activity
20232026
most citedUncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction

40 citations · 46 across the 7 of their papers we have counts for

collaborators

7 papers

econ.GN2026

Spatial accessibility to food banks hinders food parcel uptake in England and Wales, particularly in rural areas

Laura Sheppard, Carmen Cabrera, Daphne Badounas +7

Food bank use in the UK has soared in recent years. The combination of a global pandemic, over-stretched and underfunded public services, and a cost-of-living crisis has meant that…

physics.soc-ph2025

Defining the urban "local" with low dimensional manifolds of human mobility networks

Hezhishi Jiang, Liyan Xu, Tianshu Li +7

Urban science has largely relied on universal models, rendering the heterogeneous and locally specific nature of cities effectively invisible. Here we introduce a topological frame…

cs.CY2024★ 1 cited

Evolutionary Greedy Algorithm for Optimal Sensor Placement Problem in Urban Sewage Surveillance

Sunyu Wang, Yutong Xia, Huanfa Chen +2

Designing a cost-effective sensor placement plan for sewage surveillance is a crucial task because it allows cost-effective early pandemic outbreak detection as supplementation for…

cs.LG2024★ 3 cited

SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction

Xiaowei Gao, James Haworth, Ilya Ilyankou +4

Predicting traffic accidents is the key to sustainable city management, which requires effective address of the dynamic and complex spatiotemporal characteristics of cities. Curren…

cs.LG2023★ 40 cited

Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction

Xiaowei Gao, Xinke Jiang, Dingyi Zhuang +4

Traffic accidents present substantial challenges to human safety and socio-economic development in urban areas. Developing a reliable and responsible traffic accident prediction mo…

cs.CE2023★ 2 cited

Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN)

Xiaowei Gao, James Haworth, Dingyi Zhuang +2

Urban road-based risk prediction is a crucial yet challenging aspect of research in transportation safety. While most existing studies emphasize accurate prediction, they often ove…

physics.soc-ph2023

Unraveling the Variations of the Society of England and Wales through Diffusion Maps Analysis on Census 2011

Gezhi Xiu, Huanfa Chen

We propose a new approach to identifying geographical clustering and hotspots of inequality from decadal census data. We use diffusion mapping to study the 181,408 Output Areas in…