Guanpeng Dong
Datos Biográficos
| ID | 3584306 |
|---|---|
| NOMBRE | Guanpeng Dong |
| NOMBRES | Guanpeng |
| APELLIDO | Dong |
| FIRMA | DONG G |
| AFILIACIONES | Henan University |
| ORCID | 0000-0003-0949-1304 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 31 |
| TOTAL DE CITAS | 97 |
| TOTAL COMO AUTOR | 31 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2013 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 7 |
Beyond global metrics
Examining the relationship among neighborhood environment, transportation-related physical activity and health
How mobility-based exposure to green space and environmental pollution influence individuals’ wellbeing? A structural equation analysis through the lens of environmental justice
Accounting for ecosystem service flows in water security assessment
Geographical match of objective and subjective measures of well-being at an intra-city scale
The contrasting trend of global urbanization-induced impacts on day and night land surface temperature from a time-series perspective
Exploring the effects of multi-dimensional geographic environment on daily sleep and physical activity based on the Actigraph data
Stylized facts of past 1000-year of China’s cropland changes
A Route Map for Successful Applications of Geographically Weighted Regression
Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of social and environmental data. It allows spatial heterogeneities in processes and relationships to be investigated through a series of local regression models rather than a single global one. Standard GWR assumes that relationships between the response and predictor variables operate at the same spatial scale, which is frequently not the case. To address this, se…
Periodicity and Variability in Daily Activity Satisfaction
Understanding how geographical environments influence peoples' subjective experiences of daily activities is of great potential for improving subjective well-being (SWB), a subject that is presently limited by a lack of available data and proper statistical methods. Focusing on Beijing and using a unique data set that linked residents' seven-day mobility trajectories at a fine spatiotemporal resolution to their complete activity participation and…
Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression
Spatial heterogeneity is important for exploring data relationships between real estate price and its influential factors. The geographically weighted regression (GWR) technique has been frequently adopted for this purpose. In this study, we collected a second-hand real estate house price data set of Wuhan, in which each property is located the same as the community it belongs to. Thus, this data set possesses a typical characteristic, that is, d…
Urban-Rural Disparity in Community Resilience
PM2.5 Concentrations Variability in North China Explored with a Multi-Scale Spatial Random Effect Model
Compiling fine-resolution geospatial PM 2.5 concentrations data is essential for precisely assessing the health risks of PM 2.5 pollution exposure as well as for evaluating environmental policy effectiveness. In most previous studies, global and local spatial heterogeneity of PM 2.5 is captured by the inclusion of multi-scale covariate effects, while the modelling of genuine scale-dependent variabilities pertaining to the spatial random process o…
The Influence of Air Pollution on Happiness and Willingness to Pay for Clean Air in the Bohai Rim Area of China
Air pollution imposes detrimental impacts on residents' health and the general quality of life. Quantifying the influential mechanism of air pollution on residents' happiness and the economic value brought by environmental quality improvement could provide a scientific basis for the construction of livable cities. This study estimated urban residents' willingness to pay for air pollution abatement by modeling the spatial relationship between air …
The Evolution Characteristics and Influence Mechanism of Chinese Venture Capital Spatial Agglomeration
As an emerging financial entity, venture capital has a significant impact on regional development. However, the research on venture capital mainly focuses on the fields of finance, management, and economics, and fewer researchers study venture capital from the perspective of geography and space. This research explored the evolution characteristics and influence mechanism of Chinese venture capital spatial agglomeration. The innovation of this pap…
Geography of broadband faults explored with a Bayesian spatio-temporal statistical model
A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province
Urbanization processes at both global and regional scales are taking place at an unprecedent pace, leading to more than half of the global population living in urbanized areas. This process could exert grand challenges on the human living environment. With the proliferation of remote sensing and satellite data being used in social and environmental studies, fine spatial- and temporal-resolution measures of urban expansion and environmental qualit…
Contextualized effects of Park access and usage on residential satisfaction
An investigation of migrants’ residential satisfaction in Beijing
Chinese cities have witnessed enormous neighbourhood changes as a result of housing reforms, rapid urban expansion and massive rural-to-urban migration. Migrants, without local hukou status, are confronted with many constraints in accessing urban housing. While previous studies have focused on migrants’ poor housing conditions, relatively little is known about their self-selection into different neighbourhood types, as well as their subjective ev…
Developing a Locally Adaptive Spatial Multilevel Logistic Model to Analyze Ecological Effects on Health Using Individual Census Records
Geographical variable distributions often exhibit both macroscale geographic smoothness and microscale discontinuities or local step changes. Nonetheless, accounting for both effects in a unified statistical model is challenging, especially when the data under study involve a multiscale structure and non-Gaussian response variables. This study develops a locally adaptive spatial multilevel logistic model to examine binomial response variables tha…
Building Hierarchies of Retail Centers Using Bayesian Multilevel Models
The perceived quality of urban environments is intrinsically tied to the availability of desirable leisure and retail opportunities. In this article, we explore methodological approaches for deriving indicators that estimate the willingness to pay for retail and leisure services offered by retail centers. Most often, because the quality of urban environments cannot be qualified by a natural unit, the willingness to pay for an urban environment is…
Residential environment and subjective well-being in Beijing
Existing literature has examined the determinants of subjective well-being in China from the social, economic and psychological perspectives. Very few studies explore the impacts of residential environment on subjective well-being. Drawing on a large scale questionnaire survey in Beijing, this paper investigates the role of residential environment by decomposing the variations of subjective well-being at fine-grained spatial scales, i.e. district…
Settlement intention of migrants in the Yangtze River Delta, China
Millions of Chinese migrants have moved from the countryside to cities to seek job opportunities and a better life. Under the policy shift from “land‐based urbanisation” to “people‐oriented urbanisation,” it is important to understand what determines migrants' settlement intentions. Although previous studies have primarily focused on sociodemographic impacts on settlement intention, the role of city‐level contexts is understudied. Drawing upon da…
Frontiers in Residential Segregation
‘Social frontiers’ – places of sharp difference in social/ethnic characteristics between neighbouring communities – have largely been overlooked in quantitative research. Advancing this nascent field first requires a way of identifying social frontiers in a robust way. Such frontiers may be ‘open’ – an area may contrast sharply with a neighbourhood in one direction, but blend smoothly into adjacent neighbourhoods in other directions. This poses s…
Reconsidering the Relationship between Air Pollution and Deprivation
This paper critically examines the relationship between air pollution and deprivation. We argue that focusing on a particular economic or social model of urban development might lead one to erroneously expect all cities to converge towards a particular universal norm. A naive market sorting model, for example, would predict that poor households will eventually be sorted into high pollution areas, leading to a positive relationship between air pol…
Does satisfactory neighbourhood environment lead to a satisfying life? An investigation of the association between neighbourhood environment and life satisfaction in Beijing
Settlement intention of migrants in the Yangtze River Delta, China
Millions of Chinese migrants have moved from the countryside to cities to seek job opportunities and a better life. Under the policy shift from “land‐based urbanisation” to “people‐oriented urbanisation,” it is important to understand what determines migrants' settlement intentions. Although previous studies have primarily focused on sociodemographic impacts on settlement intention, the role of city‐level contexts is understudied. Drawing upon da…
Inequality in Beijing
Environmental pollution is a major problem in China, subjecting people to significant health risk. Surprisingly little is known, though, about how these risks are distributed spatially or socially. Drawing on a large-scale survey conducted in Beijing in 2013, we examine how environmental hazards and health, as perceived by residents, are distributed at a fine (subdistrict) scale in urban Beijing and investigate the association between hazards, he…
An investigation of migrants’ residential satisfaction in Beijing
Chinese cities have witnessed enormous neighbourhood changes as a result of housing reforms, rapid urban expansion and massive rural-to-urban migration. Migrants, without local hukou status, are confronted with many constraints in accessing urban housing. While previous studies have focused on migrants’ poor housing conditions, relatively little is known about their self-selection into different neighbourhood types, as well as their subjective ev…
Determinant of residential location choice in a transitional housing market
Contextualized effects of Park access and usage on residential satisfaction
Frontiers in Residential Segregation
‘Social frontiers’ – places of sharp difference in social/ethnic characteristics between neighbouring communities – have largely been overlooked in quantitative research. Advancing this nascent field first requires a way of identifying social frontiers in a robust way. Such frontiers may be ‘open’ – an area may contrast sharply with a neighbourhood in one direction, but blend smoothly into adjacent neighbourhoods in other directions. This poses s…
Spatial Random Slope Multilevel Modeling Using Multivariate Conditional Autoregressive Models
This article explores how to incorporate a spatial dependence effect into the standard multilevel modeling (MLM). The proposed method is particularly well suited to the analysis of geographically clustered survey data where individuals are nested in geographical areas. Drawing on multivariate conditional autoregressive models, we develop a spatial random slope MLM approach to account for the within-group dependence among individuals in the same a…
Schools, land markets and spatial effects
Periodicity and Variability in Daily Activity Satisfaction
Understanding how geographical environments influence peoples' subjective experiences of daily activities is of great potential for improving subjective well-being (SWB), a subject that is presently limited by a lack of available data and proper statistical methods. Focusing on Beijing and using a unique data set that linked residents' seven-day mobility trajectories at a fine spatiotemporal resolution to their complete activity participation and…
Building Hierarchies of Retail Centers Using Bayesian Multilevel Models
The perceived quality of urban environments is intrinsically tied to the availability of desirable leisure and retail opportunities. In this article, we explore methodological approaches for deriving indicators that estimate the willingness to pay for retail and leisure services offered by retail centers. Most often, because the quality of urban environments cannot be qualified by a natural unit, the willingness to pay for an urban environment is…
Developing a Locally Adaptive Spatial Multilevel Logistic Model to Analyze Ecological Effects on Health Using Individual Census Records
Geographical variable distributions often exhibit both macroscale geographic smoothness and microscale discontinuities or local step changes. Nonetheless, accounting for both effects in a unified statistical model is challenging, especially when the data under study involve a multiscale structure and non-Gaussian response variables. This study develops a locally adaptive spatial multilevel logistic model to examine binomial response variables tha…
Stylized facts of past 1000-year of China’s cropland changes
The puzzling heterogeneity of amenity capitalization effects on land markets
Determinant of residential location choice in a transitional housing market
Schools, land markets and spatial effects
Spatial Random Slope Multilevel Modeling Using Multivariate Conditional Autoregressive Models
This article explores how to incorporate a spatial dependence effect into the standard multilevel modeling (MLM). The proposed method is particularly well suited to the analysis of geographically clustered survey data where individuals are nested in geographical areas. Drawing on multivariate conditional autoregressive models, we develop a spatial random slope MLM approach to account for the within-group dependence among individuals in the same a…
The puzzling heterogeneity of amenity capitalization effects on land markets
Inequality in Beijing
Environmental pollution is a major problem in China, subjecting people to significant health risk. Surprisingly little is known, though, about how these risks are distributed spatially or socially. Drawing on a large-scale survey conducted in Beijing in 2013, we examine how environmental hazards and health, as perceived by residents, are distributed at a fine (subdistrict) scale in urban Beijing and investigate the association between hazards, he…
Reconsidering the Relationship between Air Pollution and Deprivation
This paper critically examines the relationship between air pollution and deprivation. We argue that focusing on a particular economic or social model of urban development might lead one to erroneously expect all cities to converge towards a particular universal norm. A naive market sorting model, for example, would predict that poor households will eventually be sorted into high pollution areas, leading to a positive relationship between air pol…
Does satisfactory neighbourhood environment lead to a satisfying life? An investigation of the association between neighbourhood environment and life satisfaction in Beijing
Residential environment and subjective well-being in Beijing
Existing literature has examined the determinants of subjective well-being in China from the social, economic and psychological perspectives. Very few studies explore the impacts of residential environment on subjective well-being. Drawing on a large scale questionnaire survey in Beijing, this paper investigates the role of residential environment by decomposing the variations of subjective well-being at fine-grained spatial scales, i.e. district…
Settlement intention of migrants in the Yangtze River Delta, China
Millions of Chinese migrants have moved from the countryside to cities to seek job opportunities and a better life. Under the policy shift from “land‐based urbanisation” to “people‐oriented urbanisation,” it is important to understand what determines migrants' settlement intentions. Although previous studies have primarily focused on sociodemographic impacts on settlement intention, the role of city‐level contexts is understudied. Drawing upon da…
Frontiers in Residential Segregation
‘Social frontiers’ – places of sharp difference in social/ethnic characteristics between neighbouring communities – have largely been overlooked in quantitative research. Advancing this nascent field first requires a way of identifying social frontiers in a robust way. Such frontiers may be ‘open’ – an area may contrast sharply with a neighbourhood in one direction, but blend smoothly into adjacent neighbourhoods in other directions. This poses s…
Geography of broadband faults explored with a Bayesian spatio-temporal statistical model
A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province
Urbanization processes at both global and regional scales are taking place at an unprecedent pace, leading to more than half of the global population living in urbanized areas. This process could exert grand challenges on the human living environment. With the proliferation of remote sensing and satellite data being used in social and environmental studies, fine spatial- and temporal-resolution measures of urban expansion and environmental qualit…
Contextualized effects of Park access and usage on residential satisfaction
An investigation of migrants’ residential satisfaction in Beijing
Chinese cities have witnessed enormous neighbourhood changes as a result of housing reforms, rapid urban expansion and massive rural-to-urban migration. Migrants, without local hukou status, are confronted with many constraints in accessing urban housing. While previous studies have focused on migrants’ poor housing conditions, relatively little is known about their self-selection into different neighbourhood types, as well as their subjective ev…
Developing a Locally Adaptive Spatial Multilevel Logistic Model to Analyze Ecological Effects on Health Using Individual Census Records
Geographical variable distributions often exhibit both macroscale geographic smoothness and microscale discontinuities or local step changes. Nonetheless, accounting for both effects in a unified statistical model is challenging, especially when the data under study involve a multiscale structure and non-Gaussian response variables. This study develops a locally adaptive spatial multilevel logistic model to examine binomial response variables tha…
Building Hierarchies of Retail Centers Using Bayesian Multilevel Models
The perceived quality of urban environments is intrinsically tied to the availability of desirable leisure and retail opportunities. In this article, we explore methodological approaches for deriving indicators that estimate the willingness to pay for retail and leisure services offered by retail centers. Most often, because the quality of urban environments cannot be qualified by a natural unit, the willingness to pay for an urban environment is…
The Evolution Characteristics and Influence Mechanism of Chinese Venture Capital Spatial Agglomeration
As an emerging financial entity, venture capital has a significant impact on regional development. However, the research on venture capital mainly focuses on the fields of finance, management, and economics, and fewer researchers study venture capital from the perspective of geography and space. This research explored the evolution characteristics and influence mechanism of Chinese venture capital spatial agglomeration. The innovation of this pap…
Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression
Spatial heterogeneity is important for exploring data relationships between real estate price and its influential factors. The geographically weighted regression (GWR) technique has been frequently adopted for this purpose. In this study, we collected a second-hand real estate house price data set of Wuhan, in which each property is located the same as the community it belongs to. Thus, this data set possesses a typical characteristic, that is, d…
Urban-Rural Disparity in Community Resilience
PM2.5 Concentrations Variability in North China Explored with a Multi-Scale Spatial Random Effect Model
Compiling fine-resolution geospatial PM 2.5 concentrations data is essential for precisely assessing the health risks of PM 2.5 pollution exposure as well as for evaluating environmental policy effectiveness. In most previous studies, global and local spatial heterogeneity of PM 2.5 is captured by the inclusion of multi-scale covariate effects, while the modelling of genuine scale-dependent variabilities pertaining to the spatial random process o…
The Influence of Air Pollution on Happiness and Willingness to Pay for Clean Air in the Bohai Rim Area of China
Air pollution imposes detrimental impacts on residents' health and the general quality of life. Quantifying the influential mechanism of air pollution on residents' happiness and the economic value brought by environmental quality improvement could provide a scientific basis for the construction of livable cities. This study estimated urban residents' willingness to pay for air pollution abatement by modeling the spatial relationship between air …
A Route Map for Successful Applications of Geographically Weighted Regression
Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of social and environmental data. It allows spatial heterogeneities in processes and relationships to be investigated through a series of local regression models rather than a single global one. Standard GWR assumes that relationships between the response and predictor variables operate at the same spatial scale, which is frequently not the case. To address this, se…
Periodicity and Variability in Daily Activity Satisfaction
Understanding how geographical environments influence peoples' subjective experiences of daily activities is of great potential for improving subjective well-being (SWB), a subject that is presently limited by a lack of available data and proper statistical methods. Focusing on Beijing and using a unique data set that linked residents' seven-day mobility trajectories at a fine spatiotemporal resolution to their complete activity participation and…
How mobility-based exposure to green space and environmental pollution influence individuals’ wellbeing? A structural equation analysis through the lens of environmental justice
Accounting for ecosystem service flows in water security assessment
Geography (27 obras) · Economics (15 obras) · Computer Science (13 obras) · Urban Transport and Accessibility (13 obras) · Mathematics (12 obras) · China (10 obras) · Econometrics (10 obras) · Spatial and Panel Data Analysis (10 obras) · Statistics (10 obras) · Beijing (8 obras)