I have made a list of accepted papers and useful arxiv papers related to human mobility science. Welcome everybody to continue to complement! Additionally, if you are interested in graph learning, please refer to Graph-Learning-Reading-List and Dynamic (Temporal) Graph Learning Reading List created by my co-workers.
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2024 arxiv Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond
Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng
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2023 arxiv Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment
Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, Yong Li
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2023 arxiv Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives
Chen Gao, Xiaochong Lan, Nian Li, Yuan Yuan, Jingtao Ding, Zhilun Zhou, Fengli Xu, Yong Li
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2023 arxiv A Survey of Generative AI for Intelligent Transportation Systems
Huan Yan, Yong Li
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2023 Computing Surveys Generative Models for Synthetic Urban Mobility Data: A Systematic Literature Review
Alexandra Kapp, Julia Hansmeyer, Helena Mihaljević
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2022 Controllable Data Generation by Deep Learning: A Review
Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Zhaohui Qin, Liang Zhao
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2021 Computing Surveys A Survey on Trajectory Data Management, Analytics, and Learning
Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
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2021 Computing Surveys A Survey on Deep Learning for Human Mobility
Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, Luca Pappalardo
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2020 VLDB Journal A survey of trajectory distance measures and performance evaluation
Han Su, Shuncheng Liu, Bolong Zheng, Xiaofang Zhou, Kai Zheng
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2018 BDMA Location Prediction on Trajectory Data: A Review
Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian, Chengzong Peng
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2016 IEEE Access A Survey on Trajectory Data Mining: Techniques and Applications
Zhenni Feng, Yanmin Zhu
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2016 Journal of Spatial Information Science Trajectory data mining: A review of methods and applications
Jean Damascène Mazimpaka, Sabine Timpf
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2015 TIST Trajectory Data Mining: An Overview
Yu Zheng
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2024 arxiv REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories
Bangchao Deng, Bingqing Qu, Pengyang Wang, Dingqi Yang
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2024 AAAI Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang
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2023 AAAI Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism
Chunjiang Ge, Shiji Song, Gao Huang
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2023 TKDE Beyond The Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability
Chao Zhang, Kai Zhao, Meng Chen
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2023 TITS Federated Representation Learning With Data Heterogeneity for Human Mobility Prediction
Xiao Zhang, Qilin Wang, Ziming Ye, Haochao Ying, Dongxiao Yu
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2022 WSDM Predicting Human Mobility via Graph Convolutional Dual-attentive Networks
Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang
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2022 TITS DeepTrip: A Deep Learning Model for the Individual Next Trip Prediction With Arbitrary Prediction Times
Pengfei Zhang, Haris N. Koutsopoulos, Zhenliang Ma
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2022 Information Sciences Contextual spatio-temporal graph representation learning for reinforced human mobility mining
Qiang Gao, Fan Zhou, Ting Zhong, Goce Trajcevski, Xin Yang, Tianrui Li
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2021 IJCAI Modeling Trajectories with Neural Ordinary Differential Equations
Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann
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2020 ECCV Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi
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2018 WWW DeepMove: Predicting Human Mobility with Attentional Recurrent Networks
Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin
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2015 ICDM Home Location Inference from Sparse and Noisy Data: Models and Applications
Tianran Hu, Jiebo Luo, Henry Kautz, Adam Sadilek
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2012 UbiComp Predicting future locations with hidden Markov models
Wesley Mathew, Ruben Raposo, Bruno Martins
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2012 MPM Next place prediction using mobility Markov chains
Sébastien Gambs, Marc-Olivier Killijian, Miguel Núñez del Prado Cortez
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2023 TKDD History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network
Tong Xia, Yong Li, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin
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2021 CIKM PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network
Hao Sun, Changjie Yang, Liwei Deng, Fan Zhou, Feiteng Huang, Kai Zheng
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2021 AAAI AttnMove: History Enhanced Trajectory Recovery via Attentional Network
Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li
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2019 EPJ Data Science Complete trajectory reconstruction from sparse mobile phone data
Guangshuo Chen, Aline Carneiro Viana, Marco Fiore, Carlos Sarraute
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2024 TKDE Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation
Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Huaiyu Wan
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2024 SIGSPATIAL WildGraph: Realistic Graph-based Trajectory Generation for Wildlife
Ali Al-Lawati, Elsayed Eshra, Prasenjit Mitra
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2024 SIGSPATIAL TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
Shang-Ling Hsu, Emmanuel Tung, John Krumm, Cyrus Shahabi, Khurram Shafique
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2024 KDD ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
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2024 TKDE Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Yu Wang, Tongya Zheng, Shunyu Liu, Zunlei Feng, Kaixuan Chen, Yunzhi Hao, Mingli Song
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2024 Information Fusion Spatiotemporal Gated Traffic Trajectory Simulation with Semantic-aware Graph Learning
Yu Wang, Ji Cao, Wenjie Huang, Zhihua Liu, Tongya Zheng, Mingli Song
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2023 WWW Learning to Simulate Daily Activities via Modeling Dynamic Human Needs
Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li
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2023 TKDE Synthesizing Human Trajectories based on Variational Point Processes
Huandong Wang, Qizhong Zhang, Yuchen Wu, Depeng Jin, Xing Wang, Lin Zhu, Li Yu
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2023 NeurIPS DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model
Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu
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2023 SIGSPATIAL TrajGDM: A New Trajectory Foundation Model for Simulating Human Mobility
Chen Chu, Hengcai Zhang, Feng Lu
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2023 KDD Practical Synthetic Human Trajectories Generation Based on Variational Point Processes
Qingyue Long, Huandong Wang, Tong Li, Lisi Huang, Kun Wang, Qiong Wu, Guangyu Li, Yanping Liang, Li Yu, Yong Li
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2023 ICML Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
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2023 AAAI Continuous Trajectory Generation Based on Two-Stage GAN
Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang
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2023 arxiv Learning the complexity of urban mobility with deep generative collaboration network
Yong Li, Yuan Yuan, Jingtao Ding, Depeng Jin
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2022 KDD Activity Trajectory Generation via Modeling Spatiotemporal Dynamics
Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li
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2022 TCSS TrajSGAN: A Semantic-Guiding Adversarial Network for Urban Trajectory Generation
Jing Zhang, Qihan Huang, Yirui Huang, Qian Ding, Pei-Wei Tsai
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2021 Transportation Research Part C TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning
Seongjin Choi, Jiwon Kim, Hwasoo Yeo
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2021 KDD Generating Mobility Trajectories with Retained Data Utility
Chu Cao, Mo Li
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2021 Journal of Data Science Large Scale GPS Trajectory Generation Using Map Based on Two Stage GAN
Xingrui Wang, Xinyu Liu, Ziteng Lu, Hanfang Yang
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2020 KDD Learning to Simulate Human Mobility
Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li
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2019 SIGSPATIAL Simulating Urban Patterns of Life: A Geo-Social Data Generation Framework
Joon-Seok Kim, Hamdi Kavak, Umar Manzoor, Andrew Crooks, Dieter Pfoser, Carola Wenk, Andreas Züfle
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2018 TITS A Generative Model of Urban Activities from Cellular Data
Mogeng Yin, Madeleine Sheehan, Sidney Feygin, Jean-François Paiement, Alexei Pozdnoukhov
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2018 NeurIPS Generative Models for Simulating Mobility Trajectories
Vaibhav Kulkarni, Natasa Tagasovska, Thibault Vatter, Benoit Garbinato
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2017 AAAI SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu
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2016 NAS The TimeGeo modeling framework for urban mobility without travel surveys
Shan Jiang, Yingxiang Yanga, Siddharth Gupta, Daniele Venezianoa, Shounak Athavaleb, Marta C. González
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2024 SIGSPATIAL Adversarial Reconstruction of Trajectories: Privacy Risks and Attack Models in Trajectory Embedding
Haochen Han, Shuaiyu Yang, Jiaxin Ding, Luoyi Fu, Xinbing Wang, Chenghu Zhou
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2023 TKDE Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories
Fengmei Jin, Wen Hua, Boyu Ruan, Xiaofang Zhou
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2023 TKDE PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization
Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Jie Xu
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2023 AAAI PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning
Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li
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2024 WWW COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song
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2020 WWW What is the Human Mobility in a New City: Transfer Mobility Knowledge Across Cities
Tianfu He, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Li Song, Hui He, Yu Zheng
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2024 SIGSPATIAL T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation
Lihuan Li, Hao Xue, Yang Song, Flora Salim
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2023 ICDE Contrastive Trajectory Similarity Learning with Dual-Feature Attention
Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin
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2023 TKDE Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study
Danlei Hu, Lu Chen, Hanxi Fang, Ziquan Fang, Tianyi Li, Yunjun Gao
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2023 AAAI GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM
Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han
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2022 KDD TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
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2022 SIGSPATIAL GEO-BLEU: similarity measure for geospatial sequences
Toru Shimizu, Kota Tsubouchi, Takahiro Yabe
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2021 ICDE E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training
Ziquan Fang, Yuntao Du, Lu Chen, Yujia Hu, Yunjun Gao, Gang Chen
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2018 ICDE Deep Representation Learning for Trajectory Similarity Computation
Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei
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2023 TKDE GraphMM: Graph-based Vehicular Map Matching by Leveraging Trajectory and Road Correlations
Yu Liu, Qian Ge, Wei Luo, Qiang Huang, Lei Zou, Haixu Wang, Xin Li, Chang Liu
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2022 TKDD L2MM: Learning to Map Matching with Deep Models for Low-Quality GPS Trajectory Data
Linli Jiang, Chaoxiong Chen, Chao Chen
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2024 SIGSPATIAL Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories
Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Zufle
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2024 SIGSPATIAL Trajectory Anomaly Detection with Language Models
Jonathan Mbuya, Dieter Pfoser, Antonios Anastasopoulos
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2023 ICDE Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning
Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
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2020 ICDE Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao
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2018 ADMA Anomalous Trajectory Detection using Recurrent Neural Network Li Song, Ruijia Wang, Ding Xiao, Xiaotian Han, Yanan Cai, Chuan Shi
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2024 AAAI Social Physics Informed Diffusion Model for Crowd Simulation
Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, XiaoPing Zhang
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2023 SIGSPATIAL Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion
Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li
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2023 AAAI Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling
Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu
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2023 TKDE GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training
Can Rong, Jie Feng, Jingtao Ding
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2022 TKDE DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks
Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li
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2021 TKDE Inferring Origin-Destination Flows from Population Distribution
Can Rong, Tong Li, Jie Feng, Yong Li
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2021 Nature A Deep Gravity model for mobility flows generation
Filippo Simini, Gianni Barlacchi, Massimilano Luca, Luca Pappalardo
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2021 Nature The universal visitation law of human mobility
Markus Schläpfer, Lei Dong, Kevin O'Keeffe, Paolo Santi, Michael Szell, Hadrien Salat, Samuel Anklesaria, Mohammad Vazifeh, Carlo Ratti, Geoffrey B West
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2019 UbiComp Deep learning models for population flow generation from aggregated mobility data
Can Rong, Jie Feng, Yong Li
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2024 SIGSPATIAL Urban Mobility Assessment Using LLMs
Prabin Bhandari, Antonios Anastasopoulos, Dieter Pfoser
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2024 SIGSPATIAL Additive Compositionality in Urban Area Embeddings Based on Human Mobility Patterns
Naoki Tamura, Haru Terashima, Kazuyuki Shoji, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi
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2024 SIGSPATIAL The Patterns of Life Human Mobility Simulation
Hossein Amiri, Will Kohn, Shiyang Ruan, Joon-Seok Kim, Hamdi Kavak, Andrew Crooks, Dieter Pfoser, Carola Wenk, Andreas Zufle
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2024 SIGSPATIAL Beauty or Beast: Human Behavioral Insights and Learning Power of Federated Mobility Prediction
*João Paulo Esper, Aline Carneiro Viana, Jussara M. Almeida
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2023 Scientific Reports Uncovering spatial and social gaps in rural mobility via mobile phone big data
Zhengying Liu, Pengjun Zhao, Qiyang Liu, Zhangyuan He, Tingting Kang
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2023 Scientific Reports The spatiotemporal prediction method of urban population density distribution through behaviour environment interaction agent model
Junyan Yang, Yi Shi, Yi Zheng, Zhonghu Zhang
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2023 Scientific Reports Estimating urban spatial structure based on remote sensing data
Masanobu Kii, Tetsuya Tamaki, Tatsuya Suzuki, Atsuko Nonomura
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2023 Scientific Reports Epidemic thresholds and human mobility
Marta Pardo-Araujo, David García-García, David Alonso, Frederic Bartumeus
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2023 Patterns A multi-scale unified model of human mobility in urban agglomerations
Yong Chen, Haoge Xu, Xiqun (Michael) Chen, Ziyou Gao
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2023 Nature_Sustain. Carbon emissions and sustainability of launching 5G mobile networks in China
Tong Li, Li Yu, Yibo Ma, Tong Duan, Wenzhen Huang, Yan Zhou, Depeng Jin, Yong Li, Tao Jiang
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2023 npj Urban Sustainability A general urban spreading pattern of COVID-19 and its underlying mechanism
Hongshen Zhang, Yongtao Zhang, Shibo He, Yi Fang, Yanggang Cheng, Zhiguo Shi, Cunqi Shao, Chao Li, Songmin Ying, Zhenyu Gong, Yu Liu, Lin Dong, Youxian Sun, Jianmin Jia, H. Eugene Stanley, Jiming Chen
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2023 Nature Human Behaviour COVID-19 is linked to changes in the time–space dimension of human mobility
Clodomir Santana, Federico Botta, Hugo Barbosa, Filippo Privitera, Ronaldo Menezes, Riccardo Di Clemente
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2023 Nature Computational Science Spatial planning of urban communities via deep reinforcement learning
Yu Zheng, Yuming Lin, Liang Zhao, Tinghai Wu, Depeng Jin, Yong Li
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2023 Nature Computational Science Future directions in human mobility science
Luca Pappalardo, Ed Manley, Vedran Sekara, Laura Alessandretti
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2023 Communications Medicine Forecasting hospital-level COVID-19 admissions using real-time mobility data
Brennan Klein, Ana C. Zenteno, Daisha Joseph, Mohammadmehdi Zahedi, Michael Hu, Martin S. Copenhaver, Moritz U. G. Kraemer, Matteo Chinazzi, Michael Klompas, Alessandro Vespignani, Samuel V. Scarpino, Hojjat Salmasian
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2023 Nature Communications Behavioral changes during the COVID-19 pandemic decreased income diversity of urban encounters
Takahiro Yabe, Bernardo García Bulle Bueno, Xiaowen Dong, Alex Pentland, Esteban Moro
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2023 AAAI Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service Data
Lin Chen, Fengli Xu, Qianyue Hao, Pan Hui, Yong Li
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2022 Nature Human Behaviour Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity
Lin Chen, Fengli Xu, Zhenyu Han, Kun Tang, Pan Hui, James Evans, Yong Li
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2021 Nature Computational Science Emergence of urban growth patterns from human mobility behavior
Fengli Xu, Yong Li, Depeng Jin, Jianhua Lu, Chaoming Song
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2021 Nature The universal visitation law of human mobility
Markus Schläpfer, Lei Dong, Kevin O'Keeffe, Paolo Santi, Michael Szell, Hadrien Salat, Samuel Anklesaria, Mohammad Vazifeh, Carlo Ratti, Geoffrey B West
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2021 Nature Mobility network models of COVID-19 explain inequities and inform reopening
Serina Chang, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Jure Leskovec
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2020 Nature Human Behavior Mapping global variation in human mobility
Moritz U G Kraemer, Adam Sadilek, Qian Zhang, Nahema A Marchal, Gaurav Tuli, Emily L Cohn, Yulin Hswen, T Alex Perkins, David L Smith, Robert C Reiner Jr, John S Brownstein
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2020 Nature The scales of human mobility
Laura Alessandretti, Ulf Aslak, Sune Lehmann
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2018 Physics Reports Human mobility: Models and applications
Hugo BarbosaFilho, Marc Barthelemy, Gourab Ghoshal, Charlotte R. James, Maxime Lenormand, Thomas Louail, Ronaldo Menezes, José J. Ramasco, Filippo Simini, Marcello Tomasini
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2017 Nature Communications Universal model of individual and population mobility on diverse spatial scales
XiaoYong Yan, WenXu Wang, ZiYou Gao, YingCheng Lai
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2016 PANS Scaling identity connects human mobility and social interactions
Pierre Deville, Chaoming Song, Nathan Eagle, Dashun Wang
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2012 Scientific Reports Activity driven modeling of time varying networks
Nicola Perra, Bruno Gonçalves, Romualdo PastorSatorras, Alessandro Vespignani
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2012 Nature Physics Modelling dynamical processes in complex socio-technical systems
Alessandro Vespignani
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2012 Nature letter A universal model for mobility and migration patterns
Filippo Simini, Marta C. González, Amos Maritan, AlbertLászló Barabási
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2012 KDD Discovering regions of different functions in a city using human mobility and POIs
Jing Yuan, Yu Zheng, Xing Xie
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2011 KDD Friendship and mobility: user movement in location-based social networks
Eunjoon Cho, Seth A. Myers, Jure Leskovec
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2010 Nature Physics Modelling the scaling properties of human mobility
Chaoming Song, Tal Koren, Pu Wang, AlbertLászló Barabási
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2009 WWW Mining interesting locations and travel sequences from GPS trajectories
Yu Zheng, Lizhu Zhang, Xing Xie, WeiYing Ma
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2008 Nature Understanding individual human mobility patterns
M.C. Gonzalez, C.A. Hidalgo, A.L. Barabasi