Yuhao Kang
Dados Biográficos
| ID | 3584358 |
|---|---|
| NOME | Yuhao Kang |
| PRENOMES | Yuhao |
| SOBRENOME | Kang |
| ASSINATURA | KANG Y |
| AFILIAÇÕES | University of Wisconsin–Madison |
| ORCID | 0000-0003-3810-9450 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 31 |
| TOTAL DE CITAÇÕES | 36 |
| TOTAL COMO AUTOR | 31 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2018 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 4 |
Envisioning generative artificial intelligence in cartography
Generative artificial intelligence (GenAI), including large language models, diffusion-based image generation models and GenAI agents, has opened up new possibilities for advancing cartography, spanning both mapmaking and map use. With its exceptional ability to encode extensive knowledge, adapt across contexts, create diverse artistic styles and integrate multimodal information, GenAI holds great potential to enhance cartographic design decision…
How multi-sensory experience shapes place-based human sentiments
Measuring maternal healthcare accessibility in Florida by a data-driven extension of V2SFCA
What Makes a Place Safe? Assessing AI-Generated Safety Perception Scores Using Stockholm’s Street View Images
This article investigates what causes an urban environment to be perceived as safe using Stockholm, the capital of Sweden, as the study area. The study integrates AI-generated safety scores from street view images, image segmentation techniques and conventional and crowdsourced data using Geographical Information Systems (GIS) and regression models. After accounting for income, crime and other area characteristics, the models reveal that areas wi…
Decoding human safety perception with eye-tracking systems, street view images, and explainable AI
Human‐Centered Geospatial Data Science
This entry provides an overview of human‐centered geospatial data science, highlighting the gaps it aims to bridge, its significance, and its key topics and research. Geospatial data science, which derives geographic knowledge and insights from large volumes of geospatial big data using advanced geospatial artificial intelligence, has been widely used to tackle a wide range of geographic problems. However, it often overlooks the subjective human …
Where are GIScience faculty hired from? Analyzing faculty mobility and research themes through hiring networks
Academia is profoundly influenced by faculty hiring networks, which serve as critical conduits for knowledge dissemination and the formation of collaborative research initiatives. While extensive research in various disciplines has revealed the institutional hierarchies inherent in these networks, their impacts within GIScience remain underexplored. To fill this gap, this study analyzes the placement patterns of 946 GIScience faculty worldwide by…
Transferred Bias Uncovers the Balance Between the Development of Physical and Socioeconomic Environments of Cities
Evaluating the balance between a city’s physical and socioeconomic environmental development is crucial for creating sustainable and livable urban spaces. Although they might appear contradictory, they jointly support the comprehensive sustainable urban development strategy. Traditional methods usually focus on assessing this balance from a specific perspective, such as how neighborhood greenery shapes real estate value. Yet, they fail to deliver…
Urban visual uniqueness
Crime-associated inequality in geographical access to education
Do You Know Your Neighborhood? Integrating Street View Images and Multi-task Learning for Fine-Grained Multi-Class Neighborhood Wealthiness Perception Prediction
Crime and Visually Perceived Safety of the Built Environment
Place identity
Do cities have a collective identity? The latest advancements in generative artificial intelligence (AI) models have enabled the creation of realistic representations learned from vast amounts of data. In this study, we test the potential of generative AI as the source of textual and visual information in capturing the place identity of cities assessed by filtered descriptions and images. We asked questions on the place identity of 64 global citi…
From hearing to seeing
People experience the world through multiple senses simultaneously, contributing to our sense of place. Prior quantitative geography studies have mostly emphasized human visual perceptions , neglecting human auditory perceptions at place due to the challenges in characterizing the acoustic environment vividly. Also, few studies have synthesized the two-dimensional (auditory and visual) perceptions in understanding human sense of place. To bridge …
Artificial intelligence studies in cartography
The past decade has witnessed the rapid development of geospatial artificial intelligence (GeoAI) primarily due to the ground-breaking achievements in deep learning and machine learning. A growing number of scholars from cartography have demonstrated successfully that GeoAI can accelerate previously complex cartographic design tasks and even enable cartographic creativity in new ways. Despite the promise of GeoAI, researchers and practitioners ha…
Understanding urban perception with visual data
A Study on the Settlement of Türk Surrender Tribes in the Fourth Year of Emperor Taizong’s Zhenguan Reign—Taking the Northern Part of Hedong Dao as an Example
In the fourth year of the Zhenguan reign, the Eastern Türk Khaganate was conquered and a large number of Türk tribes surrendered. Emperor Taizong of Tang adopted the strategy of “Preserving their tribes, following their local customs” and established Jimi Prefecture in the northern agricultural and pastoral transitional zone to settle them, and a large part of them were settled in the northern part of Hedong Dao. These settlements in the Fan trib…
Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden
Influential factors of intercity patient mobility and its network structure in China
Intercity patient mobility reflects the geographic mismatch between healthcare resources and the population, and has rarely been studied with big data at large spatial scales. In this paper, we investigated the patterns of intercity patient mobility and factors influencing this behavior based on >4 million hospitalization records of patients with chronic kidney disease in China. To provide practical policy recommendations, a role identification f…
Places for play
The financial impact of street-level greenery on New York commercial buildings
“Perception bias”
Urban infrastructure audit
Auditing and mapping traffic infrastructure is a crucial task in urban management. For example, signalized intersections play an essential role in transportation management; however, effectively identifying these intersections remains unsolved. Traditionally, signalized intersection data are manually collected through field audits or checking street view images (SVIs), which is time-consuming and labor-intensive. This study proposes an effective …
The impacts of the built environment on bicycle-metro transfer trips
Human settlement value assessment from a place perspective
Influential factors of intercity patient mobility and its network structure in China
Intercity patient mobility reflects the geographic mismatch between healthcare resources and the population, and has rarely been studied with big data at large spatial scales. In this paper, we investigated the patterns of intercity patient mobility and factors influencing this behavior based on >4 million hospitalization records of patients with chronic kidney disease in China. To provide practical policy recommendations, a role identification f…
Human settlement value assessment from a place perspective
Urban infrastructure audit
Auditing and mapping traffic infrastructure is a crucial task in urban management. For example, signalized intersections play an essential role in transportation management; however, effectively identifying these intersections remains unsolved. Traditionally, signalized intersection data are manually collected through field audits or checking street view images (SVIs), which is time-consuming and labor-intensive. This study proposes an effective …
Multi‐analytical Studies of Archaeological Chinese Earthen Plasters
The Yuzhen Palace is one of the nine palaces in the Ancient Building Complex built by order of the Yongle Emperor during the Ming dynasty. The buildings were built with dressed black bricks. As a result of the planned national South–North Water Diversion project, the water level in the Danjiangkou Reservoir that surrounds the Yuzhen Palace was expected to rise by approximately 15 m. To avoid submersion of the site, three gates were elevated by 15…
Transferred Bias Uncovers the Balance Between the Development of Physical and Socioeconomic Environments of Cities
Evaluating the balance between a city’s physical and socioeconomic environmental development is crucial for creating sustainable and livable urban spaces. Although they might appear contradictory, they jointly support the comprehensive sustainable urban development strategy. Traditional methods usually focus on assessing this balance from a specific perspective, such as how neighborhood greenery shapes real estate value. Yet, they fail to deliver…
The impacts of the built environment on bicycle-metro transfer trips
Understanding neighborhood isolation through spatial interaction network analysis using location big data
Hidden biases of racial and socioeconomic preferences shape residential neighborhoods throughout the USA. Thereby, these preferences shape neighborhoods composed predominantly of a particular race or income class. However, the assessment of spatial extent and the degree of isolation outside the residential neighborhoods at large scale is challenging, which requires further investigation to understand and identify the magnitude and underlying geos…
Uncovering patterns of ties among regions within metropolitan areas using data from mobile phones and online mass media
What Makes a Place Safe? Assessing AI-Generated Safety Perception Scores Using Stockholm’s Street View Images
This article investigates what causes an urban environment to be perceived as safe using Stockholm, the capital of Sweden, as the study area. The study integrates AI-generated safety scores from street view images, image segmentation techniques and conventional and crowdsourced data using Geographical Information Systems (GIS) and regression models. After accounting for income, crime and other area characteristics, the models reveal that areas wi…
Urban visual uniqueness
Crime and Visually Perceived Safety of the Built Environment
Uncovering patterns of ties among regions within metropolitan areas using data from mobile phones and online mass media
Multi‐analytical Studies of Archaeological Chinese Earthen Plasters
The Yuzhen Palace is one of the nine palaces in the Ancient Building Complex built by order of the Yongle Emperor during the Ming dynasty. The buildings were built with dressed black bricks. As a result of the planned national South–North Water Diversion project, the water level in the Danjiangkou Reservoir that surrounds the Yuzhen Palace was expected to rise by approximately 15 m. To avoid submersion of the site, three gates were elevated by 15…
A review of urban physical environment sensing using street view imagery in public health studies
Urban physical environments are the physical settings and built environments in neighbourhoods and cities which provide places for human activities. Evidence suggests that there are substantial associations between urban physical environments and various health outcomes, e.g. people’s physical activities might be influenced by surrounding physical environments, thereby affecting their health behaviours; more exposure to urban physical environment…
Multiscale dynamic human mobility flow dataset in the U.S. during the Covid-19 epidemic
Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during the COVID-19 pandemic. In this data descriptor, we introduce a regularly-updated multiscale dynamic human mobility flow dataset across the United States, with data starting from March 1st, 2020. By analysing millions of anonymous m…
Uncovering inconspicuous places using social media check-ins and street view images
Understanding neighborhood isolation through spatial interaction network analysis using location big data
Hidden biases of racial and socioeconomic preferences shape residential neighborhoods throughout the USA. Thereby, these preferences shape neighborhoods composed predominantly of a particular race or income class. However, the assessment of spatial extent and the degree of isolation outside the residential neighborhoods at large scale is challenging, which requires further investigation to understand and identify the magnitude and underlying geos…
Places for play
The financial impact of street-level greenery on New York commercial buildings
“Perception bias”
Urban infrastructure audit
Auditing and mapping traffic infrastructure is a crucial task in urban management. For example, signalized intersections play an essential role in transportation management; however, effectively identifying these intersections remains unsolved. Traditionally, signalized intersection data are manually collected through field audits or checking street view images (SVIs), which is time-consuming and labor-intensive. This study proposes an effective …
The impacts of the built environment on bicycle-metro transfer trips
Human settlement value assessment from a place perspective
A Study on the Settlement of Türk Surrender Tribes in the Fourth Year of Emperor Taizong’s Zhenguan Reign—Taking the Northern Part of Hedong Dao as an Example
In the fourth year of the Zhenguan reign, the Eastern Türk Khaganate was conquered and a large number of Türk tribes surrendered. Emperor Taizong of Tang adopted the strategy of “Preserving their tribes, following their local customs” and established Jimi Prefecture in the northern agricultural and pastoral transitional zone to settle them, and a large part of them were settled in the northern part of Hedong Dao. These settlements in the Fan trib…
Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden
Influential factors of intercity patient mobility and its network structure in China
Intercity patient mobility reflects the geographic mismatch between healthcare resources and the population, and has rarely been studied with big data at large spatial scales. In this paper, we investigated the patterns of intercity patient mobility and factors influencing this behavior based on >4 million hospitalization records of patients with chronic kidney disease in China. To provide practical policy recommendations, a role identification f…
Place identity
Do cities have a collective identity? The latest advancements in generative artificial intelligence (AI) models have enabled the creation of realistic representations learned from vast amounts of data. In this study, we test the potential of generative AI as the source of textual and visual information in capturing the place identity of cities assessed by filtered descriptions and images. We asked questions on the place identity of 64 global citi…
From hearing to seeing
People experience the world through multiple senses simultaneously, contributing to our sense of place. Prior quantitative geography studies have mostly emphasized human visual perceptions , neglecting human auditory perceptions at place due to the challenges in characterizing the acoustic environment vividly. Also, few studies have synthesized the two-dimensional (auditory and visual) perceptions in understanding human sense of place. To bridge …
Artificial intelligence studies in cartography
The past decade has witnessed the rapid development of geospatial artificial intelligence (GeoAI) primarily due to the ground-breaking achievements in deep learning and machine learning. A growing number of scholars from cartography have demonstrated successfully that GeoAI can accelerate previously complex cartographic design tasks and even enable cartographic creativity in new ways. Despite the promise of GeoAI, researchers and practitioners ha…
Understanding urban perception with visual data
Human‐Centered Geospatial Data Science
This entry provides an overview of human‐centered geospatial data science, highlighting the gaps it aims to bridge, its significance, and its key topics and research. Geospatial data science, which derives geographic knowledge and insights from large volumes of geospatial big data using advanced geospatial artificial intelligence, has been widely used to tackle a wide range of geographic problems. However, it often overlooks the subjective human …
Where are GIScience faculty hired from? Analyzing faculty mobility and research themes through hiring networks
Academia is profoundly influenced by faculty hiring networks, which serve as critical conduits for knowledge dissemination and the formation of collaborative research initiatives. While extensive research in various disciplines has revealed the institutional hierarchies inherent in these networks, their impacts within GIScience remain underexplored. To fill this gap, this study analyzes the placement patterns of 946 GIScience faculty worldwide by…
Transferred Bias Uncovers the Balance Between the Development of Physical and Socioeconomic Environments of Cities
Evaluating the balance between a city’s physical and socioeconomic environmental development is crucial for creating sustainable and livable urban spaces. Although they might appear contradictory, they jointly support the comprehensive sustainable urban development strategy. Traditional methods usually focus on assessing this balance from a specific perspective, such as how neighborhood greenery shapes real estate value. Yet, they fail to deliver…
Urban visual uniqueness
Crime-associated inequality in geographical access to education
Do You Know Your Neighborhood? Integrating Street View Images and Multi-task Learning for Fine-Grained Multi-Class Neighborhood Wealthiness Perception Prediction
Geography (19 obras) · Computer Science (15 obras) · Psychology (11 obras) · Human Mobility and Location-Based Analysis (10 obras) · Perception (8 obras) · Cartography (7 obras) · Sociology (7 obras) · Urban Transport and Accessibility (7 obras) · Artificial Intelligence (6 obras) · Economics (5 obras)