路虽远行则将至，事虽难做则必成。漫漫长路，必见曙光。《荀子•修身》
在研课题 | 武进乡村画像
武进乡村画像是由中国地质大学（武汉）UrbanComp位置智能和城市感知实验室与常州市武进规划勘测设计院合作开展的研究课题。基于矢量数据、清单数据、村景照片与问卷调查等多源数据，构建多维度的村庄画像指标体系，实现对武进区城镇建成区外自然村的基于镇村布局规划的村庄分类。本研究将为武进区乡村规划和管理提供新的技术手段和决策支持，促进乡村的可持续发展。
Is Perceived Safety Key to Green Space Use and Comfort?
Title: Is perceived safety a prerequisite for the relationship between green space availability, and the use and perceived comfort of green space?
Interpretable Urban Morphology–Function Mapping with XGNN
Title: Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
Explainable mapping of irregular parcels via data-fusion deep learning
Title: Explainable mapping of the irregular land use parcel with a data fusion deep learning model
A Framework for Exploring “Transfer-Out” Land Parcels under ECL Policy
Title: A Framework for Exploring “Transfer-Out” Land Parcels for Urban Development Under the Ecological Control Line (ECL) Policy in China
Mobility Prediction with Travel Features and Activity Chains
Title: Individual mobility prediction by considering current traveling features and historical activity chain
Association between eye-level greenness and childhood hypertension using street view
Title: Is there an association between eye-level greenness and childhood hypertension using street view? Findings from the Seven Northeastern Cities study in China
Urban sensing in the era of large language models
Title: Urban sensing in the era of large language models
Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall Events
Title: Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall Events Using Massive Individual Trajectory Data
团队新闻 | 姚尧教授当选国际顶级期刊Computers, Environment and Urban Systems编委
近日，中国地质大学（武汉）地理与信息工程学院姚尧教授受邀担任国际知名期刊《Computers, Environment and Urban Systems》（计算机、环境和城市系统，以下简称CEUS）的编委。CEUS作为地理信息与城市研究领域的顶级期刊，2024年最新影响因子达到7.1，被评为中科院1区Top期刊，涵盖地球科学、地理学、区域与城市规划等多个学科方向，具有广泛的国际影响力。
