Regulating in-between (in)formality: institutionalising the private rental market in China’s urban villages See

A Graph Deep Learning Model for Station Ridership Prediction in Expanding Metro Networks See

Trajectory Prediction and Risk Assessment in Car-Following Scenarios Using a Noise-Enhanced Generative Adversarial Network See

Comparing effectiveness of point of interest data and land use data in theft crime modelling: A case study in Beijing See

High spatiotemporal resolution estimation and analysis of global surface CO concentrations using a deep learning model See

Does subjective wellbeing modify travel behaviour changes among older people in response to a new metro line? See

Beyond hazard-induced migration: Dissecting everyday mobilities in response to air pollution and extreme cold events at multiple spatial and temporal scales See

Unraveling the effects of micro-level street environment on dockless bikeshare in Ithaca See

Urban political ecology of informal e-waste "scalvaging" in Guiyu, China : a relational approach See

The geography and governance of new town development through public-private partnerships in China See

The built environment dimensions of stationary activities in volumetric TOD station service areas : a multi-source urban data approach See

Prediction of energy use intensity of urban buildings using the semi-supervised deep learning model See

Pedestrian volume prediction with high spatiotemporal granularity in urban areas by the enhanced learning model See

Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology See

A long short-term memory-based framework for crash detection on freeways with traffic data of different temporal resolutions See

Exploring the effects of 2D/3D building factors on urban energy consumption using explainable machine learning See

Spatially Explicit Impact of Land Use Changes in the Bay Area on Anthropogenic Phosphorus Emissions and Freshwater Eutrophication Potential See

We must discuss research environments See

Global Burden of Cardiovascular Diseases and Risks, 1990-2022 See