UrbanClassifier: A deep learning-based model for automated typology and temporal analysis of urban fabric across multiple spatial scales and viewpoints.
Comput. Environ. Urban Syst., 2024
A framework for human-computer interactive street network design based on a multi-stage deep learning approach.
Comput. Environ. Urban Syst., 2022
A topography-aware approach to the automatic generation of urban road networks.
Int. J. Geogr. Inf. Sci., 2022
Multitemporal Relearning With Convolutional LSTM Models for Land Use Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
"Reading" cities with computer vision: a new multi-spatial scale urban fabric dataset and a novel convolutional neural network solution for urban fabric classification tasks.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
Big data and urban system model - Substitutes or complements? A case study of modelling commuting patterns in Beijing.
Comput. Environ. Urban Syst., 2018
Design with Uncertainty: The Role of Future Options for Infrastructure Integration.
Comput. Aided Civ. Infrastructure Eng., 2016
Adaptive Zoning for Efficient Transport Modelling in Urban Models.
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015
Applied Urban Modeling: New Types of Spatial Data Provide a Catalyst for New Models.
Trans. GIS, 2013
Adaptive Zoning for Transport Mode Choice Modeling.
Trans. GIS, 2013