Pengyuan Liu
Datos Biográficos
| ID | 4416889 |
|---|---|
| NOMBRE | Pengyuan Liu |
| NOMBRES | Pengyuan |
| APELLIDO | Liu |
| FIRMA | LIU P |
| AFILIACIONES | Urbana University |
| ORCID | 0000-0002-5443-5910 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 19 |
| TOTAL DE CITAS | 8 |
| TOTAL COMO AUTOR | 19 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2003 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
From physical surfaces to human-centric heat stress
Heat exposure connects the built environment and public health, directly shaping the livability and sustainability of urban areas. Fully understanding the spatial heterogeneity of heat exposure and its driving factors is therefore a vital prerequisite for climate-adaptive urban planning. However, most planning-oriented studies rely on land surface temperature (LST), and whether LST adequately represents human heat exposure and how it differs from…
A Graph-Based Human-Centered GeoAI for Understanding Street-Level Environment and Traffic Accident Frequency with Street View Imagery
Traffic accidents are a major global concern, highlighting the need for advanced traffic analysis and predictive techniques. The emergence of crowdsourced street view imagery (SVI) platforms has transformed public participation in collecting urban data, initiating the development of human-centered traffic analytics. This article investigates the relationship between visual urban understanding derived from Mapillary SVI and the frequency of urban …
Modeling adolescents’ perception of cycling safety
City function matters
Living upon networks
Cities are supported by multiple, interacting networks, most prominently streets, which channel movement and economic exchange, and, in many contexts, waterways, which regulate flows of goods, people, and environmental amenities. Conventional quantitative studies of urban form have tended to privilege streets alone, limiting their ability to capture the full spatial logic of the urban fabric. This paper introduces a Heterogeneous Graph Autoen-cod…
Sensing climate justice
Developing the urban comfort index
Drivers of day–night intra-surface urban heat island variations under local extreme heat
Multidimensional analysis of human outdoor comfort
Predicting building characteristics at urban scale using graph neural networks and street-level context
How does spatial structure affect psychological restoration? A method based on graph neural networks and street view imagery
Explainable spatially explicit geospatial artificial intelligence in urban analytics
Geospatial artificial intelligence (GeoAI) is proliferating in urban analytics, where graph neural networks (GNNs) have become one of the most popular methods in recent years. However, along with the success of GNNs, the black box nature of AI models has led to various concerns (e.g. algorithmic bias and model misuse) regarding their adoption in urban analytics, particularly when studying socio-economics where high transparency is a crucial compo…
A perception-powered urban digital twin to support human-centered urban planning and sustainable city development
Towards Human-centric Digital Twins
Association measures for collocation extraction
In this study, we propose a new evaluation scheme to assess the strengths and limitations of collocation extraction measures and explore type-sensitive methods for extracting collocations. We introduced the pooling strategy widely used in Information Retrieval and automated the evaluation process using online dictionaries. Sixteen well-known metrics are evaluated based on their effectiveness and then distributional and linguistic compared. The re…
Coupling a Physical Replica with a Digital Twin
Public participation is crucial in promoting built environment quality. By using Nancuiping park in China as a case study, this research brings attention to the digital twin park compared to the physical replica in a participatory workshop. Using UAV oblique photography, we created a digital twin model of this park and divided it into six layers to better manage and analyze the environment. Bracing the ‘bottom-up’ design philosophy, in the worksh…
Occupational gender segregation and gendered language in a language without gender
This paper proposes a textual analytics approach to the discovery of trends and variations in social development. Specifically, we have designed a linguistic index that measures the marked usage of gendered modifiers in the Chinese language; this predicts the degree of occupational gender segregation by identifying the unbalanced distribution of males and females across occupations. The effectiveness of the linguistic index in modelling occupatio…
A graph-based semi-supervised approach to classification learning in digital geographies
Evidence for a major gene underlying bone size variation in the Chinese
Osteoporosis is a major public health problem defined as a loss of bone strength, of which bone size is an important determinant. In the present study, familial correlation and segregation analyses for the spine and hip bone sizes were performed for the first time in a Chinese sample composed of 393 nuclear families with a total of 1,193 individuals. The results indicate a major gene of codominant inheritance for spine bone size; however, there i…
Evidence for a major gene underlying bone size variation in the Chinese
Osteoporosis is a major public health problem defined as a loss of bone strength, of which bone size is an important determinant. In the present study, familial correlation and segregation analyses for the spine and hip bone sizes were performed for the first time in a Chinese sample composed of 393 nuclear families with a total of 1,193 individuals. The results indicate a major gene of codominant inheritance for spine bone size; however, there i…
Occupational gender segregation and gendered language in a language without gender
This paper proposes a textual analytics approach to the discovery of trends and variations in social development. Specifically, we have designed a linguistic index that measures the marked usage of gendered modifiers in the Chinese language; this predicts the degree of occupational gender segregation by identifying the unbalanced distribution of males and females across occupations. The effectiveness of the linguistic index in modelling occupatio…
A graph-based semi-supervised approach to classification learning in digital geographies
Coupling a Physical Replica with a Digital Twin
Public participation is crucial in promoting built environment quality. By using Nancuiping park in China as a case study, this research brings attention to the digital twin park compared to the physical replica in a participatory workshop. Using UAV oblique photography, we created a digital twin model of this park and divided it into six layers to better manage and analyze the environment. Bracing the ‘bottom-up’ design philosophy, in the worksh…
Towards Human-centric Digital Twins
Association measures for collocation extraction
In this study, we propose a new evaluation scheme to assess the strengths and limitations of collocation extraction measures and explore type-sensitive methods for extracting collocations. We introduced the pooling strategy widely used in Information Retrieval and automated the evaluation process using online dictionaries. Sixteen well-known metrics are evaluated based on their effectiveness and then distributional and linguistic compared. The re…
Predicting building characteristics at urban scale using graph neural networks and street-level context
How does spatial structure affect psychological restoration? A method based on graph neural networks and street view imagery
Explainable spatially explicit geospatial artificial intelligence in urban analytics
Geospatial artificial intelligence (GeoAI) is proliferating in urban analytics, where graph neural networks (GNNs) have become one of the most popular methods in recent years. However, along with the success of GNNs, the black box nature of AI models has led to various concerns (e.g. algorithmic bias and model misuse) regarding their adoption in urban analytics, particularly when studying socio-economics where high transparency is a crucial compo…
A perception-powered urban digital twin to support human-centered urban planning and sustainable city development
Sensing climate justice
Developing the urban comfort index
Drivers of day–night intra-surface urban heat island variations under local extreme heat
Multidimensional analysis of human outdoor comfort
From physical surfaces to human-centric heat stress
Heat exposure connects the built environment and public health, directly shaping the livability and sustainability of urban areas. Fully understanding the spatial heterogeneity of heat exposure and its driving factors is therefore a vital prerequisite for climate-adaptive urban planning. However, most planning-oriented studies rely on land surface temperature (LST), and whether LST adequately represents human heat exposure and how it differs from…
A Graph-Based Human-Centered GeoAI for Understanding Street-Level Environment and Traffic Accident Frequency with Street View Imagery
Traffic accidents are a major global concern, highlighting the need for advanced traffic analysis and predictive techniques. The emergence of crowdsourced street view imagery (SVI) platforms has transformed public participation in collecting urban data, initiating the development of human-centered traffic analytics. This article investigates the relationship between visual urban understanding derived from Mapillary SVI and the frequency of urban …
Modeling adolescents’ perception of cycling safety
City function matters
Living upon networks
Cities are supported by multiple, interacting networks, most prominently streets, which channel movement and economic exchange, and, in many contexts, waterways, which regulate flows of goods, people, and environmental amenities. Conventional quantitative studies of urban form have tended to privilege streets alone, limiting their ability to capture the full spatial logic of the urban fabric. This paper introduces a Heterogeneous Graph Autoen-cod…
Computer Science (11 obras) · Artificial Intelligence (9 obras) · Geography (7 obras) · Graph (7 obras) · Theoretical Computer Science (6 obras) · Urban Heat Island Mitigation (5 obras) · Artificial neural network (4 obras) · Data science (4 obras) · Engineering (4 obras) · Land Use and Ecosystem Services (4 obras)