Public Health

Correlation Networks of Air Particulate Matter: A Comparative Study

Vlachogiannis, Dimitrios M.
Xu, Yanyan
Jin, Ling
Marta Gonzalez
2021

Over the last decades, severe haze pollution constitutes a major source of far-reaching environmental and human health problems. The formation, accumulation and diffusion of pollution particles occurs under complex temporal scales and expands throughout a wide spatial coverage. Seeking to understand the transport patterns of haze pollutants in China, we review a proposed framework of time-evolving directed and weighted air quality correlation networks. In this work, we evaluate monitoring stations’ time-series data from China and California, to test the sensitivity of the framework to...

EEZ Mobility: A Toolf or Modeling Equitable Installation of Electric Vehicle Charging Stations

Clark, Callie
Ozturk, Ayse Tugba
Hong, Preston
Marta Gonzalez
Scott Moura
2022

Public electric vehicle (EV) chargers are unevenly distributed in California with respect to income, race and education-levels. This creates inequitable access to electric mobility especially for low-income communities of color, which. are less likely to have access to home charging stations. These vulnerable communities are also more likely to be located in areas with poor air quality and would therefore benefit from EV adoption. Currently programs exist in California that fund incentives for public EV chargers in “Disadvantaged Communities” but the process for identifying these...

Urban Dynamics Through the Lens of Human Mobility

Xu, Yanyan
Olmos, Luis E.
Mateo, David
Hernando, Alberto
Yang, Xiaokang
Marta Gonzalez
2023

The urban spatial structure represents the distribution of public and private spaces in cities and how people move within them. Although it usually evolves slowly, it can change quickly during large-scale emergency events, as well as due to urban renewal in rapidly developing countries. Here we present an approach to delineate such urban dynamics in quasi-real time through a human mobility metric, the mobility centrality index ΔKS. As a case study, we tracked the urban dynamics of eleven Spanish cities during the COVID-19 pandemic. The results revealed that their structures became more...

Enhancing Human Mobility Research with Open and Standardized Datasets

Yabe, Takahiro
Luca, Massimiliano
Tsubouchi, Kota
Lepri, Bruno
Marta Gonzalez
Moro, Esteban
2024

Human mobility research intersects with various disciplines, with profound implications for urban planning, transportation engineering, public health, disaster management, and economic analysis. Here, we discuss the urgent need for open and standardized datasets in the field, including current challenges and lessons from other computational science domains, and propose collaborative efforts to enhance the validity and reproducibility of human mobility research.

Human Mobility Reshaped? Deciphering the Impacts of the Covid-19 Pandemic on Activity Patterns, Spatial Habits, and Schedule Habits

Bouzaghrane, Mahamed Amine
Obeid, Hassan
Marta Gonzalez
Joan Walker
2024

Despite the historically documented regularity in human mobility patterns, the relaxation of spatial and temporal constraints, brought by the widespread adoption of telecommuting and e-commerce during the COVID-19 pandemic, as well as a growing desire for flexible work arrangements in a post-pandemic work, indicates a potential reshaping of these patterns. In this paper, we investigate the multifaceted impacts of relaxed spatio-temporal constraints on human mobility, using well-established metrics from the travel behavior literature. Further, we introduce a novel metric for schedule...

Human Mobility Reshaped? Deciphering the Impacts of the Covid-19 Pandemic on Activity Patterns, Spatial Habits, and Schedule Habits

Bouzaghrane, Mohamed Amine
Obeid, Hassan
Marta Gonzalez
2024

Despite the historically documented regularity in human mobility patterns, the relaxation of spatial and temporal constraints, brought by the widespread adoption of telecommuting and e-commerce during the COVID-19 pandemic, as well as a growing desire for flexible work arrangements in a post-pandemic work, indicates a potential reshaping of these patterns. In this paper, we investigate the multifaceted impacts of relaxed spatio-temporal constraints on human mobility, using well-established metrics from the travel behavior literature. Further, we introduce a novel metric for schedule...

DeepAir: Deep Learning and Satellite Imagery to Estimate High-resolution PM2.5 at Scale

Guo, Wenxuan
Hu, Zhaoping
Jin, Ling
Xu, Yanyan
Marta Gonzalez
2025

Air pollution, specifically PM2.5, has become a significant global concern owing to its detrimental impacts on public health. Even so, the high-resolution monitoring of air pollution is still a challenge on a global scale. To cope with this, machine learning (ML) techniques have been utilized to infer the concentration of air pollutants at a fine scale. In this study, we propose DeepAir, a learning framework for estimating PM2.5 concentrations at a fine scale with sparsely distributed observations. DeepAir integrates a pre-trained convolutional neural network with the LightGBM method. This...

The Changing Impacts of the COVID-19 Pandemic on Individuals and Households in the US

Bouzaghrane, M
Obeid, H
Parker, M
Li,. M
Hayes, D
Chen, M
Karen Trapenberg Frick
Daniel Rodriguez
Joan Walker
Sengupta, R
Daniel Chatman
2021

This brief describes findings from a research effort to understand the changing impacts of the pandemic upon households from different places and backgrounds living in the United States. We investigated the effects of the pandemic along with pandemic-based restrictions and rules on people’s behavior along with their mental and emotional health, social relations, and livelihoods. Unlike other research efforts, as far as we are aware this effort is the only one to join passive data from cell phones with survey information collected from the same individuals over time. We combined these data...

Rebuilding Common Purpose for the 21st Century with New Civic Infrastructure

Myers, Dowell
Karen Trapenberg Frick
2022

Increasing polarization and division are the greatest challenges to the U.S. today, because they prevent cooperation in decision making about growing problems of major consequence. The related long swing in rising individualism is assessed for how it undermines common purpose. We survey the ideological divide and how it intersects with preferred urban development patterns, negotiation styles (compromise or hard line), and diverse views on mitigations for stemming the COVID-19 pandemic.

Never Waste a Crisis: How COVID-19 Lockdowns and Message Sources Affect Household Emergency Preparedness

Marple, Tim
Post, Alison
Karen Trapenberg Frick
2022

Public institutions are facing natural and manmade hazards of increasing frequency and severity. While the costs of disasters can be greatly reduced when individuals prepare, successfully encouraging preparation is difficult for governments, given the low salience of such risks. We examine whether the increased salience of other types of risks can influence individual willingness to prepare for natural and manmade hazards, and whether message impact varies with recipients’ levels of trust in their source. We capitalize upon a rare policy experiment—the staged rollout of COVID-19...