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The spread of COVID-19 has been a major disruptive force in people's everyday lives and mobility behavior. The demand for on-demand ride services, such as taxis and ridehailing has been specifically impacted, given both restrictions in…

Computers and Society · Computer Science 2021-08-06 Maher Said , Jason Soria , Amanda Stathopoulos

The COVID-19 pandemic and related restrictions forced many to work, learn, and socialize from home over the internet. There appears to be consensus that internet infrastructure in the developed world handled the resulting traffic surge…

Networking and Internet Architecture · Computer Science 2021-01-15 Jessica De Oliveira Moreira , Amey Praveen Pasarkar , Wenjun Chen , Wenkai Hu , Jan Janak , Henning Schulzrinne

The study of human mobility patterns is a crucially important research field for its impact on several socio-economic aspects and, in particular, the measure of regularity patters of human mobility can provide a across-the-board view of…

Physics and Society · Physics 2021-04-20 Fabio Vanni , David Lambert

The epidemiology of pandemics is classically viewed using geographical and political borders; however, these artificial divisions can result in a misunderstanding of the current epidemiological state within a given region. To improve upon…

Populations and Evolution · Quantitative Biology 2023-11-28 David Lyver , Mihai Nica , Corentin Cot , Giacomo Cacciapaglia , Zahra Mohammadi , Edward W. Thommes , Monica-Gabriela Cojocaru

This study investigated the impacts of the COVID-19 pandemic on the electricity consumption of a university dormitory building in the southern U.S. The historical electricity consumption data of this university dormitory building and…

Computers and Society · Computer Science 2020-12-15 Zhihong Pang , Fan Feng , Zheng O'Neill

The flexibility in electricity consumption and production in communities of residential buildings, including those with renewable energy sources and energy storage (a.k.a., prosumers), can effectively be utilized through the advancement of…

Machine Learning · Computer Science 2024-02-22 Aleksei Kychkin , Georgios C. Chasparis

Understanding collective mobility patterns is crucial to plan the restart of production and economic activities, which are currently put in stand-by to fight the diffusion of the epidemics. In this report, we use mobile phone data to infer…

This document analyzes the role of data-driven methodologies in Covid-19 pandemic. We provide a SWOT analysis and a roadmap that goes from the access to data sources to the final decision-making step. We aim to review the available…

Populations and Evolution · Quantitative Biology 2020-06-11 Teodoro Alamo , D. G. Reina , Pablo Millán

To prevent the outbreak of the Coronavirus disease (COVID-19), many countries around the world went into lockdown and imposed unprecedented containment measures. These restrictions progressively produced changes to social behavior and…

Public transport is one of the most disrupted sectors of the COVID-19 pandemic with reported ridership drops up to 90% in majorly affected countries. As many government authorities strive to partially resume activities, public transport…

Physics and Society · Physics 2020-06-11 Konstantinos Gkiotsalitis , Oded Cats

COVID-19 has deeply affected daily life and travel behaviors. Understanding these changes is crucial, prompting an investigation into socio-demographic and socio-economic factors. This study used large-scale mobile device location data in…

Applications · Statistics 2024-01-26 Saeed Saleh Namadi , Behnam Tahmasbi , Asal Mehditabrizi , Aref Darzi , Deb Niemeier

Coronavirus outbreak is one of the most challenging pandemics for the entire human population of the planet Earth. Techniques such as the isolation of infected persons and maintaining social distancing are the only preventive measures…

Social and Information Networks · Computer Science 2020-09-01 Rahul Mishra , Hari Prabhat Gupta , Tanima Dutta

Electricity load consumption may be extremely complex in terms of profile patterns, as it depends on a wide range of human factors, and it is often correlated with several exogenous factors, such as the availability of renewable energy and…

Machine Learning · Computer Science 2025-02-03 Aleksei Kychkin , Georgios C. Chasparis

Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during the COVID-19…

Social and Information Networks · Computer Science 2020-11-03 Yuhao Kang , Song Gao , Yunlei Liang , Mingxiao Li , Jinmeng Rao , Jake Kruse

The rapid spread of COVID-19 infections on a global level has highlighted the need for accurate, transparent and timely information regarding collective mobility patterns to inform de-escalation strategies as well as to provide forecasting…

Short-horizon epidemic forecasts guide near-term staffing, testing, and messaging. Mobility data are now routinely used to improve such forecasts, yet work diverges on whether the volume of mobility or the structure of mobility networks…

Physics and Society · Physics 2025-10-24 Sepehr Ilami , Qingtao Cao , Babak Heydari

The COVID-19 pandemic has severely affected many aspects of people's daily lives. While many countries are in a re-opening stage, some effects of the pandemic on people's behaviors are expected to last much longer, including how they choose…

Social and Information Networks · Computer Science 2021-02-19 Mark Beliaev , Erdem Bıyık , Daniel A. Lazar , Woodrow Z. Wang , Dorsa Sadigh , Ramtin Pedarsani

Electrical energy is a vital part of modern life, and expectations for grid resilience to allow a continuous and reliable energy supply has tremendously increased even during adverse events (e.g., Ukraine cyber-attack, Hurricane Maria). The…

Machine Learning · Computer Science 2021-08-10 Hossein Noorazar , Anurag. k. Srivastava , K. Sadanandan Sajan , Sanjeev Pannala

In literature, scientists describe human mobility in a range of granularities by several different models. Using frameworks like MATSIM, VehiLux, or Sumo, they often derive individual human movement indicators in their most detail. However,…

Networking and Internet Architecture · Computer Science 2022-01-14 David Ziegler , Johannes Betz , Markus Lienkamp

Urban mobility is central to economic activity, social inclusion, and access to essential services. COVID-19 caused disruptions to mobility globally, yet its long-term impacts in less developed countries remain poorly understood. Using over…

Physics and Society · Physics 2025-06-16 Carmen Cabrera , Miguel González-Leonardo , Andrea Nasuto , Ruth Neville , Francisco Rowe
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