Esteban Moro
Datos Biográficos
| ID | 117653 |
|---|---|
| NOMBRE | Esteban Moro |
| NOMBRES | Esteban |
| APELLIDO | Moro |
| FIRMA | MORO E |
| AFILIACIONES | Northeastern University |
| ORCID | 0000-0003-2894-1024 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 15 |
| TOTAL DE CITAS | 19 |
| TOTAL COMO AUTOR | 15 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2011 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 3 |
Multihazard exposure and environmental injustice
Research on environmental justice has revealed that various hazards can be created by deleterious planning decisions. Multihazard exposure , or the co-location of two or more hazards in a neighborhood, has been little studied to date. We examine heat and air pollution across the census block groups (CBGs) of 55 US cities to evaluate the distribution and sources of inequities in multihazard exposure. The study combines measures of temperature from…
Green space exposure and active transportation during the Covid-19 pandemic
INTRODUCTION: There is little evidence investigating the association between green space (exposure and inequality) and active transportation during the COVID-19 pandemic. This study focused on the spatial heterogeneity in trajectories of different transportation modes during the COVID-19 pandemic worldwide, as well as the association between green space exposure and inequality and active transportation during the COVID-19 pandemic from a global p…
Future-proofing cities against negative city mobility and public health impacts of impending natural hazards
Using human mobility data to quantify experienced urban inequalities
Residential and experienced social segregation
Social segregation is a challenge intensified by rapid urbanisation. Using mobility data, researchers have widened the scope of analysis from static residential segregation patterns to experienced segregation in activity space. Despite such progress, we have yet to decipher how social segregation evolves with the urban development process. The different roles of transport modes, major transport infrastructure expansion, and longitudinal changes o…
The great equalizer? Mixed effects of social infrastructure on diverse encounters in cities
Casual encounters with diverse groups of people in urban spaces have been shown to foster social capital and trust, leading to higher quality of life, civic participation, and community resilience to hazards. To promote such diverse encounters and cultivate social ties, policymakers develop social infrastructure sites, such as community centers, parks, and plazas. However, their effects on the diversity of encounters, compared to baseline sites (…
Behaviour-based dependency networks between places shape urban economic resilience
Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing…
The unequal effects of the health-economy trade-off during the Covid-19 pandemic
Despite the global impact of the coronavirus disease 2019 pandemic, the question of whether mandated interventions have similar economic and public health effects as spontaneous behavioural change remains unresolved. Addressing this question, and understanding differential effects across socioeconomic groups, requires building quantitative and fine-grained mechanistic models. Here we introduce a data-driven, granular, agent-based model that simul…
Mobility patterns are associated with experienced income segregation in large US cities
Traditional understanding of urban income segregation is largely based on static coarse-grained residential patterns. However, these do not capture the income segregation experience implied by the rich social interactions that happen in places that may relate to individual choices, opportunities, and mobility behavior. Using a large-scale high-resolution mobility data set of 4.5 million mobile phone users and 1.1 million places in 11 large Americ…
Modelling the impact of testing, contact tracing and household quarantine on second waves of Covid-19
Toward understanding the impact of artificial intelligence on labor
Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a r…
Rapid assessment of disaster damage using social media activity
Researchers show a correlation between per-capita social media activity and disaster damage, facilitating its rapid assessment.
Time Allocation in Social Networks
Time as a limited resource
Affinity Paths and information diffusion in social networks
Modelling the impact of testing, contact tracing and household quarantine on second waves of Covid-19
Behaviour-based dependency networks between places shape urban economic resilience
Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing…
The unequal effects of the health-economy trade-off during the Covid-19 pandemic
Despite the global impact of the coronavirus disease 2019 pandemic, the question of whether mandated interventions have similar economic and public health effects as spontaneous behavioural change remains unresolved. Addressing this question, and understanding differential effects across socioeconomic groups, requires building quantitative and fine-grained mechanistic models. Here we introduce a data-driven, granular, agent-based model that simul…
Future-proofing cities against negative city mobility and public health impacts of impending natural hazards
Affinity Paths and information diffusion in social networks
Time Allocation in Social Networks
Time as a limited resource
Rapid assessment of disaster damage using social media activity
Researchers show a correlation between per-capita social media activity and disaster damage, facilitating its rapid assessment.
Toward understanding the impact of artificial intelligence on labor
Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a r…
Modelling the impact of testing, contact tracing and household quarantine on second waves of Covid-19
Mobility patterns are associated with experienced income segregation in large US cities
Traditional understanding of urban income segregation is largely based on static coarse-grained residential patterns. However, these do not capture the income segregation experience implied by the rich social interactions that happen in places that may relate to individual choices, opportunities, and mobility behavior. Using a large-scale high-resolution mobility data set of 4.5 million mobile phone users and 1.1 million places in 11 large Americ…
The unequal effects of the health-economy trade-off during the Covid-19 pandemic
Despite the global impact of the coronavirus disease 2019 pandemic, the question of whether mandated interventions have similar economic and public health effects as spontaneous behavioural change remains unresolved. Addressing this question, and understanding differential effects across socioeconomic groups, requires building quantitative and fine-grained mechanistic models. Here we introduce a data-driven, granular, agent-based model that simul…
Residential and experienced social segregation
Social segregation is a challenge intensified by rapid urbanisation. Using mobility data, researchers have widened the scope of analysis from static residential segregation patterns to experienced segregation in activity space. Despite such progress, we have yet to decipher how social segregation evolves with the urban development process. The different roles of transport modes, major transport infrastructure expansion, and longitudinal changes o…
The great equalizer? Mixed effects of social infrastructure on diverse encounters in cities
Casual encounters with diverse groups of people in urban spaces have been shown to foster social capital and trust, leading to higher quality of life, civic participation, and community resilience to hazards. To promote such diverse encounters and cultivate social ties, policymakers develop social infrastructure sites, such as community centers, parks, and plazas. However, their effects on the diversity of encounters, compared to baseline sites (…
Behaviour-based dependency networks between places shape urban economic resilience
Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing…
Green space exposure and active transportation during the Covid-19 pandemic
INTRODUCTION: There is little evidence investigating the association between green space (exposure and inequality) and active transportation during the COVID-19 pandemic. This study focused on the spatial heterogeneity in trajectories of different transportation modes during the COVID-19 pandemic worldwide, as well as the association between green space exposure and inequality and active transportation during the COVID-19 pandemic from a global p…
Future-proofing cities against negative city mobility and public health impacts of impending natural hazards
Using human mobility data to quantify experienced urban inequalities
Multihazard exposure and environmental injustice
Research on environmental justice has revealed that various hazards can be created by deleterious planning decisions. Multihazard exposure , or the co-location of two or more hazards in a neighborhood, has been little studied to date. We examine heat and air pollution across the census block groups (CBGs) of 55 US cities to evaluate the distribution and sources of inequities in multihazard exposure. The study combines measures of temperature from…
Computer Science (10 obras) · Geography (7 obras) · Human Mobility and Location-Based Analysis (6 obras) · Mathematics (6 obras) · Economics (5 obras) · Sociology (5 obras) · Urban Transport and Accessibility (5 obras) · Business (4 obras) · Environmental health (4 obras) · Medicine (4 obras)