Kai-Fa Lu
Biographic Data
| ID | 4616993 |
|---|---|
| NAME | Kai-Fa Lu |
| GIVEN NAMES | Kai-Fa |
| FAMILY NAME | Lu |
| SIGNATURE | LU K |
| AFFILIATIONS | University of Florida |
| ORCID | 0000-0002-5492-7843 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Assessing vulnerability of rural buildings to tornadoes and their relationships with building attributes and surrounding land uses
Tornadoes can cause extensive destruction to the built environment, yet limited research in China has examined how building attributes and surrounding natural environments influence the vulnerability of rural buildings. Using the “6.23” tornado in Yancheng City, Jiangsu Province (China), this study applied Logistic Regression and eXtreme Gradient Boosting (XGBoost) models to analyze these relationships. A dataset of 2521 rural buildings shows tha…
Characterizing performance resilience of transportation networks against hurricane events
Symbiotic Planning Theory
Assessing the impacts of transit systems and urban street features on bike-sharing ridership
Unraveling urban bike-sharing dynamics
The Pathway of Urban Planning AI
Artificial intelligence (AI) is rapidly gaining prominence as a crucial technology to transform and reshape the field of urban planning. However, several unanswered questions persist regarding the potential impacts of AI on urban and regional planning research and practice, as well as the issues involved and the appropriate responses and plans. This paper aims to address these concerns in the AI-enabled planning process and accordingly create a t…
Spatiotemporal variations of carbon dioxide (CO2) at Urban neighborhood scale
Regional Prediction of Ozone and Fine Particulate Matter Using Diffusion Convolutional Recurrent Neural Network
Accurate air quality forecasts can provide data-driven supports for governmental departments to control air pollution and further protect the health of residents. However, existing air quality forecasting models mainly focus on site-specific time series forecasts at a local level, and rarely consider the spatiotemporal relationships among regional monitoring stations. As a novelty, we construct a diffusion convolutional recurrent neural network (…
Roadside Air Quality Forecasting in Shanghai with a Novel Sequence-to-Sequence Model
The establishment of an effective roadside air quality forecasting model provides important information for proper traffic management to mitigate severe pollution, and for alerting resident's outdoor plans to minimize exposure. Current deterministic models rely on numerical simulation and the tuning of parameters, and empirical models present powerful learning ability but have not fully considered the temporal periodicity of air pollutants. In or…
The Pathway of Urban Planning AI
Artificial intelligence (AI) is rapidly gaining prominence as a crucial technology to transform and reshape the field of urban planning. However, several unanswered questions persist regarding the potential impacts of AI on urban and regional planning research and practice, as well as the issues involved and the appropriate responses and plans. This paper aims to address these concerns in the AI-enabled planning process and accordingly create a t…
Unraveling urban bike-sharing dynamics
Roadside Air Quality Forecasting in Shanghai with a Novel Sequence-to-Sequence Model
The establishment of an effective roadside air quality forecasting model provides important information for proper traffic management to mitigate severe pollution, and for alerting resident's outdoor plans to minimize exposure. Current deterministic models rely on numerical simulation and the tuning of parameters, and empirical models present powerful learning ability but have not fully considered the temporal periodicity of air pollutants. In or…
Spatiotemporal variations of carbon dioxide (CO2) at Urban neighborhood scale
Regional Prediction of Ozone and Fine Particulate Matter Using Diffusion Convolutional Recurrent Neural Network
Accurate air quality forecasts can provide data-driven supports for governmental departments to control air pollution and further protect the health of residents. However, existing air quality forecasting models mainly focus on site-specific time series forecasts at a local level, and rarely consider the spatiotemporal relationships among regional monitoring stations. As a novelty, we construct a diffusion convolutional recurrent neural network (…
The Pathway of Urban Planning AI
Artificial intelligence (AI) is rapidly gaining prominence as a crucial technology to transform and reshape the field of urban planning. However, several unanswered questions persist regarding the potential impacts of AI on urban and regional planning research and practice, as well as the issues involved and the appropriate responses and plans. This paper aims to address these concerns in the AI-enabled planning process and accordingly create a t…
Assessing the impacts of transit systems and urban street features on bike-sharing ridership
Unraveling urban bike-sharing dynamics
Assessing vulnerability of rural buildings to tornadoes and their relationships with building attributes and surrounding land uses
Tornadoes can cause extensive destruction to the built environment, yet limited research in China has examined how building attributes and surrounding natural environments influence the vulnerability of rural buildings. Using the “6.23” tornado in Yancheng City, Jiangsu Province (China), this study applied Logistic Regression and eXtreme Gradient Boosting (XGBoost) models to analyze these relationships. A dataset of 2521 rural buildings shows tha…
Characterizing performance resilience of transportation networks against hurricane events
Symbiotic Planning Theory
Computer Science (4 works) · Geography (4 works) · Air Quality and Health Impacts (3 works) · Air Quality Monitoring and Forecasting (3 works) · Engineering (3 works) · Environmental Science (3 works) · Meteorology (3 works) · Transport engineering (3 works) · Air pollution (2 works) · Air quality index (2 works)