Song Gao
Datos Biográficos
| ID | 3584360 |
|---|---|
| NOMBRE | Song Gao |
| NOMBRES | Song |
| APELLIDO | Gao |
| FIRMA | GAO S |
| AFILIACIONES | University of Wisconsin–Madison |
| ORCID | 0000-0003-4359-6302 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 54 |
| TOTAL DE CITAS | 117 |
| TOTAL COMO AUTOR | 54 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2010 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 5 |
GeoAI and Spatially Explicit AI Methods
GeoAI is the integration of geospatial technologies and artificial intelligence (AI), especially for developing data‐driven and knowledge‐guided spatially explicit AI methods. This entry introduces the approaches to incorporating spatial thinking and principles into the development of spatially explicit machine learning, deep learning, and GeoAI foundation models, as well as into constructing geospatial knowledge graphs. The advancement in spatia…
Networked Regional Resilience
Regions face not only direct exposure to economic and physical shocks but also indirect consequences of actions in interconnected regions. This paper examines how socio‐spatial networks shape regional resilience to contagious shocks through dynamic feedback between risk diffusion and adaptation diffusion. In our framework, peer effects generate positive spillovers in risk‐mitigating adaptation across social networks, while evolving cross‐regional…
Advancing inclusive urban mobility
What Makes a Place Safe? Assessing AI-Generated Safety Perception Scores Using Stockholm’s Street View Images
This article investigates what causes an urban environment to be perceived as safe using Stockholm, the capital of Sweden, as the study area. The study integrates AI-generated safety scores from street view images, image segmentation techniques and conventional and crowdsourced data using Geographical Information Systems (GIS) and regression models. After accounting for income, crime and other area characteristics, the models reveal that areas wi…
Long-term spatial–temporal evolution of hepatitis C burden in eastern China
Background Hepatitis C is an inflammation of the liver caused by the hepatitis C virus (HCV) and represents a major public health challenge. This study aimed to explore the epidemiological characteristics and spatiotemporal distribution of hepatitis C in Wuxi City, a developed and low-epidemic area of eastern China, from 2007 to 2021. Methods Data were obtained from the Chinese Information System for Disease Control and Prevention, while genotype…
Predicting origin-destination flows by considering heterogeneous mobility patterns
An experiential learning-based transit route choice model using large-scale smart-card data
Transferred Bias Uncovers the Balance Between the Development of Physical and Socioeconomic Environments of Cities
Evaluating the balance between a city’s physical and socioeconomic environmental development is crucial for creating sustainable and livable urban spaces. Although they might appear contradictory, they jointly support the comprehensive sustainable urban development strategy. Traditional methods usually focus on assessing this balance from a specific perspective, such as how neighborhood greenery shapes real estate value. Yet, they fail to deliver…
GeoAI-enhanced community detection on spatial networks with graph deep learning
Modeling Region Affiliation with Fuzzy Membership Based on Spatial and Social Interactions
A key challenge in regionalization is that regions, such as urban function zones or climate zones, often have indeterminate boundaries, making it difficult to exactly quantify their geographic extent. Political redistricting, as a regionalization task, deals with this problem acutely, as requirements to preserve communities of interest (COIs) do not define such communities, introducing inherent vagueness in their boundaries. To address this issue…
Identifying Rich Clubs in Spatiotemporal Interaction Networks
Spatial networks are widely used in various fields to represent and analyze interactions or relationships between locations or spatially distributed entities. Existing studies have proposed methods for hub identification and community detection in spatial networks, but relatively few have focused on quantifying the strength or density of connections shared within a community of hubs across space and time. Borrowing from network science, there is …
Crime and Visually Perceived Safety of the Built Environment
Financial inclusion empowering sustainable technologies
Leveraging context-adjusted nighttime light data for socioeconomic explanations of global urban resilience
Urban resilience, crucial for achieving sustainable development goals, entails the adaptation and recovery of urban systems from external shocks, such as the recent global pandemic. To investigate the response of urban systems to COVID-19, this study employs context-adjusted nighttime light data to model global urban resilience by combining an evolving urban resilience metric (EURm) with the shape similarity of resilience curves. Random effect an…
Artificial intelligence studies in cartography
The past decade has witnessed the rapid development of geospatial artificial intelligence (GeoAI) primarily due to the ground-breaking achievements in deep learning and machine learning. A growing number of scholars from cartography have demonstrated successfully that GeoAI can accelerate previously complex cartographic design tasks and even enable cartographic creativity in new ways. Despite the promise of GeoAI, researchers and practitioners ha…
Integrating smart card records and dockless bike-sharing data to understand the effect of the built environment on cycling as a feeder mode for metro trips
Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden
The mechanism of action of safflower total flavonoids in the treatment of endometritis caused by incomplete abortion based on network pharmacology and 16S rDNA sequencing
Bringing spatial interaction measures into multi-criteria assessment of redistricting plans using interactive web mapping
Redistricting is the process by which electoral district boundaries are drawn so as to capture coherent communities of interest (COIs). While states rely on various proxies for community illustration, such as compactness and municipal split counts, to guide redistricting, recent legal challenges and scholarly works have shown the difficulty of balancing multiple criteria in district plan creation. To address these issues, we propose the use of sp…
Health disparity in the spread of Covid-19
This study answers critically unaddressed questions about health disparities in the spread of COVID-19 by assessing factors that might explain why the spread is different in different groups
The implementation of “integration of sports and medicine” in China
The “integration of sports and medicine” (ISM) under the “Healthy China 2030” strategy can alleviate the contradiction between residents' health needs and medical supply. Under the “Healthy China 2030” strategy, the government-initiated calls and measures for the integration of sports and medical institutions based on the actual region conditions. This article outlines the “Sports-Medical Integration” program implemented in the coastal cities of …
Heat Strain Evaluation of Power Grid Outdoor Workers Based on a Human Bioheat Model
Power grid outdoor workers are usually exposed to hot environments and could suffer the threats to occupational health and safety like heat strain and injury. In order to predict and assess the thermophysiological responses of grid workers in the heat, the clothing thermal insulation of grid worker ensembles was measured by a thermal manikin and a multi-segment human bioheat model was employed to evaluate the thermophysiological response paramete…
Research Infrastructure Core Facilities at Research Centers in Minority Institutions
Funded by the National Institutes of Health (NIH), the Research Centers in Minority Institutions (RCMI) Program fosters the development and implementation of innovative research aimed at improving minority health and reducing or eliminating health disparities. Currently, there are 21 RCMI Specialized (U54) Centers that share the same framework, comprising four required core components, namely the Administrative, Research Infrastructure, Investiga…
Perception of urban population characteristics through dietary taste patterns based on takeout data
Staying at Home Is a Privilege
The coronavirus disease 2019 (COVID-19) has exposed and, to some degree, exacerbated social inequity in the United States. This study reveals the correlation between demographic and socioeconomic variables and home-dwelling time records derived from large-scale mobile phone location tracking data at the U.S. census block group (CBG) level in the twelve most populated Metropolitan Statistical Areas (MSAs) and further investigates the contribution …
Social Sensing
The emergence of big data brings new opportunities for us to understand our socioeconomic environments. We use the term social sensing for such individual-level big geospatial data and the associated analysis methods. The word sensing suggests two natures of the data. First, they can be viewed as the analogue and complement of remote sensing, as big data can capture well socioeconomic features while conventional remote sensing data do not have su…
Staying at Home Is a Privilege
The coronavirus disease 2019 (COVID-19) has exposed and, to some degree, exacerbated social inequity in the United States. This study reveals the correlation between demographic and socioeconomic variables and home-dwelling time records derived from large-scale mobile phone location tracking data at the U.S. census block group (CBG) level in the twelve most populated Metropolitan Statistical Areas (MSAs) and further investigates the contribution …
The spatial aggregation of rural e-commerce in China
Human settlement value assessment from a place perspective
Fiscal Decentralization and Life Satisfaction
Bringing spatial interaction measures into multi-criteria assessment of redistricting plans using interactive web mapping
Redistricting is the process by which electoral district boundaries are drawn so as to capture coherent communities of interest (COIs). While states rely on various proxies for community illustration, such as compactness and municipal split counts, to guide redistricting, recent legal challenges and scholarly works have shown the difficulty of balancing multiple criteria in district plan creation. To address these issues, we propose the use of sp…
Transferred Bias Uncovers the Balance Between the Development of Physical and Socioeconomic Environments of Cities
Evaluating the balance between a city’s physical and socioeconomic environmental development is crucial for creating sustainable and livable urban spaces. Although they might appear contradictory, they jointly support the comprehensive sustainable urban development strategy. Traditional methods usually focus on assessing this balance from a specific perspective, such as how neighborhood greenery shapes real estate value. Yet, they fail to deliver…
A Five-Star Guide for Achieving Replicability and Reproducibility When Working with GIS Software and Algorithms
The availability and use of geographic information technologies and data for describing the patterns and processes operating on or near the Earth’s surface have grown substantially during the past fifty years. The number of geographic information systems software packages and algorithms has also grown quickly during this period, fueled by rapid advances in computing and the explosive growth in the availability of digital data describing specific …
Investigating urban metro stations as cognitive places in cities using points of interest
Understanding neighborhood isolation through spatial interaction network analysis using location big data
Hidden biases of racial and socioeconomic preferences shape residential neighborhoods throughout the USA. Thereby, these preferences shape neighborhoods composed predominantly of a particular race or income class. However, the assessment of spatial extent and the degree of isolation outside the residential neighborhoods at large scale is challenging, which requires further investigation to understand and identify the magnitude and underlying geos…
GeoAI-enhanced community detection on spatial networks with graph deep learning
What Makes a Place Safe? Assessing AI-Generated Safety Perception Scores Using Stockholm’s Street View Images
This article investigates what causes an urban environment to be perceived as safe using Stockholm, the capital of Sweden, as the study area. The study integrates AI-generated safety scores from street view images, image segmentation techniques and conventional and crowdsourced data using Geographical Information Systems (GIS) and regression models. After accounting for income, crime and other area characteristics, the models reveal that areas wi…
Modeling Region Affiliation with Fuzzy Membership Based on Spatial and Social Interactions
A key challenge in regionalization is that regions, such as urban function zones or climate zones, often have indeterminate boundaries, making it difficult to exactly quantify their geographic extent. Political redistricting, as a regionalization task, deals with this problem acutely, as requirements to preserve communities of interest (COIs) do not define such communities, introducing inherent vagueness in their boundaries. To address this issue…
Identifying Rich Clubs in Spatiotemporal Interaction Networks
Spatial networks are widely used in various fields to represent and analyze interactions or relationships between locations or spatially distributed entities. Existing studies have proposed methods for hub identification and community detection in spatial networks, but relatively few have focused on quantifying the strength or density of connections shared within a community of hubs across space and time. Borrowing from network science, there is …
Crime and Visually Perceived Safety of the Built Environment
Integrating smart card records and dockless bike-sharing data to understand the effect of the built environment on cycling as a feeder mode for metro trips
Health disparity in the spread of Covid-19
This study answers critically unaddressed questions about health disparities in the spread of COVID-19 by assessing factors that might explain why the spread is different in different groups
The Development, Evolution, and Modifications of ICD-10
BACKGROUND: The United States is about to make a major nationwide transition from ICD-9-CM coding of hospital discharges to ICD-10-CM, a country-specific modification of the World Health Organization's ICD-10. As this transition occurs, the WHO is already in the midst of developing ICD-11. Given this context, we undertook this review to discuss: (1) the history of the International Classification of Diseases (a core information "building block" f…
Can increases in the cigarette tax rate be linked to cigarette retail prices? Solving mysteries related to the cigarette pricing mechanism in China
Numerous studies have found that taxation is one of the most effective policy instruments for tobacco control. However, these findings come from countries that have market economies where market forces determine prices and influence how cigarette taxes are passed to the consumers in retail prices. China's tobacco industry is not a market economy; therefore, non-market forces and the current Chinese tobacco monopoly system determine cigarette pric…
Understanding intra-urban trip patterns from taxi trajectory data
Urban land uses and traffic ‘source-sink areas’
Discovering Spatial Interaction Communities from Mobile Phone D ata
In the age of B ig D ata, the widespread use of location‐awareness technologies has made it possible to collect spatio‐temporal interaction data for analyzing flow patterns in both physical space and cyberspace. This research attempts to explore and interpret patterns embedded in the network of phone‐call interaction and the network of phone‐users’ movements, by considering the geographical context of mobile phone cells. We adopt an agglomerative…
Managing short-lived climate forcers in curbing climate change
Fiscal Decentralization and Life Satisfaction
Extracting and understanding urban areas of interest using geotagged photos
Developing an activity and absorption-based quality control platform for Chinese traditional medicine
POI Pulse
The volume, velocity, and variety of data that are now becoming available allow us to study urban environments based on human behaviour with a spatial, temporal, and thematic granularity that was not achievable until now. Such data-driven approaches open up additional, complementary perspectives on how urban systems function, especially if they are based on user-generated content (UGC). While the data sources, such as social media, introduce spec…
Social Sensing
The emergence of big data brings new opportunities for us to understand our socioeconomic environments. We use the term social sensing for such individual-level big geospatial data and the associated analysis methods. The word sensing suggests two natures of the data. First, they can be viewed as the analogue and complement of remote sensing, as big data can capture well socioeconomic features while conventional remote sensing data do not have su…
Extracting urban functional regions from points of interest and human activities on location‐based social networks
Data about points of interest (POI) have been widely used in studying urban land use types and for sensing human behavior. However, it is difficult to quantify the correct mix or the spatial relations among different POI types indicative of specific urban functions. In this research, we develop a statistical framework to help discover semantically meaningful topics and functional regions based on the co‐occurrence patterns of POI types. The frame…
Successive monitoring surveys of selected banned and restricted pesticide residues in vegetables from the northwest region of China from 2011 to 2013
The observed high rate of pesticides detected and high incidence of pesticide detection exceeding their MRLs in the commonly consumed vegetables indicated that the Good Agricultural Practices (GAP) may not be well followed. The management of pesticide use and control should be improved. Well-developed training programs should be initiated to improve pesticide application knowledge for farmers
A roundtable discussion
The field of urban analytics and city science has seen significant growth and development in the past 20 years. The rise of data science, both in industry and academia, has put new pressures on urban research, but has also allowed for new analytical possibilities. Because of the rapid growth and change in the field, terminology in urban analytics can be vague and unclear. This paper, an abridged synthesis of a panel discussion among scholars in U…
Dynamic Estimation of Individual Exposure Levels to Air Pollution Using Trajectories Reconstructed from Mobile Phone Data
The spatiotemporal variability in air pollutant concentrations raises challenges in linking air pollution exposure to individual health outcomes. Thus, understanding the spatiotemporal patterns of human mobility plays an important role in air pollution epidemiology and health studies. With the advantages of massive users, wide spatial coverage and passive acquisition capability, mobile phone data have become an emerging data source for compiling …
ZhiShiXiaoPi tang inhibits autophagy induced by corticosterone and functional dyspepsia through blockade of the mTOR pathway
A review of urban physical environment sensing using street view imagery in public health studies
Urban physical environments are the physical settings and built environments in neighbourhoods and cities which provide places for human activities. Evidence suggests that there are substantial associations between urban physical environments and various health outcomes, e.g. people’s physical activities might be influenced by surrounding physical environments, thereby affecting their health behaviours; more exposure to urban physical environment…
GeoAI
Multiscale dynamic human mobility flow dataset in the U.S. during the Covid-19 epidemic
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 pandemic. In this data descriptor, we introduce a regularly-updated multiscale dynamic human mobility flow dataset across the United States, with data starting from March 1st, 2020. By analysing millions of anonymous m…
Uncovering inconspicuous places using social media check-ins and street view images
The spatial aggregation of rural e-commerce in China
Investigating urban metro stations as cognitive places in cities using points of interest
Understanding neighborhood isolation through spatial interaction network analysis using location big data
Hidden biases of racial and socioeconomic preferences shape residential neighborhoods throughout the USA. Thereby, these preferences shape neighborhoods composed predominantly of a particular race or income class. However, the assessment of spatial extent and the degree of isolation outside the residential neighborhoods at large scale is challenging, which requires further investigation to understand and identify the magnitude and underlying geos…
Activity knowledge discovery
Urban function classification at road segment level using taxi trajectory data
Geography (36 obras) · Computer Science (28 obras) · Human Mobility and Location-Based Analysis (25 obras) · Engineering (15 obras) · Urban Transport and Accessibility (15 obras) · Data science (12 obras) · Medicine (11 obras) · Data mining (9 obras) · Psychology (9 obras) · Business (8 obras)