Abstract While large scale mobility data has become a popular tool to monitor the patterns during COVID-19 pandemic, impacts of non-compulsory measures in Tokyo, Japan on human been under-studied. Here, we analyze temporal changes behavior, social contact rates, and their correlations with transmissibility COVID-19, using collected from more than 200K anonymized mobile phone users Tokyo. The analysis concludes that by April 15th (1 week into state emergency), behavior decreased around 50%,...

With rapid urbanization and increasing climate risks, enhancing the resilience of urban systems has never been more important. Despite availability massive datasets human behavior (e.g., mobile phone data, satellite imagery), studies on disaster have limited to using static measures as proxies for resilience. However, metrics significant drawbacks such their inability capture effects compounding accumulating shocks; dynamic interdependencies social, economic, infrastructure systems; critical...

Abstract Modeling and predicting human mobility trajectories in urban areas is an essential task for various applications including transportation modeling, disaster management, planning. The recent availability of large-scale movement data collected from mobile devices has enabled the development complex prediction models. However, methods are often trained tested on different datasets, due to lack open-source datasets amid privacy concerns, posing a challenge towards conducting transparent...

Despite the rising importance of enhancing community resilience to disasters, our understandings on when, how and why communities are able recover from such extreme events limited. Here, we study macroscopic population recovery patterns in disaster affected regions, by observing human mobility trajectories over 1.9 million mobile phone users across three countries before, during after five major disasters. We find that, despite diversity socio-economic characteristics among regions types...

Diversity of physical encounters and social interactions in urban environments are known to spur economic productivity innovation cities, while also foster capital resilience communities. However, mobility restrictions during the pandemic have forced people substantially reduce encounters, raising questions on implications such behavioral changes. In this paper, we study how income diversity changed different periods throughout pandemic, using a large-scale, privacy-enhanced dataset more...

The effect of the substitution 3d metals (Fe, Co, Ni, and Zn) for Cu in a high-temperature superconductor ${\mathrm{Bi}}_{2}$(Sr,Ca${)}_{3}$${\mathrm{Cu}}_{2}$${\mathrm{O}}_{\mathit{y}}$ was investigated by measuring lattice constants, dc resistivity, Hall effect, magnetic susceptibilities normal superconducting phases. For all kinds impurities, within composition range where single-phase samples are synthesized, transition temperature ${\mathit{T}}_{\mathit{c}}$ found to decrease with...

Despite the importance of predicting evacuation mobility dynamics after large scale disasters for effective first response and disaster relief, our general understanding behavior remains limited because lack empirical evidence on movement individuals across multiple instances. Here we investigate GPS trajectories a total more than 1 million anonymized mobile phone users whose positions were tracked period 2 months before four major earthquakes that occurred in Japan. Through cross...

Abstract In recent years, extreme shocks, such as natural disasters, are increasing in both frequency and intensity, causing significant economic loss to many cities around the world. Quantifying cost of local businesses after shocks is important for post-disaster assessment pre-disaster planning. Conventionally, surveys have been primary source data used quantify damages inflicted on by disasters. However, often suffer from high long time implementation, spatio-temporal sparsity...

Abstract The rapid early spread of COVID-19 in the US was experienced very differently by different socioeconomic groups and business industries. In this study, we study aggregate mobility patterns New York City Chicago to identify relationship between amount interpersonal contact people urban neighborhoods disparity growth positive cases among these groups. We introduce an spatiotemporal density index (CDI) measure strength using data collected from mobile phones, combine it with social...

Abstract Recent disasters have shown the existence of large variance in recovery trajectories across cities that experienced similar damage levels. Case studies such events reveal high complexity process cities, where inter-city dependencies and intra-city coupling social physical systems may affect outcomes unforeseen ways. Despite implications understanding processes after for many domains including critical services, disaster management, public health, little work been performed to...

Physical infrastructure networks in diverse urban settlements are designed to be robust and reliable, while the socio-economic systems offer necessary adaptive capacity at household, city, regional scales recover from major service disruptions resulting disasters. Here, our resilience analyses based on exploring explicit links between physical infrastructure/assets systems. Increased availability of high-quality data mobile devices allows quantification metrics thus enables tracking city-...

In recent geospatial research, the importance of modeling and generating human mobility trajectories is rising. Whereas there are already plenty feasible approaches applicable to sequence itself, seems be room improve with regard evaluation, specifically about measuring similarity between generated reference trajectories. this work, we propose a novel measure, GEO-BLEU, which can especially useful in context generation. As name suggests, work based on BLEU, one most popular measures used...

Abstract In recent years, the explosion of extensive geolocated datasets related to human mobility has presented an opportunity unravel mechanism behind daily patterns on individual and population level; this analysis is essential for solving social matters, such as traffic forecasting, disease spreading, urban planning, pollution. However, release data limited owing privacy concerns users from whom were collected. To overcome challenge, innovative approach been introduced generating...

Large scale disasters cause severe social disorder and trigger mass evacuation activities. Managing the shelters efficiently is crucial for disaster management. Kumamoto prefecture, Japan, was hit by an enormous (Magnitude 7.3) earthquake on 16th of April, 2016. As a result, more than 10,000 buildings were severely damaged over 100,000 people had to evacuate from their homes. After earthquake, it took decision makers several days grasp locations where evacuating, which delayed distribution...

Accessibility is widely considered as the most crucial benefit of any transportation system. Low accessibility may cause compromise on living conditions, low economic growth, high unemployment, social seclusion, and long-term inequalities. In developing countries Sub-Saharan Africa, surveys fail to keep up with pace rapid urbanization. Additionally, numerous location-based data sets, including mobile phone location Google Maps travel time, enable near-real-time observations actively changing...

Real-time estimation of human mobility following a massive disaster will play crucial role in relief. Because disasters is quite different from their usual mobility, real-time location data necessary for precise estimation. Due to privacy concerns, anonymized and popular form anonymization population distribution. In this paper, we aim estimate an unprecedented using such distribution data. To overcome technical obstacles including high dimensionality, propose novel particle filter by...

The high-Tc superconductor LaBa2Cu3Oy has been prepared under various conditions, and characterized by x-ray neutron powder diffraction techniques, dc ac magnetic susceptibility measurements, resistivity measurement. It found that samples with excellent superconducting characteristics also good structural properties are obtained in a reproducible way if the following three procedures performed: preheat treatment of La2O3 powders, sintering N2, low-temperature annealing dried O2. Long-time...