Articles tagged with Human Mobility
Researchers used AI and mobility data to enhance air pollution models, improving accuracy by an average of 17.5% and identifying hotspots with high PM2.5 levels. This integrated approach can inform targeted health alerts and safety measures for areas with poor air quality.
A UK-Sri Lankan research network aimed to develop research capacities among senior academic staff members from both countries. The training network investigated differences, overlaps, and synergies between Climate Change Adaptation (CCA) and Disaster Risk Reduction (DRR) research communities.
A new study reveals that mobile phone data can be skewed towards more accessible populations, leading to misleading predictions and ineffective outbreak responses. Researchers urge acknowledging and measuring bias in all types of data to ensure accurate public health decisions.
A new study by Radboud University explores the effects of Brexit on European self-initiated expatriates in the UK. The research found that those identifying with the UK prior to Brexit experienced strong negative reactions, feeling like they were treated as foreigners after the vote.
Researchers argue that 'The Line' should not be a showcase for future cities due to its unfeasible urban design, including extremely high population density and limited mobility. The city's planned 60-minute average commute times highlight the importance of efficient transportation systems in urban planning.
A study found that every member of a hyena clan, except the highest-ranking queen, suffers downward mobility across their lifetime due to demographic processes. Hyenas can move up and down in the hierarchy over time, but they slide down more often than jumping up.
Researchers developed a new method for controlling lower limb exoskeletons using deep reinforcement learning, enabling more robust and natural walking control. The system has the potential to benefit users with spinal cord injuries, multiple sclerosis, stroke, and other neurological conditions.
Researchers analyzed mobile phone signaling records to understand how people moved in response to the 2021 Zhengzhou flood. The study found that female, adolescent, and older adults were more vulnerable to flooding due to lower mobility resilience. It also identified four abnormal patterns of human mobility, which accounted for 50% of ...
Researchers developed a fully knitted, circuit-embedded knee wearable for wireless sensing of joint motion in real-time. The wearable overcomes limitations of typical wearable sensors by using a single fabric with high stretchability and sensitivity.
A new global study found that mother's educational status is increasingly important in shaping children's educational status, while father's educational status has declined. The research challenges traditional assumptions on social mobility and highlights the need for a gender-sensitive approach to measuring intergenerational mobility.
The UCF Advanced Air Mobility Conference aims to generate knowledge on the significance and feasibility of AAM, exploring law's impact on its development and potential benefits for urban mobility. Researchers will discuss issues such as property law, jurisdiction, safety, and social equity.
A new study demonstrates how anonymized smartphone data can monitor public use of parks and green spaces, shedding light on relationships between people and nature. The findings highlight potential for GPS data to inform management and optimize benefits for both recreation and biodiversity.
Research found that widespread electric vehicle adoption will significantly reduce air pollution and associated mortality in US metropolitan areas, with Los Angeles projected to see 1,163 fewer premature deaths annually. Electric vehicles could bring up to $12.61 billion in economic health benefits by 2050.
A team of researchers developed a unified model to predict human movement during large-scale extreme events. The model reveals 'spatiotemporal decay' and 'temporal decay,' showing people limit their mobility near disaster zones and exhibit faster changes in lower income areas.
Researchers at the University of Tsukuba found that allowing cross-border evacuations can reduce evacuation time by 14% and improve public safety. However, intermunicipal cooperation is required to make this approach effective.
A new analysis reveals that socioeconomic status amplifies underlying differences in the spatial patterns of how men versus women travel within cities. Women tend to travel shorter distances than men, but socioeconomic factors play a bigger role in shaping their mobility patterns.
Researchers used Facebook data to measure cultural similarity between countries, finding associations between immigration patterns and people's food and drink interests. Countries with more immigrants showed higher cultural similarity between origin and destination countries.
An analysis of data from 16 US states reveals a major increase in wine and spirit sales during the COVID-19 pandemic, accompanied by changes in the relationship between alcohol sales and business visits. Sales of spirits and wine increased by as much as 20-40% in some states, while beer sales declined overall.
A University of Cambridge-led study found that rising housing prices can significantly increase 'openness' among US residents within a few years. This trait captures levels of curiosity and creativity.
Food insecurity among migrants on the move is a pressing issue, with limited scientific literature documenting its prevalence and severity. A new study proposes a definition of migrants in active mobility and recommends interdisciplinary actions to inform policy and strategies guaranteeing access to food.
A study using nationwide mobility data in China examined extreme fluctuations in population movements during the Lunar New Year travel season and COVID-19 lockdowns. The results showed that high-tier prefectures retained stable clusters, while low-tier prefectures had larger population flows to these areas.
A new model developed by NYU Tandon School of Engineering researchers provides a data-centric approach to reopening towns and can serve as a blueprint for areas with low vaccine rates. The model shows that increasing access to social gatherings and public transportation at a certain rate supports a safe, rapid reopening.
The poor are unlikely to obey strict lockdowns due to lack of nutrition, economic opportunities, and infrastructure. African policymakers need to prioritize social and economic measures over stringent lockdowns to slow the spread of COVID-19 and future pandemics.
Research from the University of California, Santa Cruz, shows that regional shelter-in-place orders during the pandemic led to pumas moving into or closer to urban habitats. The study found a strong relationship between declining human mobility and the cats' increased willingness to venture into urban areas.
Researchers developed an interactive web application to analyze connections between human mobility, government policies and COVID-19 cases on a global scale. The app shows the impact of COVID-19 on human movement patterns and informs decision-making for higher-level policies.
A study using real-world air traffic control data found that vaccination programs alone may not stop the ongoing second wave of COVID-19 infections in the US. Strict social distancing measures remain necessary to prevent a new wave, according to researchers.
A global consortium of researchers found that travel restrictions were most useful during the initial phase of the COVID-19 outbreak and again as local transmission became established. Provinces that acted early to contain imported cases fared best in preventing outbreaks.
Researchers analyzed customer movement patterns in Tesco supermarkets to develop a method to reduce congestion. Placing popular goods near store perimeters was found to be effective in decreasing aisle crowding.
A team of researchers found that nearly 63,000 Russian Twitter accounts were bots, with a majority tweeting about politics, spreading pro-regime information. The study reveals similarities between human and automated posts, but also notable differences, such as bot use of mobile devices and retweeting habits.
Researchers developed a new method to predict human mobility based on cell phone and GPS records, providing insights into movement patterns regardless of region size. The model uses mathematical calculations to discern individual and population-scale movements.
The new book, 'Public Space? Lost and Found,' examines the crucial role of art in shaping our sense of community and politics. It argues that public space is an essential requirement of contemporary life and can never be politically neutral ground.
A study of genetic and isotopic analyses reveals that most female skeletons were nonlocal, arriving as adults, and contributed to cultural communication and exchange. The findings suggest that female mobility played a key role in the spread of technological advancements during this period.
Researchers found that human settlement led to the dominant presence of house mice in the Middle East around 15,000 years ago. The populations of house mice rose and fell based on human mobility patterns, out-competing wild mice in some areas.
Researchers developed a new computational system that leverages cellphone location data to create detailed models of urban mobility patterns. By analyzing six weeks' worth of data from over 1.9 million residents in the Boston area, the system was able to infer patterns of activity with high accuracy.
Researchers in Iquitos, Peru, found that fever reduces human mobility by 30% and increases time spent closer to home. Asymptomatic individuals play a significant role in disease transmission, highlighting the need for revised surveillance and control strategies.
A study analyzing Twitter data from over 700,000 tweets found that New Yorkers resumed normal mobility less than 24 hours after Hurricane Sandy. The researchers observed similar geographical and statistical distributions of locations before and after the hurricane, suggesting resilience in human movement during the disaster.
A new model for epidemic contagion has been developed, accounting for human mobility patterns and reducing the spread of infectious diseases. The study found that older diffusion-based models overestimated the speed of epidemics, highlighting the importance of considering home locations in modeling human mobility.
A Northwestern University team analyzed Wheres's George? data to identify areas of high connectivity, finding that some borders split states, while others align with cultural segmentation. The study reveals the strength of local travel over long-distance relationships.
Researchers developed a new statistical model simulating human mobility patterns, with potential uses including land use planning and public health studies of epidemic disease. The model, called SLAW, represents regular movement patterns using statistical data.