Yao Yao

Publications

• Mapping fine-scale urban housing prices by fusing remotely sensed imagery and social media data
• Classifying urban land use by integrating remote sensing and social media data
• Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata
• Estimating the effects of “community opening” policy on alleviating traffic congestion in large Chinese cities by integrating ant colony optimization and complex network analyses
• A time series of urban extent in China using DSMP/OLS nighttime light data
• Multiple intra-urban land use simulations and driving factors analysis: a case study in Huicheng, China
• Temporal and Spatial Analyses of the Landscape Pattern of Wuhan City Based on Remote Sensing Images
• Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques
• Sensing Mixed Urban Land-Use Patterns Using Municipal Water Consumption Time Series
• The Traj2Vec model to quantify residents’ spatial trajectories and estimate the proportions of urban land-use types
• Cross-sectional associations between long-term exposure to particulate matter and depression in China: The mediating effects of sunlight, physical activity, and neighborly reciprocity
• Accurate Estimation of the Proportion of Mixed Land Use at the Street-Block Level by Integrating High Spatial Resolution Images and Geospatial Big Data
• Residential greenness, air pollution and psychological well-being among urban residents in Guangzhou, China
• A spatial-compositional feature fusion convolutional autoencoder for multivariate geochemical anomaly recognition
• Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China
• Natural outdoor environments and subjective well-being in Guangzhou, China: Comparing different measures of access
• Analyzing the Effects of Rainfall on Urban Traffic-Congestion Bottlenecks
• Extracting the Tailings Ponds from High Spatial Resolution Remote Sensing Images by Integrating a Deep Learning-Based Model
• Estimating urban functional distributions with semantics preserved POI embedding
• Hierarchical community detection and functional area identification with OSM roads and complex graph theory
• Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: a case study of mainland China
• A global North-South division line for portraying urban development
• A comparison of two deep-learning-based urban perception models: which one is better?
• Fine‐scale intra‐ and inter‐city commercial store site recommendations using knowledge transfer
• Under the Dome: A 3D Urban Texture Model and Its Relationship with Urban Land Surface Temperature
• Delineating urban job-housing patterns at a parcel scale with street view imagery
• A human-machine adversarial scoring framework for urban perception assessment using street-view images
• Functional urban land use recognition integrating multi-source geospatial data and cross-correlations
• Exploring the spatial differentiation of urbanization on two sides of the Hu Huanyong Line -- based on nighttime light data and cellular automata
• Geospatial Big Data: New Paradigm of Remote Sensing Applications
• Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata
• cuFSDAF: An Enhanced Flexible Spatiotemporal Data Fusion Algorithm Parallelized Using Graphics Processing Units
• Analyzing the correlation between visual space and residents' psychology in Wuhan, China using street-view images and deep-learning technique
• Understanding China’s urban functional patterns at the county scale by using time-series social media data
• How do urban services facilities affect social segregation among people of different economic levels? A case study of Shenzhen city
• Estimating China’s poverty reduction efficiency by integrating multi-source geospatial data and deep learning techniques
• Fast optimization for large scale logistics in complex urban systems using the hybrid sparrow search algorithm
• A site selection framework for urban power substation at micro‐scale using spatial optimization strategy and geospatial big data
• Cover Image
• Unsupervised land-use change detection using multi-temporal POI embedding
• Spatial cooperative simulation of land use-population-economy in the Greater Bay Area, China
• Predicting the locations of missing persons in China by using NGO data and deep learning techniques
• A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis
• HashGAT-VCA: A vector cellular automata model with hash function and graph attention network for urban land-use change simulation
• Automated external defibrillator location selection considering myocardial infarction risk and medical resources
• Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives
• Urban Public Space Safety Perception and the Influence of the Built Environment from a Female Perspective: Combining Street View Data and Deep Learning
• Temporal-VCA: Simulating urban land use change using coupled temporal data and vector cellular automata
• Extracting the pickpocketing information implied in the built environment by treating it as the anomalies
• Research Method of Interpretable Urban Perception Model based on Street View Imagery,基于街景图像的可解释性城市感知模型研究方法
• Associations between streetscape characteristics at Chinese adolescents’ activity places and active travel patterns on weekdays and weekends
• Exploring the association between neighbourhood streetscape vegetation and subjective well-being in a high-density built environment: Evidence from Beijing, China
• Applicability and sensitivity analysis of vector cellular automata model for land cover change
• Extracting human perceptions from street view images for better assessing urban renewal potential
• Classifying land-use patterns by integrating time-series electricity data and high-spatial resolution remote sensing imagery
• Predicting short-term PM2.5 concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural network
• Horizontal Vibration Characteristics of Offshore Two–Pile Groups
• Horizontal vibration characteristics of offshore twin–pile foundations
• More visible greenspace, stronger heart? Evidence from ischaemic heart disease emergency department visits by middle-aged and older adults in Hubei, China
• DCAI-CLUD: a data-centric framework for the construction of land-use datasets
• CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions
• Estimating the Spatial Variation of Electricity Consumption Anomalies and theInfluencing Factors
• The impact of heterogeneous accessibility to metro stations on land use changes in a bike-sharing context
• Using the hierarchy of active travel needs to examine associations between streetscape environments and older adults' active travel in China
• Gauging urban resilience in the United States during the COVID-19 pandemic via social network analysis
• Mechanistic Insight into Electron Transfer from Fe(II)-Bearing Clay Minerals to Fe (Hydr)oxides
• Exploring the pathways linking visual green space to depression in older adults in Shanghai, China: using street view data
• Fine-grained regional economic forecasting for a megacity using vector-based cellular automata
• Assessing myocardial infarction severity from the urban environment perspective in Wuhan, China
• A site selection framework for urban power substation at micro-scale using spatial optimization strategy and geospatial big data
• Enviornmental Perception Mediates Associations between Streetscape Environments and Adolescents' Active School Travel
• A Coupled FLUS and Markov Approach to Simulate the Spatial Pattern of Land Use in Rapidly Developing Cities,耦合FLUS和Markov的快速发展城市土地利用空间格局模拟方法
• Recognizing Multivariate Geochemical Anomalies Related to Mineralization by Using Deep Unsupervised Graph Learning
• Nonlinear associations between street-level greenery quantity and quality, physical activity, and sedentary behaviour in Chinese middle-aged and older adults: A socioeconomic equity perspective
• Green space exposure at subway stations, transportation mode choice and travel satisfaction
• “Green transit-oriented development”: Exploring the association between TOD and visible green space provision using street view data
• Adolescents' environmental perceptions mediate associations between streetscape environments and active school travel
• Uncovering spatiotemporal development patterns of AIDS in China: A study using panel data with Joinpoint Regression analysis and Spatial Clustering
• Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model
• The Impact of Heterogeneous Accessibility to Metro Stations on Land Use Changes in a Bike-Sharing Context
• Associations between the streetscape built environment and walking to school among primary schoolchildren in Beijing, China
• New method to calculate the kinematic response of offshore pipe piles under seismic S-waves
• CuFSDAF: An Enhanced Flexible Spatiotemporal Data Fusion Algorithm Parallelized Using Graphics Processing Units
• Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism
• Can parkland mitigate mental health burden imposed by the COVID-19? A national study in China
• Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China
• Delineating China's Urban Traffic Layout by Integrating Complex Graph Theory and Road Network Data,基于路网数据和复杂图论的中国城市交通布局评价
• VecLI: A framework for calculating vector landscape indices considering landscape fragmentation
• Spatiotemporal distribution of human trafficking in China and predicting the locations of missing persons
• The inequalities of different dimensions of visible street urban green space provision: A machine learning approach
• The longitudinal relationship between exposure to air pollution and depression in older adults
• Perceived influence of street-level visible greenness exposure in the work and residential environment on life satisfaction: Evidence from Beijing, China
• Visible green space predicts emotion: Evidence from social media and street view data
• Exploring the spatial differentiation of urbanization on two sides of the Hu Huanyong Line – based on nighttime light data and cellular automata
• The distribution of greenspace quantity and quality and their association with neighbourhood socioeconomic conditions in Guangzhou, China: A new approach using deep learning method and street view images
• Fine-scale risk assessment of COVID-19 in Wuhan based on multisource geographical data
• Variability in and mixtures among residential vacancies at granular levels: Evidence from municipal water consumption data
• Mixed-cell cellular automata: A new approach for simulating the spatio-temporal dynamics of mixed land use structures
• Analyzing the Effects of Rainfall on the Urban Traffic Congestion Bottlenecks by Using Floating Car Data
• Delineating Mixed Urban "jobs-Housing" Patterns at a Fine Scale by Using High Spatial Resolution Remote-Sensing Imagery
• RunnerDNA: Interpretable indicators and model to characterize human activity pattern and individual difference
• Simulating urban expansion by incorporating an integrated gravitational field model into a demand-driven random forest-cellular automata model
• Fine-scale intra- and inter-city commercial store site recommendations using knowledge transfer
• Revealing the Behavioral Patterns of Different Socioeconomic Groups in Cities with Mobile Phone Data and House Price Data,耦合手机信令数据和房价数据的城市不同经济水平人群行为活动模式研究
• Site Selection of Outdoor Advertisement for Home Decoration Brands Based on Multi-source Spatial Big Data,多 源 空 间 大 数 据 场 景 下 的 家 装 品 牌线 下 广 告 选 址
• Spatial-Temporal Patterns of Network Structure of Human Settlements Competitiveness in Resource-Based Urban Agglomerations
• Spatiotemporal dynamics and the contributing factors of residential vacancy at a fine scale: A perspective from municipal water consumption
• UrbanVCA: A vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level
• Modeling the dynamics and walking accessibility of urban open spaces under various policy scenarios
• Discovering the homogeneous geographic domain of human perceptions from street view images
• A Framework for AR Spatial Analysis based on Edge-Cloud Integration,基于边云协同的AR空间分析计算框架
• Extracting the tailings ponds from high spatial resolution remote sensing images by integrating a deep learning‐based model
• Understanding the drivers of sustainable land expansion using a patch-level simulation model: A case study in Wuhan, China
• Review of the application of big data and artificial intelligence in geology
• Relationship between eye-level greenness and cycling frequency around metro stations in Shenzhen, China: A big data approach
• Extracting Building Contour and Level by Coupling U-net and Single-View High-Resolution Remote Sensing Images
• Analyzing Spatiotemporal Distribution of PM2.5 in China by Integrating Kalman Filter and Multi-level Clustering,耦合卡尔曼滤波和多层次聚类的中国PM2.5时空分布分析
• Sensing Multi-level Urban Functional Structures by Using Time Series Taxi Trajectory Data,使用时序出租车轨迹识别多层次城市功能结构
• Mapping the Fine-Scale Housing Price Distribution by Integrating a Convolutional Neural Network and Random Forest,卷积神经网络和随机森林的城市房价微观尺度制图方法
• Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method
• The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: Using street view images
• The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: Using street view imagery with deep learning techniques
• Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents’ mental health
• Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures
• Sensing urban land-use patterns by integrating google tensorflow and scene-classification models
• Simulation of urban expansion and farmland loss in China by integrating cellular automata and random forest
• Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method
• Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model
• Sensing urban land-use patterns by integrating Google Tensorflow and scene-classification models
• Neighborhood social reciprocity and mental health among older adults in China: The mediating effects of physical activity, social interaction, and volunteering
• Effects of population agglomeration on urban economic growth in China
• Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique
• Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures
• Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data
• Temporal and spatial analyses of the landscape pattern of Wuhan city based on remote sensing images
• Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall Events Using Massive Individual Trajectory Data
• Individual mobility prediction by considering current traveling features and historical activity chain
• Explainable mapping of the irregular land use parcel with a data fusion deep learning model
• MSLU-100K: A Large Multi-Source Dataset for Land Use Analysis in Major Chinese Cities
• From Street View Imagery to the Countryside: Large-Scale Perception of Rural China Using Deep Learning
• CoCA: Spatial cooperative simulation and future prediction of “land-population-economy” in urban agglomerations
• Exploring the Impact of Park and Surrounding Environments on Violent Crime in Wuhan: An XGBoost-SHAP Approach