Qian Chayn Sun
Biographic Data
| ID | 6273140 |
|---|---|
| NAME | Qian Chayn Sun |
| GIVEN NAMES | Qian Chayn |
| FAMILY NAME | Sun |
| SIGNATURE | SUN Q C |
| AFFILIATIONS | RMIT University |
| ORCID | 0000-0002-5421-5838 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 20 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Fine-Scale and Population-Weighted PM2.5 Modeling in Melbourne
Despite concern over air pollution, fine-scale spatial and demographic disparities in exposure remain largely unquantified in Australian cities due to sparse monitoring and coarse models. In Greater Melbourne, this gap limits neighbourhood-level assessment of PM2.5 exposure and associated environmental inequalities. To address this gap, we integrated 6-month averaged PM2.5 observations (October 2023 to March 2024) from 5 regulatory monitoring sta…
Semantic data enrichment for maintenance of foundation spatial data
The growing variety and volume of spatial data streams includes a large amount of remotely sensed imagery and machine-learning outputs. This increase in both variety and volume of captured spatial data poses growing challenges for the maintenance of critical spatial data sets, such as hydrology, transport, land cover, and so on. In this paper we propose and explore a semantic data enrichment approach founded on ontologies and knowledge graphs to …
Defining ‘adequate’ tree protection
Automated property parcel classification using very high-resolution land cover imagery and multi-modal deep learning
This study addresses the challenges of monitoring urban development where sprawl, infill and soft densification are prevalent. To accurately identify the spatial distribution and characteristics of different development types, a multi-modal deep learning model was developed to predict parcel-level development types using very high-resolution land cover maps and tabular data representing parcel attributes of surface cover, built form and dwelling …
Reducing the social inequity of neighborhood visual environment in Los Angeles through computer vision and multi-model machine learning
Australian nationwide assessment of social vulnerability in two decades through its linkage to the built environment
Evaluating social vulnerability and identifying at-risk populations are foundational to hazard risk mitigation and sustainable human settlement, yet these tasks entail distinct challenges that vary across urban-rural contexts and temporal scales. Despite Australia's escalating exposure to natural disasters, longitudinal, nationwide metrics of social vulnerability remain absent, with prior research constrained to localized or temporally fragmented…
Longitudinal associations between leisure activities and subjective happiness among middle-aged and older adults people in China
Background Leisure activities serve as key measures to enhance the subjective happiness of middle-aged and older adults individuals and to positively address the challenges of an aging society; however, the trajectory of changes in their participation in leisure activities and how these changes relate to shifts in subjective happiness have not been adequately explored. Methods This study selected data from the China Health and Aging Longitudinal …
Does increased temperature affect residential mobility? A 20-year nationwide evidence in Australia
People adapt to changes in livelihoods and risks caused by summer high temperature in the era of global warming, which may also lead to residential mobility at the individual level and migration flow at the aggregate level. However, little evidence is available to show the long-term localized impact of summer temperature on residential mobility. Our study aims to conduct a 20-year nationwide investigation of the heat-mobility relationship in Aust…
Gis
Following two successful editions, the third edition of GIS: A Computing Perspective has been completely revised and updated, with extensive new content reflecting the significant progress that has been made in the realm of GIS within the last 20 years. Major new topics covered for the first time in this edition include: graph databases and graph query languages, ontology engineering and qualitative spatial reasoning, geosensor networks and GeoAI…
A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data
Unlike car navigation, where almost all vehicles can traverse every route, one route might not be optimal or even suitable for all pedestrians. Route geometry information, including tortuosity, twists and turns along roads, junctions, and road slopes, among others, matters a great deal for specific types of pedestrians, particularly those with limited mobility, such as wheelchair users and older adults. Offering practical routing services to thes…
Landscape of multiculturalism in Australia
Embracing multiculturalism has become an important initiative for enhancing cultural identity, social cohesion, and harmony in many migrant-receiving countries. While a large body of literature has examined ethnic diversity in relation to migration, less attention has been given to tracking changes in ethnic diversity over time and from a spatial perspective. Our study aims to contribute to this gap by examining nationwide ethnic diversity in Aus…
Supporting virtual power plants decision-making in complex urban environments using reinforcement learning
Virtual Power Plants (VPPs) are becoming popular for managing energy supply in urban environments with Distributed Energy Resources (DERs). However, decision-making for VPPs in such complex environments is challenging due to multiple uncertainties and complexities. This paper proposes an approach that optimizes decision-making for VPPs using Reinforcement Learning (RL) in urban environments with diverse supply-demand profiles and DERs. The approa…
Cartography and Geovisualization
Investigating college youth travellers’ food choices using latent class modelling
This study examines college youth travellers’ food choices using a market segmentation-based latent class modelling approach. A D-efficient stated-preference experiment was conducted in four Chinese cities, identifying two tourist market segments with different preferences. Key factors influencing food choices include cost, taste, waiting time, service responsiveness and noise levels. Elasticities, first differences and willingness-to-pay values …
Private-led land assembly and urban consolidation
From the time a city is first subdivided, its structure of lots act as a precursor to all future redevelopment, forming the spatial bounds of land ownership that force buildings to develop and evolve in their place. It is therefore critical for planning systems that intend to contain urban sprawl to encourage the lot superstructure to adapt to the emerging needs of a city. This study assesses the role that existing regulatory planning mechanisms …
Tracking the settlement patterns of culturally and linguistically diverse (Cald) populations in Australia
Tracking the settlement of culturally and linguistically diverse (CALD) populations serves as the foundation for population projection, urban planning, and policy making to achieve social justice, equity, and multicultural harmony. Drawing on census data in 2001, 2006, 2011, 2016 and 2021, our study contributes an Australian nationwide time-series study of the settlement of CALD populations at a fine neighbourhood level, enabling long-term tracki…
Health-integrated heat risk assessment in Australian cities
Urban-regional disparities in mental health signals in Australia during the Covid-19 pandemic
This study establishes a novel empirical framework using machine learning techniques to measure the urban-regional disparity of the public’s mental health signals in Australia during the pandemic, and to examine the interrelationships amongst mental health, demographic and socioeconomic profiles of neighbourhoods, health risks and healthcare access. Our results show that the public’s mental health signals in capital cities were better than those …
Virtual power plants for a sustainable urban future
Multiple-view strategies for enhanced understanding of dynamic tourist activity through geovisualization at regional and national scales
This article is part of research exploring various ways to visualize the complexity of sentient movement in space and time. In this case, visualization focuses on the movement of tourists on the West Coast of the South Island of New Zealand, with some commentary on national tourist activity. Working at the atomistic level of the individual we adopt space, time, and activity (s,t,a) as the three main dimensions of sentient movement, but we emphasi…
Health-integrated heat risk assessment in Australian cities
Private-led land assembly and urban consolidation
From the time a city is first subdivided, its structure of lots act as a precursor to all future redevelopment, forming the spatial bounds of land ownership that force buildings to develop and evolve in their place. It is therefore critical for planning systems that intend to contain urban sprawl to encourage the lot superstructure to adapt to the emerging needs of a city. This study assesses the role that existing regulatory planning mechanisms …
Australian nationwide assessment of social vulnerability in two decades through its linkage to the built environment
Evaluating social vulnerability and identifying at-risk populations are foundational to hazard risk mitigation and sustainable human settlement, yet these tasks entail distinct challenges that vary across urban-rural contexts and temporal scales. Despite Australia's escalating exposure to natural disasters, longitudinal, nationwide metrics of social vulnerability remain absent, with prior research constrained to localized or temporally fragmented…
Urban-regional disparities in mental health signals in Australia during the Covid-19 pandemic
This study establishes a novel empirical framework using machine learning techniques to measure the urban-regional disparity of the public’s mental health signals in Australia during the pandemic, and to examine the interrelationships amongst mental health, demographic and socioeconomic profiles of neighbourhoods, health risks and healthcare access. Our results show that the public’s mental health signals in capital cities were better than those …
Multiple-view strategies for enhanced understanding of dynamic tourist activity through geovisualization at regional and national scales
This article is part of research exploring various ways to visualize the complexity of sentient movement in space and time. In this case, visualization focuses on the movement of tourists on the West Coast of the South Island of New Zealand, with some commentary on national tourist activity. Working at the atomistic level of the individual we adopt space, time, and activity (s,t,a) as the three main dimensions of sentient movement, but we emphasi…
Virtual power plants for a sustainable urban future
Urban-regional disparities in mental health signals in Australia during the Covid-19 pandemic
This study establishes a novel empirical framework using machine learning techniques to measure the urban-regional disparity of the public’s mental health signals in Australia during the pandemic, and to examine the interrelationships amongst mental health, demographic and socioeconomic profiles of neighbourhoods, health risks and healthcare access. Our results show that the public’s mental health signals in capital cities were better than those …
Gis
Following two successful editions, the third edition of GIS: A Computing Perspective has been completely revised and updated, with extensive new content reflecting the significant progress that has been made in the realm of GIS within the last 20 years. Major new topics covered for the first time in this edition include: graph databases and graph query languages, ontology engineering and qualitative spatial reasoning, geosensor networks and GeoAI…
A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data
Unlike car navigation, where almost all vehicles can traverse every route, one route might not be optimal or even suitable for all pedestrians. Route geometry information, including tortuosity, twists and turns along roads, junctions, and road slopes, among others, matters a great deal for specific types of pedestrians, particularly those with limited mobility, such as wheelchair users and older adults. Offering practical routing services to thes…
Landscape of multiculturalism in Australia
Embracing multiculturalism has become an important initiative for enhancing cultural identity, social cohesion, and harmony in many migrant-receiving countries. While a large body of literature has examined ethnic diversity in relation to migration, less attention has been given to tracking changes in ethnic diversity over time and from a spatial perspective. Our study aims to contribute to this gap by examining nationwide ethnic diversity in Aus…
Supporting virtual power plants decision-making in complex urban environments using reinforcement learning
Virtual Power Plants (VPPs) are becoming popular for managing energy supply in urban environments with Distributed Energy Resources (DERs). However, decision-making for VPPs in such complex environments is challenging due to multiple uncertainties and complexities. This paper proposes an approach that optimizes decision-making for VPPs using Reinforcement Learning (RL) in urban environments with diverse supply-demand profiles and DERs. The approa…
Cartography and Geovisualization
Investigating college youth travellers’ food choices using latent class modelling
This study examines college youth travellers’ food choices using a market segmentation-based latent class modelling approach. A D-efficient stated-preference experiment was conducted in four Chinese cities, identifying two tourist market segments with different preferences. Key factors influencing food choices include cost, taste, waiting time, service responsiveness and noise levels. Elasticities, first differences and willingness-to-pay values …
Private-led land assembly and urban consolidation
From the time a city is first subdivided, its structure of lots act as a precursor to all future redevelopment, forming the spatial bounds of land ownership that force buildings to develop and evolve in their place. It is therefore critical for planning systems that intend to contain urban sprawl to encourage the lot superstructure to adapt to the emerging needs of a city. This study assesses the role that existing regulatory planning mechanisms …
Tracking the settlement patterns of culturally and linguistically diverse (Cald) populations in Australia
Tracking the settlement of culturally and linguistically diverse (CALD) populations serves as the foundation for population projection, urban planning, and policy making to achieve social justice, equity, and multicultural harmony. Drawing on census data in 2001, 2006, 2011, 2016 and 2021, our study contributes an Australian nationwide time-series study of the settlement of CALD populations at a fine neighbourhood level, enabling long-term tracki…
Health-integrated heat risk assessment in Australian cities
Longitudinal associations between leisure activities and subjective happiness among middle-aged and older adults people in China
Background Leisure activities serve as key measures to enhance the subjective happiness of middle-aged and older adults individuals and to positively address the challenges of an aging society; however, the trajectory of changes in their participation in leisure activities and how these changes relate to shifts in subjective happiness have not been adequately explored. Methods This study selected data from the China Health and Aging Longitudinal …
Does increased temperature affect residential mobility? A 20-year nationwide evidence in Australia
People adapt to changes in livelihoods and risks caused by summer high temperature in the era of global warming, which may also lead to residential mobility at the individual level and migration flow at the aggregate level. However, little evidence is available to show the long-term localized impact of summer temperature on residential mobility. Our study aims to conduct a 20-year nationwide investigation of the heat-mobility relationship in Aust…
Defining ‘adequate’ tree protection
Automated property parcel classification using very high-resolution land cover imagery and multi-modal deep learning
This study addresses the challenges of monitoring urban development where sprawl, infill and soft densification are prevalent. To accurately identify the spatial distribution and characteristics of different development types, a multi-modal deep learning model was developed to predict parcel-level development types using very high-resolution land cover maps and tabular data representing parcel attributes of surface cover, built form and dwelling …
Reducing the social inequity of neighborhood visual environment in Los Angeles through computer vision and multi-model machine learning
Australian nationwide assessment of social vulnerability in two decades through its linkage to the built environment
Evaluating social vulnerability and identifying at-risk populations are foundational to hazard risk mitigation and sustainable human settlement, yet these tasks entail distinct challenges that vary across urban-rural contexts and temporal scales. Despite Australia's escalating exposure to natural disasters, longitudinal, nationwide metrics of social vulnerability remain absent, with prior research constrained to localized or temporally fragmented…
Fine-Scale and Population-Weighted PM2.5 Modeling in Melbourne
Despite concern over air pollution, fine-scale spatial and demographic disparities in exposure remain largely unquantified in Australian cities due to sparse monitoring and coarse models. In Greater Melbourne, this gap limits neighbourhood-level assessment of PM2.5 exposure and associated environmental inequalities. To address this gap, we integrated 6-month averaged PM2.5 observations (October 2023 to March 2024) from 5 regulatory monitoring sta…
Semantic data enrichment for maintenance of foundation spatial data
The growing variety and volume of spatial data streams includes a large amount of remotely sensed imagery and machine-learning outputs. This increase in both variety and volume of captured spatial data poses growing challenges for the maintenance of critical spatial data sets, such as hydrology, transport, land cover, and so on. In this paper we propose and explore a semantic data enrichment approach founded on ontologies and knowledge graphs to …
Geography (12 works) · Computer Science (8 works) · Business (6 works) · Medicine (6 works) · Psychology (5 works) · Economic growth (4 works) · Engineering (4 works) · Geographic Information Systems Studies (4 works) · Health disparities and outcomes (4 works) · Artificial Intelligence (3 works)