Limits of Predictability in Human Mobility

Cited by (1,004)

Items 601–700 of 1,004

1. First-passage properties of asymmetric Lévy flights
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2. Self-supervised human mobility learning for next location prediction and trajectory classification
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3. Solvable random-walk model with memory and its relations with Markovian models of anomalous diffusion
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4. DAN-SNR
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5. Optimizing Spatial Allocation of COVID‐19 Vaccine by Agent‐Based Spatiotemporal Simulations
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6. Towards a multiscale framework for modeling and improving the life cycle environmental performance of built stocks
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7. Characterizing mobility patterns of private electric vehicle users with trajectory data
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8. Disaster Evacuation Guidance Using Opportunistic Communication: The Potential for Opportunity-Based Service
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9. Strong and weak chaos in networks of semiconductor lasers with time-delayed couplings
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10. Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study
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11. Understanding Urban Dynamics From Massive Mobile Traffic Data
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12. Deep ROI-Based Modeling for Urban Human Mobility Prediction
    Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Qi Chen, Ryosuke Shibasaki · 2018 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
13. Revealing Spatial-Temporal Characteristics and Patterns of Urban Travel: A Large-Scale Analysis and Visualization Study with Taxi GPS Data
    Huihui Wang, Hong Huang, Xiaoyong Ni, Weihua Zeng · 2019 · ISPRS International Journal of Geo-Information
14. The Relationship between Urban Vibrancy and Built Environment: An Empirical Study from an Emerging City in an Arid Region
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15. Looking through Hägerstrand’s dual vistas: towards a unifying framework for time geography
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16. Static home-based versus dynamic mobility-based assessments of exposure to urban green space
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17. Data sources and approaches for building occupancy profiles at the urban scale – A review
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18. Evolution of cooperation among mobile agents
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19. Predicting Human Preferences Using the Block Structure of Complex Social Networks
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20. Estimating human predictability from mobile sensor data
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21. Efficient detection of contagious outbreaks in massive metropolitan encounter networks
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22. Where to go from here? Mobility prediction from instantaneous information
    Vincent Etter, Mohamed Kafsi, Ehsan Mohamad Kazemi, Matthias Grossglauser, Patrick Thiran · 2013 · Pervasive and Mobile Computing
23. Application of gravity model on the Korean urban bus network
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24. Where Did You Go
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25. The effect of Pokémon Go on the pulse of the city: a natural experiment
    Eduardo Graells-Garrido, Leo Ferres, Diego Caro, Loreto Bravo · 2017 · EPJ Data Science
26. The role of gender in social network organization
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27. Emergence of encounter networks due to human mobility
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28. Aggregated responses of human mobility to severe winter storms: An empirical study
    Yan Wang, Qi Wang, John Eric Taylor · 2017 · PLoS ONE
29. A Context-Aware E-Bike System to Reduce Pollution Inhalation While Cycling
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30. Structure-oriented prediction in complex networks
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31. An exploration of the interaction between urban human activities and daily traffic conditions: A case study of Toronto, Canada
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32. Caching on the Move: A User Interest-Driven Caching Strategy for D2D Content Sharing
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33. Using mobile phone data to determine spatial correlations between tourism facilities
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34. Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata
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35. Agent-based modelling for assessing hybrid and electric cars deployment policies in Luxembourg and Lorraine
    Florent Querini, Enrico Benetto · 2014 · Transportation Research Part A Policy and Practice
36. Can Programming Frameworks Bring Smartphones into the Mainstream of Psychological Science?
    Lukasz Piwek, David A. Ellis · 2016 · Frontiers in Psychology
37. Modeling User Activity Patterns for Next-Place Prediction
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38. Distance Dependent Competitive Interactions in a Frustrated Network of Mobile Agents
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39. Analytical solution for the Lévy-like steady-state distribution of intensities in random lasers
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40. Context-aware multi-head self-attentional neural network model for next location prediction
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41. The predictability of cellular networks traffic
    Xuan Zhou, Zhifeng Zhao, Rongpeng Li, Yifan Zhou, Honggang Zhang · 2012 · International Symposium on Communications and Information Technologies
42. A Post-Disaster Demand Forecasting System Using Principal Component Regression Analysis and Case-Based Reasoning Over Smartphone-Based DTN
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43. Similarity analysis of frequent sequential activity pattern mining
    Zhenyu Shou, Xuan Sharon Di · 2018 · Transportation Research Part C Emerging Technologies
44. Performance Analysis of Mobile Broadband Networks With 5G Trends and Beyond: Urban Areas Scope in Malaysia
    Ibraheem Abdullah Mohammed Shayea, Marwan Hadri Azmi, Mustafa Ergen, Ayman A. El‐Saleh, Tien Han Chua, Arsany Arsad, Tharek Abd Rahman, Abdulraqeb Alhammadi, Yousef Ibrahim Daradkeh, Dalia Nandi · 2021 · IEEE Access
45. A data-driven travel mode share estimation framework based on mobile device location data
    Mofeng Yang, Yixuan Pan, Aref Darzi, Sepehr Ghader, Chenfeng Xiong, Lei Zhang · 2021 · Transportation
46. Recommend a profitable cruising route for taxi drivers
    Hao Dong, Xuedan Zhang, Yuhan Dong, Chuang Chen, Fan Rao · 2014 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
47. De-anonymization Attack on Geolocated Data
    Sébastien Gambs, Marc‐Olivier Killijian, Miguel Núñez-del-Prado · 2013 · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
48. Tweets on the Road
    Maxime Lenormand, Antònia Tugores, Pere Colet, José J. Ramasco · 2014 · PLoS ONE
49. Visualizing the “heartbeat” of a city with tweets
    Urbano L. França, Hiroki Sayama, Colin Mcswiggen, Roozbeh Daneshvar, Yaneer Bar-yam A · 2015 · Complexity
50. Population estimation from mobile network traffic metadata
    Ghazaleh Khodabandelou, Vincent Gauthier, Mounîm A. El‐Yacoubi, Marco Fiore · 2016 · IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
51. Conflict Forecasting and Its Limits
    Thomas Chadefaux · 2017 · Data Science
52. Seasonal and geographical impact on human resting periods
    Daniel Monsivais, Kunal Bhattacharya, Asim Ghosh, Robin Dunbar, Kimmo K. Kaski · 2017 · Scientific Reports
53. Mobility-Aware Resource Allocation in VLC Networks Using T-Step Look-Ahead Policy
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54. Mining trips from location-based social networks for clustering travelers and destinations
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55. Voter model with non-Poissonian interevent intervals
    Taro Takaguchi, Naoki Masuda · 2011 · Physical Review E
56. Inferring human mobility patterns from taxicab location traces
    Raghu Ganti, Mudhakar Srivatsa, Anand Ranganathan, Jiawei Han · 2013 · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
57. A comparative analysis of the statistical properties of large mobile phone calling networks
    Ming‐Xia Li, Zhi-qiang Jiang A, Wen-Jie Xie, Salvatore Miccichè, Michele Tumminello, Wei‐Xing Zhou, Rosario N. Mantegna · 2014 · Scientific Reports
58. A New Privacy Breach: User Trajectory Recovery From Aggregated Mobility Data
    Zhen Tu, Fengli Xu, Yong Li, Pengyu Zhang, Depeng Jin · 2018 · IEEE/ACM Transactions on Networking
59. The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data
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60. Optimal habits can develop spontaneously through sensitivity to local cost
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61. How many days are enough?: capturing routine human mobility
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62. Differences in the spatial landscape of urban mobility: Gender and socioeconomic perspectives
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63. Understanding spatiotemporal trip purposes of urban micro-mobility from the lens of dockless e-scooter sharing
    Hao Li, Zhendong Yuan, Tessio Novack, Wei Huang, Alexander Zipf · 2022 · Computers Environment and Urban Systems
64. The Universal Neighborhood Effect Averaging in Mobility-Dependent Environmental Exposures
    Jiannan Cai, Mei‐Po Kwan · 2024 · Environmental Science & Technology
65. Making sense: Sensor-based investigation of clinician activities in complex critical care environments
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66. Can Mobile Phone Data Improve Emergency Response to Natural Disasters?
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67. Identifying user habits through data mining on call data records
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68. An alternative approach to the limits of predictability in human mobility
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69. Estimating the Entropy Rate of Finite Markov Chains With Application to Behavior Studies
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70. A trip to work: Estimation of origin and destination of commuting patterns in the main metropolitan regions of Haiti using CDR
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71. On predictability of time series
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72. Energy-Efficient Base Station Control Framework for 5G Cellular Networks Based on Markov Decision Process
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73. L-VTP: Long-Term Vessel Trajectory Prediction Based on Multi-Source Data Analysis
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74. From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data
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75. Predicting Taxi and Uber Demand in Cities: Approaching the Limit of Predictability
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76. Understanding human activity patterns based on space-time-semantics
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77. Mining Mobile Intelligence for Wireless Systems: A Deep Neural Network Approach
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78. A general approach to detecting migration events in digital trace data
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79. Who you are determines how you travel: Clustering human activity patterns with a Markov-chain-based mixture model
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80. Exploring the Spatiotemporal Patterns of Residents’ Daily Activities Using Text-Based Social Media Data: A Case Study of Beijing, China
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81. A survey on next location prediction techniques, applications, and challenges
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82. Continual learning-based trajectory prediction with memory augmented networks
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83. Who Will Attend? -- Predicting Event Attendance in Event-Based Social Network
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84. The Call of the Crowd: Event Participation in Location-Based Social Services
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85. The unheralded power of cloudlet computing in the vicinity of mobile devices
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86. Collection and analysis of multi-dimensional network data for opportunistic networking research
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87. A Novelty-Seeking based Dining Recommender System
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88. What Will You Do for the Rest of the Day?
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89. Mobile Social Data Learning for User-Centric Location Prediction With Application in Mobile Edge Service Migration
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90. Examining the Limits of Predictability of Human Mobility
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91. Quality-Aware Sparse Data Collection in MEC-Enhanced Mobile Crowdsensing Systems
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92. Tracing hospitality and tourism graduates’ career mobility
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93. What Machine Learning Predictor Performs Best for Mobility Prediction in Cellular Networks?
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94. On Structural Features, User Social Behavior, and Kinship Discrimination in Communication Social Networks
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95. Predictability of real temporal networks
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96. A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data
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97. DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns
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98. Estimating distance decay of intra-urban trips using mobile phone data: The case of Bratislava, Slovakia
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99. On the relation between socio-economic status and physical mobility
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100. How Random are Online Social Interactions?
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