Kai Cao
Dados Biográficos
| ID | 987801 |
|---|---|
| NOME | Kai Cao |
| PRENOMES | Kai |
| SOBRENOME | Cao |
| ASSINATURA | CAO K |
| AFILIAÇÕES | East China Normal University |
| ORCID | 0000-0002-8043-1462 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 29 |
| TOTAL DE CITAÇÕES | 15 |
| TOTAL COMO AUTOR | 29 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2009 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 3 |
Trust and heterogeneity in GAI adoption
Background Generative artificial intelligence is reshaping K-12 education, yet teachers' adoption remains unbalanced and under-researched. This study integrates TAM, UTAUT, and Perceived Trust Theory to construct an adoption model for K-12 teachers' GAI adoption intention. Methods A survey of 443 K-12 teachers from 16 prefecture-level cities in Shandong Province was conducted. PLS-SEM with bootstrapping (5,000 resamples) was employed to test dire…
A cross-cultural study on the adoption intention of generative artificial intelligence among international students in China
Against the backdrop of the deep integration of higher education internationalization and generative artificial intelligence (GAI), international students in China, as a distinctive cross-cultural group, have not been sufficiently explored regarding the internal mechanisms underlying their GAI adoption behavior. This study integrates the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2), innovat…
Determinants of Generative AI Adoption Intention in Higher Education
This study constructs a “technology-individual-society” triadic integration framework, embedding cultural-psychological variables into the classic Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology, to systematically investigate the multidimensional determinants of generative AI (GAI) adoption intention in the context of Chinese higher education. Through a large-sample survey of 840 teachers and students from five …
Assessing the visual walkability perceptions of urban streets via the lens of older adults
Advancing inclusive urban mobility
A multi-objective graph reinforcement learning framework for urban public facility location problem
Multi-objective land use optimization for enhanced urban livability using a NSGA-III-differential evolution algorithm
The westernmost Bronze Age oasis settlement in the Tarim Basin
Excavations at Aketala reveal traces of human activity at the oases of the western Tarim Basin, north-western China, by at least 2200 BC. The recovered artefacts indicate that, by 1800 BC, the Andronovo culture had reached this region, bringing agropastoralism and developing the earliest regional evidence of bronze manufacturing techniques
The moderating role of ethnic culture on adoption intention of generative artificial intelligence among university students
This study is based on an extended model of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore the influencing factors of the adoption intention of generative artificial intelligence (GAI) in the higher-education environment of multi-ethnic regions. It also focuses on analyzing the moderating effects of ethnic culture. Data from 432 university students were collected through a quest…
How to lead the optimization of parks spatial patterns more comprehensively with the philosophy of green equity
The Prevalence of Chronic Diseases Among Older Chinese Adults in the Past 2 Decades
Objectives. To comprehensively analyze the prevalence of chronic diseases (hypertension, lung disease, diabetes, stroke, cancer, and heart disease) among older Chinese people. Methods. This study utilized data from 5 waves (2002, 2005, 2008, 2018, and 2022) of the Chinese Longitudinal Healthy Longevity Survey. We estimated prevalence rates using Poisson regression and Bayesian models from the DemoRates R-package and weighted according to the Chin…
Nexus Between Exposure to Natural Outdoor Environments and Cognitive Competence among Older Adults in China
With a rapidly aging population and an increasing number of older people with cognitive impairment, a multitude of social problems could arise. The natural outdoor environments (NOEs) surrounding residential areas are important environments as they directly influence the residents’ quality of life and even physical health. A plethora of studies have suggested the definitive impact of NOE on the physical and mental health of older people. There ha…
How does urbanization affect the cognitive function among older adults
Measuring the age-friendliness of streets' walking environment using multi-source big data
Web GIS as a pedagogical tool in tourist geography course
While Web GIS has been supposed as a useful tool in improving the spatial thinking abilities of students, most existing empirical studies were seldom undertaken in an educational programme providing rather limited geo-technological training to students. This study focuses on tutorial sessions of a tourism geography course in a Singaporean university, in which students usually engaged with very few GIS and other geospatial technologies. Combining …
L 0 -Norm Variable Adaptive Selection for Geographically Weighted Regression Model
A geographically weighted regression (GWR) model with fewer explanatory variables and higher prediction accuracy is required in spatial analysis and other practical applications. This article proposes an l0-norm variable adaptive selection method to enhance performances of a GWR by simultaneously performing model selection and coefficient optimization. Specifically, we formulate a regularized GWR model with an additional l0-norm constraint to shr…
The Impact of Study-at-Home During the Covid-19 Pandemic on Myopia Progression in Chinese Children
Background: To assess the impact of study-at-home during the COVID-19 pandemic on myopia development in Chinese schoolchildren. Methods: This historical cohort involved two groups with a total of 154 children. The exposed group was formed from 77 children aged 8 to 10 years who studied at home in the 7-month period during the COVID-19 pandemic (follow-up period: January – August 2020) and did not study at home in the 7-month period before the COV…
Better understanding on impact of microclimate information on building energy modelling performance for urban resilience
Disaster Image Classification by Fusing Multimodal Social Media Data
Social media datasets have been widely used in disaster assessment and management. When a disaster occurs, many users post messages in a variety of formats, e.g., image and text, on social media platforms. Useful information could be mined from these multimodal data to enable situational awareness and to support decision making during disasters. However, the multimodal data collected from social media contain a lot of irrelevant and misleading co…
Spatial Multi-Objective Land Use Optimization toward Livability Based on Boundary-Based Genetic Algorithm
In this research, the concept of livability has been quantitatively and comprehensively reviewed and interpreted to contribute to spatial multi-objective land use optimization modelling. In addition, a multi-objective land use optimization model was constructed using goal programming and a weighted-sum approach, followed by a boundary-based genetic algorithm adapted to help address the spatial multi-objective land use optimization problem. Furthe…
An urban big data-based air quality index prediction
Urban big data include various types of datasets, such as air quality data, meteorological data, and weather forecast data. Air quality index is broadly used in many countries as an indicator to measure the air pollution status. This indicator has a great impact on outdoor activities of urban residents, such as long-distance cycling, running, jogging, and walking. However, for routes planning for outdoor activities, there is still a lack of compr…
Big data, spatial optimization, and planning
A Big Data-Based Geographically Weighted Regression Model for Public Housing Prices
In this research, three hedonic pricing models, including an ordinary least squares (OLS) model, a Euclidean distance–based (ED-based) geographically weighted regression (GWR) model, and a travel time–based GWR model supported by a big data set of millions of smartcard transactions, have been developed to investigate the spatial variation of Housing Development Board (HDB) public housing resale prices in Singapore. The results help identify facto…
Geographical Accessibility of Community Health Assist Scheme General Practitioners for the Elderly Population in Singapore
Accessible primary healthcare is important to national healthcare in general and for older persons in particular, in societies where the population is ageing rapidly, as in Singapore. However, although much policy and research efforts have been put into this area, we hardly find any spatial perspective to assess the accessibility of these primary healthcare services. This paper analyzes the geographical accessibility of one major healthcare servi…
Spatial-Temporal Epidemiology of Tuberculosis in Mainland China
The spatial-temporal interaction was statistically meaningful and the prevalence of tuberculosis was influenced by the time and space interaction effect. Average temperature, rainfall, wind speed, and air pressure influenced tuberculosis. Average humidity had no influence on tuberculosis
A Big Data-Based Geographically Weighted Regression Model for Public Housing Prices
In this research, three hedonic pricing models, including an ordinary least squares (OLS) model, a Euclidean distance–based (ED-based) geographically weighted regression (GWR) model, and a travel time–based GWR model supported by a big data set of millions of smartcard transactions, have been developed to investigate the spatial variation of Housing Development Board (HDB) public housing resale prices in Singapore. The results help identify facto…
Measuring the age-friendliness of streets' walking environment using multi-source big data
L 0 -Norm Variable Adaptive Selection for Geographically Weighted Regression Model
A geographically weighted regression (GWR) model with fewer explanatory variables and higher prediction accuracy is required in spatial analysis and other practical applications. This article proposes an l0-norm variable adaptive selection method to enhance performances of a GWR by simultaneously performing model selection and coefficient optimization. Specifically, we formulate a regularized GWR model with an additional l0-norm constraint to shr…
How does urbanization affect the cognitive function among older adults
How to lead the optimization of parks spatial patterns more comprehensively with the philosophy of green equity
Applying agent-based modeling to the evolution of eco-industrial systems
Assimilating multi-site measurements for semi-distributed hydrological model updating
Association of high-density lipoprotein with development of metabolic syndrome components
The incidence of MetS increased in parallel with the decrease in HDL. Adults with a low HDL level were more susceptible to developing MetS over time. Low HDL seemed to be a pre-existing phase of MetS and may be a crucial status for MetS prevention
Spatial-Temporal Epidemiology of Tuberculosis in Mainland China
The spatial-temporal interaction was statistically meaningful and the prevalence of tuberculosis was influenced by the time and space interaction effect. Average temperature, rainfall, wind speed, and air pressure influenced tuberculosis. Average humidity had no influence on tuberculosis
Spatiotemporal Pattern Analysis of Scarlet Fever Incidence in Beijing, China, 2005–2014
The spatiotemporal patterns of scarlet fever were relatively unsteady in Beijing from 2005 to 2014. The at-risk population was mainly scattered in urban settings and dense districts with high population, indicating a positive relationship between population density and increased risk of scarlet fever exposure. Children under 15 years of age were the most susceptible to scarlet fever
Geographical Accessibility of Community Health Assist Scheme General Practitioners for the Elderly Population in Singapore
Accessible primary healthcare is important to national healthcare in general and for older persons in particular, in societies where the population is ageing rapidly, as in Singapore. However, although much policy and research efforts have been put into this area, we hardly find any spatial perspective to assess the accessibility of these primary healthcare services. This paper analyzes the geographical accessibility of one major healthcare servi…
A Big Data-Based Geographically Weighted Regression Model for Public Housing Prices
In this research, three hedonic pricing models, including an ordinary least squares (OLS) model, a Euclidean distance–based (ED-based) geographically weighted regression (GWR) model, and a travel time–based GWR model supported by a big data set of millions of smartcard transactions, have been developed to investigate the spatial variation of Housing Development Board (HDB) public housing resale prices in Singapore. The results help identify facto…
Spatial Multi-Objective Land Use Optimization toward Livability Based on Boundary-Based Genetic Algorithm
In this research, the concept of livability has been quantitatively and comprehensively reviewed and interpreted to contribute to spatial multi-objective land use optimization modelling. In addition, a multi-objective land use optimization model was constructed using goal programming and a weighted-sum approach, followed by a boundary-based genetic algorithm adapted to help address the spatial multi-objective land use optimization problem. Furthe…
An urban big data-based air quality index prediction
Urban big data include various types of datasets, such as air quality data, meteorological data, and weather forecast data. Air quality index is broadly used in many countries as an indicator to measure the air pollution status. This indicator has a great impact on outdoor activities of urban residents, such as long-distance cycling, running, jogging, and walking. However, for routes planning for outdoor activities, there is still a lack of compr…
Big data, spatial optimization, and planning
Disaster Image Classification by Fusing Multimodal Social Media Data
Social media datasets have been widely used in disaster assessment and management. When a disaster occurs, many users post messages in a variety of formats, e.g., image and text, on social media platforms. Useful information could be mined from these multimodal data to enable situational awareness and to support decision making during disasters. However, the multimodal data collected from social media contain a lot of irrelevant and misleading co…
The Impact of Study-at-Home During the Covid-19 Pandemic on Myopia Progression in Chinese Children
Background: To assess the impact of study-at-home during the COVID-19 pandemic on myopia development in Chinese schoolchildren. Methods: This historical cohort involved two groups with a total of 154 children. The exposed group was formed from 77 children aged 8 to 10 years who studied at home in the 7-month period during the COVID-19 pandemic (follow-up period: January – August 2020) and did not study at home in the 7-month period before the COV…
Better understanding on impact of microclimate information on building energy modelling performance for urban resilience
Web GIS as a pedagogical tool in tourist geography course
While Web GIS has been supposed as a useful tool in improving the spatial thinking abilities of students, most existing empirical studies were seldom undertaken in an educational programme providing rather limited geo-technological training to students. This study focuses on tutorial sessions of a tourism geography course in a Singaporean university, in which students usually engaged with very few GIS and other geospatial technologies. Combining …
L 0 -Norm Variable Adaptive Selection for Geographically Weighted Regression Model
A geographically weighted regression (GWR) model with fewer explanatory variables and higher prediction accuracy is required in spatial analysis and other practical applications. This article proposes an l0-norm variable adaptive selection method to enhance performances of a GWR by simultaneously performing model selection and coefficient optimization. Specifically, we formulate a regularized GWR model with an additional l0-norm constraint to shr…
How does urbanization affect the cognitive function among older adults
Measuring the age-friendliness of streets' walking environment using multi-source big data
The moderating role of ethnic culture on adoption intention of generative artificial intelligence among university students
This study is based on an extended model of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore the influencing factors of the adoption intention of generative artificial intelligence (GAI) in the higher-education environment of multi-ethnic regions. It also focuses on analyzing the moderating effects of ethnic culture. Data from 432 university students were collected through a quest…
How to lead the optimization of parks spatial patterns more comprehensively with the philosophy of green equity
The Prevalence of Chronic Diseases Among Older Chinese Adults in the Past 2 Decades
Objectives. To comprehensively analyze the prevalence of chronic diseases (hypertension, lung disease, diabetes, stroke, cancer, and heart disease) among older Chinese people. Methods. This study utilized data from 5 waves (2002, 2005, 2008, 2018, and 2022) of the Chinese Longitudinal Healthy Longevity Survey. We estimated prevalence rates using Poisson regression and Bayesian models from the DemoRates R-package and weighted according to the Chin…
Nexus Between Exposure to Natural Outdoor Environments and Cognitive Competence among Older Adults in China
With a rapidly aging population and an increasing number of older people with cognitive impairment, a multitude of social problems could arise. The natural outdoor environments (NOEs) surrounding residential areas are important environments as they directly influence the residents’ quality of life and even physical health. A plethora of studies have suggested the definitive impact of NOE on the physical and mental health of older people. There ha…
Trust and heterogeneity in GAI adoption
Background Generative artificial intelligence is reshaping K-12 education, yet teachers' adoption remains unbalanced and under-researched. This study integrates TAM, UTAUT, and Perceived Trust Theory to construct an adoption model for K-12 teachers' GAI adoption intention. Methods A survey of 443 K-12 teachers from 16 prefecture-level cities in Shandong Province was conducted. PLS-SEM with bootstrapping (5,000 resamples) was employed to test dire…
A cross-cultural study on the adoption intention of generative artificial intelligence among international students in China
Against the backdrop of the deep integration of higher education internationalization and generative artificial intelligence (GAI), international students in China, as a distinctive cross-cultural group, have not been sufficiently explored regarding the internal mechanisms underlying their GAI adoption behavior. This study integrates the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2), innovat…
Determinants of Generative AI Adoption Intention in Higher Education
This study constructs a “technology-individual-society” triadic integration framework, embedding cultural-psychological variables into the classic Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology, to systematically investigate the multidimensional determinants of generative AI (GAI) adoption intention in the context of Chinese higher education. Through a large-sample survey of 840 teachers and students from five …
Assessing the visual walkability perceptions of urban streets via the lens of older adults
Computer Science (13 obras) · Geography (12 obras) · Urban Transport and Accessibility (8 obras) · China (6 obras) · Mathematics (6 obras) · Artificial Intelligence (5 obras) · Data mining (5 obras) · AI in Service Interactions (4 obras) · Big data (4 obras) · Engineering (4 obras)