Yongze Song
Dados Biográficos
| ID | 4417068 |
|---|---|
| NOME | Yongze Song |
| PRENOMES | Yongze |
| SOBRENOME | Song |
| ASSINATURA | SONG Y |
| AFILIAÇÕES | Curtin University |
| ORCID | 0000-0003-3420-9622 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 15 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 15 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Spatiotemporal Particle Swarm Optimization for Future Cost Allocation in Large-Scale Transportation Infrastructure Maintenance
Transportation infrastructure is vital for sustaining communities and fostering economic development. Urbanization and climate change have led to the rapid deterioration of road transport systems, posing significant challenges for future sustainability. Current transportation infrastructure maintenance planning often prioritizes immediate needs and short-term deterioration indicators, which can overlook long-term changes and future funding constr…
Focal‐Feature Regression Kriging
Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models‐such as Ordinary Kriging (OK)‐assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables. A common solution is trend surface modeling (e.g., Regression Kriging, RK), which relies on external explanatory variables to model the trend and then applies geosta…
A Comparative Analysis of Machine Learning and Deep Learning for Rooftop Vegetation Identification
Dhaka, one of the world’s most densely populated megacities, has faced a severe ecological decline, with green cover plummeting from 44.80% in 1975 to approximately 24.50% by 2005. In response, urban rooftop farming has emerged as a vital adaptation strategy to mitigate the urban heat island effect and air pollution. Objective: This study evaluates the transition from “pixels to policy” by testing automated identification methods for URF to suppo…
Explainable second-dimension spatial association between park sentiment and built-social environments
Understanding human–environment interactions is crucial for sustainable urban development and well-being. Urban parks are key urban environments affecting residential emotions. However, existing studies with fixed neighborhood ranges and mean-based indicators limit the examination of nonlinear effects across spatial scales and value ranges. This study develops an explainable second dimension of spatial association (ESDA) model to identify spatial…
Causal discovery in urban data with temporal empirical dynamic modeling
Enhanced Downscaling of Urban Land Surface Temperatures Using a Land Cover–Enhanced Nonlinear Model with Landsat-8/9 and Sentinel-2 Imagery
From social innovation to institutional governance
Urban Rooftop Farming (URF) is a growing grassroots movement in Dhaka, but its institutional oversight is fragmented and uncoordinated. • TThis study on URF analysed 187 YouTube videos to understand farmers' perspectives and diverse goals on improving governance. • Despite various challenges, many rely on informal networks and digital resources (e.g., YouTube) to acquire gardening knowledge. • Farmers from mixed land-use neighbourhoods show stron…
Global variations of urban form
A globally applicable modular urban form modeling framework is proposed to provide a refined and comprehensive perspective for characterizing urban form variation. • The Modular Urban Local Form (MULF) comprises 21 distinct categories—three natural types and eighteen artificial types—that are identified through systematic analysis. • The Modular Urban Form Prototype (MUFP) offers a valuable approach for understanding the variation of urban spatia…
Irregular anisotropy in surface urban heat island footprint
Footprint and intensity are key indicators for quantitatively analyzing the characteristics of the SUHI effect. Currently, methods based on angle-segmentation and anisotropy have been developed to estimate footprints, but are still greatly challenged by spatial heterogeneity, especially for directional difference. Therefore, this study develops an adaptive irregular anisotropy (AIA) model to explore the irregular anisotropy in the SUHI effect. Th…
Climate change, social environment, health, and urban inequality
Multi-scenario urban growth boundaries and trade-offs among land use functions
Unraveling nonlinear and spatial non-stationary effects of urban form on surface urban heat islands using explainable spatial machine learning
Observed inequality in urban greenspace exposure in China
Given the important role of green environments playing in healthy cities, the inequality in urban greenspace exposure has aroused growing attentions. However, few comparative studies are available to quantify this phenomenon for cities with different population sizes across a country, especially for those in the developing world. Besides, commonly used inequality measures are always hindered by the conceptual simplification without accounting for…
Cost and environmental impact estimation methodology and potential impact factors in offshore oil and gas platform decommissioning
An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis
Spatial heterogeneity represents a general characteristic of the inequitable distributions of spatial issues. The spatial stratified heterogeneity analysis investigates the heterogeneity among various strata of explanatory variables by comparing the spatial variance within strata and that between strata. The geographical detector model is a widely used technique for spatial stratified heterogeneity analysis. In the model, the spatial data discret…
An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis
Spatial heterogeneity represents a general characteristic of the inequitable distributions of spatial issues. The spatial stratified heterogeneity analysis investigates the heterogeneity among various strata of explanatory variables by comparing the spatial variance within strata and that between strata. The geographical detector model is a widely used technique for spatial stratified heterogeneity analysis. In the model, the spatial data discret…
Observed inequality in urban greenspace exposure in China
Given the important role of green environments playing in healthy cities, the inequality in urban greenspace exposure has aroused growing attentions. However, few comparative studies are available to quantify this phenomenon for cities with different population sizes across a country, especially for those in the developing world. Besides, commonly used inequality measures are always hindered by the conceptual simplification without accounting for…
Cost and environmental impact estimation methodology and potential impact factors in offshore oil and gas platform decommissioning
Unraveling nonlinear and spatial non-stationary effects of urban form on surface urban heat islands using explainable spatial machine learning
From social innovation to institutional governance
Urban Rooftop Farming (URF) is a growing grassroots movement in Dhaka, but its institutional oversight is fragmented and uncoordinated. • TThis study on URF analysed 187 YouTube videos to understand farmers' perspectives and diverse goals on improving governance. • Despite various challenges, many rely on informal networks and digital resources (e.g., YouTube) to acquire gardening knowledge. • Farmers from mixed land-use neighbourhoods show stron…
Global variations of urban form
A globally applicable modular urban form modeling framework is proposed to provide a refined and comprehensive perspective for characterizing urban form variation. • The Modular Urban Local Form (MULF) comprises 21 distinct categories—three natural types and eighteen artificial types—that are identified through systematic analysis. • The Modular Urban Form Prototype (MUFP) offers a valuable approach for understanding the variation of urban spatia…
Irregular anisotropy in surface urban heat island footprint
Footprint and intensity are key indicators for quantitatively analyzing the characteristics of the SUHI effect. Currently, methods based on angle-segmentation and anisotropy have been developed to estimate footprints, but are still greatly challenged by spatial heterogeneity, especially for directional difference. Therefore, this study develops an adaptive irregular anisotropy (AIA) model to explore the irregular anisotropy in the SUHI effect. Th…
Climate change, social environment, health, and urban inequality
Multi-scenario urban growth boundaries and trade-offs among land use functions
Spatiotemporal Particle Swarm Optimization for Future Cost Allocation in Large-Scale Transportation Infrastructure Maintenance
Transportation infrastructure is vital for sustaining communities and fostering economic development. Urbanization and climate change have led to the rapid deterioration of road transport systems, posing significant challenges for future sustainability. Current transportation infrastructure maintenance planning often prioritizes immediate needs and short-term deterioration indicators, which can overlook long-term changes and future funding constr…
Focal‐Feature Regression Kriging
Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models‐such as Ordinary Kriging (OK)‐assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables. A common solution is trend surface modeling (e.g., Regression Kriging, RK), which relies on external explanatory variables to model the trend and then applies geosta…
A Comparative Analysis of Machine Learning and Deep Learning for Rooftop Vegetation Identification
Dhaka, one of the world’s most densely populated megacities, has faced a severe ecological decline, with green cover plummeting from 44.80% in 1975 to approximately 24.50% by 2005. In response, urban rooftop farming has emerged as a vital adaptation strategy to mitigate the urban heat island effect and air pollution. Objective: This study evaluates the transition from “pixels to policy” by testing automated identification methods for URF to suppo…
Explainable second-dimension spatial association between park sentiment and built-social environments
Understanding human–environment interactions is crucial for sustainable urban development and well-being. Urban parks are key urban environments affecting residential emotions. However, existing studies with fixed neighborhood ranges and mean-based indicators limit the examination of nonlinear effects across spatial scales and value ranges. This study develops an explainable second dimension of spatial association (ESDA) model to identify spatial…
Causal discovery in urban data with temporal empirical dynamic modeling
Enhanced Downscaling of Urban Land Surface Temperatures Using a Land Cover–Enhanced Nonlinear Model with Landsat-8/9 and Sentinel-2 Imagery
Geography (8 obras) · Land Use and Ecosystem Services (8 obras) · Urban Heat Island Mitigation (6 obras) · Mathematics (4 obras) · Urban heat island (4 obras) · Business (3 obras) · Economics (3 obras) · Environmental Science (3 obras) · Remote Sensing and Land Use (3 obras) · Urban Green Space and Health (3 obras)