How do urban services facilities affect social segregation among people of diff economic levels
Title：How do urban services facilities affect social segregation among people of different economic levels? A case study of Shenzhen cityAbstractSocia
研究成果
The inequalities of different dimensions of visible street urban green space provision
Title：The inequalities of different dimensions of visible street urban green space provision: A machine learning approachHighlightsA machine-learning
Visible green space predicts emotion: Evidence from social media and street view data
Title：Visible green space predicts emotion: Evidence from social media and street view dataHighlightsAssessed natural outdoor environment-emotion asso
Understanding China’s urban functional patterns at the county scale by time-series social media data
Title：Understanding China’s urban functional patterns at the county scale by using time-series social media dataAbstractUnderstanding urban functions
Exploring the association between neighbourhood streetscape vegetation and subjective well-being
Title：Exploring the association between neighbourhood streetscape vegetation and subjective well-being in a high-density built environment: Evidence f
Estimating the spatial variation of electricity consumpution
Title：Estimating the spatial variation of electricity consumputionAbstractEffective detection of abnormal electricity users and analysis of the spatia
Assessing myocardial infarction severity from the urban environment perspective in Wuhan, China
Title：Assessing myocardial infarction severity from the urban environment perspective in Wuhan, ChinaHighlightsRFA-SHAP far outperforms other models f
Spatial-Temporal Patterns of Network Structure of Human Settlements in Urban Agglomerations
Title：Spatial-Temporal Patterns of Network Structure of Human Settlements Competitiveness in Resource-Based Urban AgglomerationsAbstractResource-based
More visible greenspace, stronger heart?
More visible greenspace, stronger heart? Evidence from ischaemic heart disease emergency department visits by middle-aged and older adults in Hubei, C
Estimating urban functional distributions with semantics preserved POI embedding
We present a novel approach for estimating the proportional distributions of function types (i.e. functional distributions) in an urban area through learning semantics preserved embeddings of points-of-interest (POIs). Specifically, we represent POIs as low-dimensional vectors to capture (1) the spatial co-occurrence patterns of POIs and (2) the semantics conveyed by the POI hierarchical categories (i.e. categorical semantics). The proposed approach utilizes spatially explicit random walks in a POI network to learn spatial co-occurrence patterns, and a manifold learning algorithm to capture categorical semantics. The learned POI vector embeddings are then aggregated to generate regional embeddings with long short-term memory (LSTM) and attention mechanisms, to take account of the different levels of importance among the POIs in a region. Finally, a multilayer perceptron (MLP) maps regional embeddings to functional distributions. A case study in Xiamen Island, China implements and evaluates the proposed approach. The results indicate that our approach outperforms several competitive baseline models in all evaluation measures, and yields a relatively high consistency between the estimation and ground truth. In addition, a comprehensive error analysis unveils several intrinsic limitations of POI data for this task, e.g. ambiguous linkage between POIs and functions.