A5051197249- Human Mobility and Location-Based Analysis
- Complex Network Analysis Techniques
- Urban Transport and Accessibility
- Regional Economics and Spatial Analysis
- Data-Driven Disease Surveillance
- Opinion Dynamics and Social Influence
- Social Capital and Networks
- Urban, Neighborhood, and Segregation Studies
- Opportunistic and Delay-Tolerant Networks
- Video Surveillance and Tracking Methods
- Pelvic and Acetabular Injuries
- Consumer Retail Behavior Studies
- Social Media and Politics
- Global Cancer Incidence and Screening
- Context-Aware Activity Recognition Systems
- COVID-19 epidemiological studies
- Land Use and Ecosystem Services
- Energy, Environment, Economic Growth
- Traffic Prediction and Management Techniques
- Mobile Health and mHealth Applications
- Economic and Technological Innovation
- Cervical Cancer and HPV Research
- Migration and Labor Dynamics
- Energy, Environment, and Transportation Policies
- Impact of Light on Environment and Health
University of California, Berkeley
2017-2023
Menlo School
2022
State Key Laboratory of Remote Sensing Science
2016
Peking University
2015-2016
The emergence of big data brings new opportunities for us to understand our socioeconomic environments. We use the term social sensing such individual-level geospatial and associated analysis methods. word suggests two natures data. First, they can be viewed as analogue complement remote sensing, capture well features while conventional do not have privilege. Second, in data, each individual plays role a sensor. This article conceptually bridges with points out major issues when applying...
Many critical policy decisions, from strategic investments to the allocation of humanitarian aid, rely on data about geographic distribution wealth and poverty. Yet many poverty maps are out date or exist only at very coarse levels granularity. Here we develop microestimates relative populated surface all 135 low- middle-income countries (LMICs) 2.4 km resolution. The estimates built by applying machine-learning algorithms vast heterogeneous satellites, mobile phone networks, topographic...
Abstract How do social networks influence the decision to migrate? Prior work suggests two distinct mechanisms that have historically been difficult differentiate: as a conduit of information, and source economic support. We disentangle these using massive “digital trace” dataset allows us observe migration decisions made by millions individuals over several years, well complete network each person in months before after migration. These data allow establish new set stylized facts about...
Detecting intensely connected sub-networks, or communities, from social networks has attracted much attention in network studies. The widespread use of location-awareness devices provides a novel data source for constructing spatially embedded and uncovering spatial features different population groups. Using an empirical mobile phone data-set, this paper attempts to explore the distributions human mobility patterns, as well interrelationship between them, at community level. Three patterns...
Real estate projects are developed excessively in China this decade. Many new housing districts built, but they far exceed the actual demand some cities. These cities with a high vacancy rate called ghost The real situation of vacant areas has not been studied previous research. This study, using Baidu positioning data, presents spatial distribution and classifies large area as or tourism sites. To best our knowledge, it is first time that we detected analyzed at such fine scale. understand...
Empirical research on migration has historically been fraught with measurement challenges. Recently, the increasing ubiquity of digital trace data—from mobile phones, social media, and related sources 'big data'—has created new opportunities for quantitative analysis migration. However, most existing work relies relatively ad hoc methods inferring Here, we develop validate a novel general approach to detecting events in data. We benchmark this method using two different datasets: four years...
We introduce network science methods to uncover inherent characteristics of functional regions. An aggregate spatial interaction is constructed based on a large mobile phone data set including 431 million calls made by 10 anonymous customers over one month and the geographic locations base towers involved in each call. use Thiessen polygons (termed 'cells') as unit analysis approximate service area tower. Major findings encompass following three aspects. First, cells with high betweenness...
Social capital is widely believed to impact a wide range of outcomes including subjective well-being, social mobility, and community health. We aggregate data on over 20 million Facebook users in the United Kingdom construct several measures cross-type connectedness, network clustering, civic engagement volunteering. find that networks UK bridge class divides, with people below median socioeconomic status distribution (low-SES people) having about half (47%) their friendships above (high-SES...
Existing estimates of human migration are limited in their scope, reliability, and timeliness, prompting the United Nations Global Compact on Migration to call for improved data collection. Using privacy protected records from three billion Facebook users, we estimate country-to-country flows at monthly granularity 181 countries, accounting selection into usage. Our closely match high-quality measures where available but can be produced nearly worldwide with less delay than alternative...
Objective The objectives of this study were to examine (1) the linkage from airports regional talent distribution and (2) effect on economic development. Methods Using data collected in Wisconsin at municipal level, a subcounty region North Central United States 1970 2010 American Community Survey 2006–2010 five‐year estimates, random effects models structural equation models, we employ descriptive inferential statistics Results We find that farther location is away airport, lower its share...
Human civilization faces existential threats in the forms of climate change, food insecurity, pandemics, international conflicts, forced displacements, and environmental injustice. These overarching humanitarian challenges disproportionately impact historically marginalized communities worldwide. UN OCHA estimates that 274 million people will need support 2022. Despite growing perils to human well-being, there remains a paucity publicly-engaged computing research inform design interventions....
Author(s): Chi, Guanghua; Fang, Han; Chatterjee, Sourav; Blumenstock, Joshua E. | Abstract: Many critical policy decisions, from strategic investments to the allocation of humanitarian aid, rely on data about geographic distribution wealth and poverty. Yet many poverty maps are out date or exist only at very coarse levels granularity. Here we develop first micro-estimates that cover populated surface all 135 low middle-income countries (LMICs) 2.4km resolution. The estimates built by...
Objective: To analyze the relationship between education degree and death site of individuals with bone-related diseases in Inner Mongolia. Methods: Using data from monitoring points Mongolia 2008 to 2015, disease deaths were identified based on International Classification Diseases Criteria. Crude mortality, as well gender-, age-, region-specific mortality age-specific growth resulting bone diseases, calculated. The proportion chi-square test carried out. Results: average rate during study...