The Transportation GIS lab is led by Dr. Zhiyong Wang (https://zhiyongwang.netlify.app/) and with the Department of Transportation at the School of Civil Engineering and Transportation in SCUT. The lab focuses on the use of geographic information systems (GIS) in transportation. We are interested in, but not limited to, the following topics:
(1). Development of Digital Twins for modelling of built environments
This research focuses on the use of 2D and 3D big spatial data (such as land use data, residential building data, and green space data) to model physical environments (e.g., traffic noise) and to derive environment factors that can efficiently and accurately represent environmental exposure.
(2). Analysis of the relationships between urban environments, mobility, and health
The project aims to use novel regression models and advanced machine learning algorithms to study the relationships between built environments (e.g., streets, buildings, green and blue spaces), human mobility, and health.
(3). Application of Digital Twins for location-based services and navigation
The goal of this project is to develop 3D city models coupled with various sensor data to support location-based services for different types of agents (e.g., wheelchairs, pedestrians, and vehicles).
交通地理信息系统实验室隶属于华南理工大学土木工程与交通学院的交通运输工程系。实验室主要研究地理信息系统（GIS）在交通工程及交通运输领域中的应用，主要研究方向包括：
- 面向城市建成环境的数字孪生构建
该研究侧重于利用2D和3D空间大数据（如土地利用数据、住宅建筑物数据和绿地数据）对城市建成环境进行空间建模，并构建一系列指标以高效、准确地描述城市中的环境暴露量（例如交通噪音）。
- 城市环境、出行和健康之间的关系分析
该研究旨在利用前沿回归模型和机器学习算法探究建成环境（例如街道、建筑物、及蓝绿空间等）对人群活动和健康的影响。
- 数字孪生在基于位置的服务和导航中的应用
该研究旨在构建三维城市信息模型，并与各种传感器数据相融合，为不同类型用户（例如轮椅、行人和车辆等）提供基于位置的服务和导航支持。