Takahiro Yabe
Orcid: 0000-0001-8967-1967
According to our database1,
Takahiro Yabe
authored at least 44 papers
between 2016 and 2024.
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Bibliography
2024
Nationwide synthetic human mobility dataset construction from limited travel surveys and open data.
Comput. Aided Civ. Infrastructure Eng., November, 2024
Nat. Comput. Sci., July, 2024
Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics.
J. Open Source Softw., March, 2024
YJMob100K: City-Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories.
Dataset, March, 2024
Comput. Environ. Urban Syst., 2024
The great equalizer? Mixed effects of social infrastructure on diverse encounters in cities.
Comput. Environ. Urban Syst., 2024
2023
YJMob100K: City-Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories.
Dataset, November, 2023
Metropolitan Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories.
CoRR, 2023
Building a Healthier Feed: Private Location Trace Intersection Driven Feed Recommendations.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2023
2022
Comput. Environ. Urban Syst., 2022
Mobile phone location data for disasters: A review from natural hazards and epidemics.
Comput. Environ. Urban Syst., 2022
Quantifying the spatial homogeneity of urban road networks via graph neural networks.
Nat. Mach. Intell., 2022
Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data.
CoRR, 2022
Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
2021
Multiwave COVID-19 Prediction via Social Awareness-Based Graph Neural Networks using Mobility and Web Search Data.
CoRR, 2021
Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data.
CoRR, 2021
Improving Land Use Classification using Human Mobility-based Hierarchical Place Embeddings.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021
2020
Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach.
EPJ Data Sci., 2020
Early Warning of COVID-19 Hotspots using Mobility of High Risk Users from Web Search Queries.
CoRR, 2020
Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach.
CoRR, 2020
Learning Fine Grained Place Embeddings with Spatial Hierarchy from Human Mobility Trajectories.
CoRR, 2020
Correction to: Mobile phone data reveals the importance of pre-disaster inter-city social ties for recovery after Hurricane Maria.
Appl. Netw. Sci., 2020
Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Enabling Finer Grained Place Embeddings using Spatial Hierarchy from Human Mobility Trajectories.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
2019
ACM SIGSPATIAL Special, 2019
Integrating information from heterogeneous networks on social media to predict post-disaster returning behavior.
J. Comput. Sci., 2019
Mobile phone data reveals the importance of pre-disaster inter-city social ties for recovery after Hurricane Maria.
Appl. Netw. Sci., 2019
Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
2018
ACM SIGSPATIAL Special, 2018
Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data.
CoRR, 2018
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018
Fusion of Terrain Information and Mobile Phone Location Data for Flood Area Detection in Rural Areas.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
ACM SIGSPATIAL Special, 2017
CityFlowFragility: Measuring the Fragility of People Flow in Cities to Disasters using GPS Data Collected from Smartphones.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Modeling and reproducing human daily travel behavior from GPS data: A Markov Decision Process approach.
Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility, 2017
2016
Predicting irregular individual movement following frequent mid-level disasters using location data from smartphones.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
A framework for evacuation hotspot detection after large scale disasters using location data from smartphones: case study of Kumamoto earthquake.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
Particle filter for real-time human mobility prediction following unprecedented disaster.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016