Y., Ukkusuri, S. V. Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic. Scientific Reports, 2020

  • Ukkusuri, S. V., Yabe, T., Seetharam, K. E. Non-Pharmaceutical Interventions for COVID-19: Evidence from Large-Scale Mobility Data in Tokyo. Asian Development Bank Policy Briefs, 2020

  • Yabe, T., Tsubouchi, K., Fujiwara, N., Sekimoto, Y., Ukkusuri, S. V. Understanding Post-Disaster Population Recovery Patterns, Journal of the Royal Society Interface, 2020

  • Yabe, T., Ukkusuri, S. V. Effects of Income Inequality on Evacuation, Reentry and Segregation after Disasters, Transportation Research Part D: Transport and Environment, 2020

  • Yabe, T., Ukkusuri, S. V., Rao, P.S.C., Mobile Phone Data Reveals the Importance of Inter-City Social Connectivity for Recovery after Hurricane Maria, Applied Network Science 4 (1):98, 2019

  • Yabe, T., Tsubouchi, K., Sekimoto, Y., Ikemoto, S., Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data, PLoS one 14 (2), 2019

  • Yabe, T., Ukkusuri, S. V., Integrating Information from Heterogeneous Networks on Social Media to Predict Post-Disaster Returning Behavior, Journal of Computational Science, 32, 12-20, 2019

  • Yabe, T., Tsubouchi, K., Sekimoto, Y., “CityFlowFragility: Measuring the Fragility of People Flow in Cities to Disasters using GPS Data Collected from Smartphones.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 1, Issue 3, 117

  • Yabe, T., Sekimoto, Y., Sudo, A., Tsubouchi, K., "Predicting Delay of Commuting Activities following Frequently Occurring Disasters using Location Data from Smartphones", Journal of Disaster Research, Vol.12 No.2, pp. 287-295, 2017. 

  • Sudo, A., Kashiyama, K., Yabe, T., Kanasugi, H., Sekimoto, Y., "Human Mobility Estimation Following Massive Disaster Using Filtering Approach", Journal of Disaster Research, vol.11, no.2, pp. 217-224, 2016.

  • Yabe, T., Sekimoto, Y., Kashiyama, T., Kanasugi, H., Sudo, A., "Real time movement prediction after natural disasters using data assimilation", Journal of Transportation Engineering, Japanese Society of Transportation Engineering, Vol. 2 No. 2, pp. 19-27, 2016 (in Japanese)

Selected Conference Proceedings:

  • Yabe, T., Tsubouchi, K., Shimizu, T., Sekimoto, Y., Ukkusuri, S. V. Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020 (Acceptance rate: 14%)

  • Yabe, T., Tsubouchi, K., Shimizu, T., Sekimoto, Y., Ukkusuri, S.V., City2City: Translating Place Representations across Cities, Accepted at Proceedings of ACM SIGSPATIAL 2019 (Acceptance rate = 20%)

  • Yabe, T., Tsubouchi, K., Shimizu, T., Sekimoto, Y., Ukkusuri, S.V., Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior, Proceedings of ACM KDD 2019 (Acceptance rate = 20%)

  • Yabe, T., Tsubouchi, K., Sekimoto, Y.,Fusion of Terrain Information and Mobile Phone Location Data for Flood Area Detection in Rural Areas, Proceedings of IEEE International Conference on Big Data, 2018 (Acceptance rate = 17%)

  • Kumar, D., Yabe, T., Ukkusuri, S.V., Social-Media aided Hyperlocal Help-Network Matching & Routing during Emergencies, Proceedings of IEEE International Conference on Big Data, 2018 (Acceptance rate = 17%)

  • Pang, Y., Tsubouchi, K., Yabe, T., Sekimoto, Y., Replicating urban dynamics by generating human-like agents from smartphone GPS data, Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, 2016. (Acceptance rate = 18%)

  • Yabe, T., Tsubouchi, K., Sudo, A., Sekimoto, Y., "A Framework for Evacuation Hotspot Detection after Large Scale Disasters using Location Data from Smartphones: Case Study of Kumamoto Earthquake", Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, 2016. (Acceptance rate = 18%)

  • Yabe, T., Tsubouchi, K., Sudo, A., Sekimoto, Y., "Predicting Irregular Individual Movement following Frequent Mid-Level Disasters using Location Data from Smartphones", Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, 2016. (poster presentation)

  • Sudo, A., Kashiyama, T., Yabe, T., Kanasugi, H., Song, X., Higuchi, T., Nakano, S., Saito, M., Sekimoto, Y., "Particle Filter for Real-time Human Mobility Prediction following Unprecedented Disaster", Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, 2016. (Acceptance rate = 18%)

  • Yabe, T., Sekimoto, Y., Kanasugi, Y., Kashiyama, T., "Making Real-Time Predictions of People’s Irregular Movement in a Metropolitan Scale under Disaster Situations", 14th International Conference on Computers in Urban Planning and Urban Management (CUPUM), Boston, USA, 2015. 7. 7-10.

Dissertations: 

  • PhD dissertation, "Resilience of Coupled Urban Socio-Physical Systems to Disasters", Lyles School of Civil Engineering, Purdue University, 2021.04 (expected)

  • Masters thesis, "Modelling Evacuation Behavior after Various Disasters using Mobile Phone GPS Dataset", Department of Civil Engineering, University of Tokyo, 2017.03

  • Bachelors thesis, "Real-Time Urban Scale Movement Predictions after Disasters using Mobile Phone Location Data", Department of Civil Engineering, University of Tokyo, 2015.03