Article
Computer Science, Information Systems
Tantan Shi, Genlin Ji, Zhaoyuan Yu, Bin Zhao
Summary: Periodic behaviors play a crucial role in understanding object movements, with individual and collective periodic patterns holding valuable insights in real world applications like urban planning and traffic management. This study introduces the CPMine algorithm, which incorporates pruning and indexing techniques to efficiently mine collective periodic patterns.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2021)
Article
Health Care Sciences & Services
Sean Jewell, Joseph Futoma, Lauren Hannah, Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
Summary: Limiting in-person interactions is important to curb the spread of SARS-CoV-2. Research found associations between cell phone mobility and infection spread, but this relationship varies across locations and time. Sharp drops in mobility often coincide with declining infection rates in populous counties, but the association varies considerably in other locations and over time.
NPJ DIGITAL MEDICINE
(2021)
Article
Geography
Zongshun Tian, Qin Wang, Yong Liu, Ziyue Wang
Summary: Understanding tourist mobility patterns of demographic subgroups is crucial for tourism planning and management. By proposing a multidimensional framework and conducting an empirical study, we revealed differences in mobility indicators, temporal patterns, and spatial patterns among different demographic subgroups.
Article
Mathematics, Interdisciplinary Applications
Chen Zhao, An Zeng, Chi Ho Yeung
Summary: The study re-examined human mobility patterns using comprehensive cell-phone position data and found that individuals exhibit origin-dependent and path-preferential patterns in their short time-scale mobility. These behaviors are more prominent with higher temporal resolution data, but have been overlooked in most previous studies.
Article
Computer Science, Artificial Intelligence
Gengsen Huang, Wensheng Gan, Shan Huang, Jiahui Chen
Summary: The discovery of negative sequential patterns (NSPs) is crucial in data science, as it often provides more enlightening information than positive sequential patterns (PSPs). However, the task of discovering NSPs is more difficult and challenging due to computational complexity and a large search space. This paper proposes a novel algorithm called Negative Sequential Patterns with Individual Support (NSPIS) to solve this problem and achieve better efficiency.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Economics
Ali Soltani, Andrew Allan, Fahimeh Khalaj, Dorina Pojani, Milad Mehdizadeh
Summary: The study in Adelaide found that factors such as population density, housing value, education level, income, age, and access to smartphones influence the choice of ridesharing. Higher education and income, younger age, and urban living are correlated with higher ridesharing use. On the other hand, concerns over safety, advanced age, digital illiteracy, and suburban living lead to non-interest in ridesharing.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Communication
Thomas Berker
Summary: Users modify infrastructures to meet their needs, maintain and repair them, and gain knowledge about how they work. The extent of user engagement with infrastructures is examined using the example of user-developed alternative mobile operating systems. Findings from previous studies show that users are motivated by moral considerations and actively negotiate their attachments to infrastructures. However, while user experiments with infrastructures require redundancy and are collective, they differ from experiments with individual devices. Certain infrastructure designs can facilitate and encourage user-driven infrastructures, while others hinder it.
NEW MEDIA & SOCIETY
(2023)
Article
Physics, Multidisciplinary
Xi Wang, Tao Pei, Ci Song, Jie Chen, Hua Shu, Yaxi Liu, Sihui Guo, Xiao Chen
Summary: Socioeconomic status influences social relations, with higher SES individuals interacting less with others and spending more time with friends. They also allocate their time unevenly to different social relationships.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Development Studies
Andre Leite Rodrigues, Mariana Giannotti, Matheus H. C. Cunha Barboza, Bianca Bianchi Alves
Summary: This study investigated the mobility patterns of favela residents based on high-frequency mobile phone data analysis, revealing distinct differences in travel distance and frequency between favela and non-favela residents on weekdays and weekends.
HABITAT INTERNATIONAL
(2021)
Article
Psychology, Applied
Mark Vollrath, Caroline Clifford, Anja Katharina Huemer
Summary: Studies have shown that texting significantly impairs driving performance, although drivers with high texting competence are less affected. Interestingly, drivers with high texting competence felt as impaired as those with low texting competence in subjective assessment.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2021)
Article
Multidisciplinary Sciences
Tal Laor, Yair Galily
Summary: This study examines whether WAZE app users exhibit behaviors resembling technological dependency and discovers patterns similar to addiction. The findings suggest that users utilize WAZE app for functional purposes and display behavioral characteristics associated with addiction.
Article
Public, Environmental & Occupational Health
C. A. Unsworth, A. Baker, S. Brito, B. Das Neves, N. Dickson, A. Gohil, G. Kahandawa, A. Naweed, A. Timmer
Summary: With an ageing population, more people are using mobility devices while traveling on public route buses. Although passengers widely perceive mobility device restraint systems as important for safety, questions remain regarding their effectiveness in preventing slide or tip.
JOURNAL OF TRANSPORT & HEALTH
(2022)
Article
Urban Studies
Run Shi, Anthony Gar -On Yeh
Summary: Social area analysis has been used to explore the spatial arrangement of urban space. This study examines the work mobility of different social groups in a specific case study in Shenzhen, China, and investigates the influence of location on work mobility. The findings show significant differences in work mobility among social areas and within-group heterogeneity. This study contributes to the understanding of social areas, location, and mobility in urban China, and offers a feasible framework for integrating socioeconomic information and mobility data for future urban studies.
Article
Computer Science, Hardware & Architecture
Thi Thuy Nga Nguyen, Olivier Brun, Balakrishna J. Prabhu
Summary: In this study, the authors investigate the potential improvement of channel allocation in cellular networks by utilizing predictions on future data rates. They propose an algorithm to predict future throughputs based on Signal-to-Noise Ratio (SNR) maps and use this knowledge to improve online channel allocation. Simulation results show that exploiting knowledge of future radio conditions can significantly enhance channel allocation.
Article
Construction & Building Technology
Eric Forcael, Carolina Puentes, Rodrigo Garcia-Alvarado, Alexander Opazo-Vega, Jaime Soto-Munoz, Ginnia Moroni
Summary: Nowadays, BIM has been introduced as a promising methodology for managing projects in the construction industry. However, there are few studies on how individual users are classified. This study developed a model that characterized BIM users based on several parameters and validated its validity and reliability. The main aspects that characterized users were their use and command of the software and methodology, experience and degree of technology adoption, and knowledge of process levels and standardization concerning BIM.