[HTML][HTML] Deep learning for urban land use category classification: A review and experimental assessment

Z Li, B Chen, S Wu, M Su, JM Chen, B Xu - Remote Sensing of …, 2024 - Elsevier
Map** the distribution, pattern, and composition of urban land use categories plays a
valuable role in understanding urban environmental dynamics and facilitating sustainable …

Understanding house price appreciation using multi-source big geo-data and machine learning

Y Kang, F Zhang, W Peng, S Gao, J Rao, F Duarte… - Land use policy, 2021 - Elsevier
Understanding house price appreciation benefits place-based decision makings and real
estate market analyses. Although large amounts of interests have been paid in the house …

Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach

S Hu, S Gao, L Wu, Y Xu, Z Zhang, H Cui… - … , Environment and Urban …, 2021 - Elsevier
Extracting hidden information from human mobility patterns is one of the long-standing
challenges of urban studies. In addition, exploring the relationship between urban functional …

Social sensing: A new approach to understanding our socioeconomic environments

Y Liu, X Liu, S Gao, L Gong, C Kang, Y Zhi… - Annals of the …, 2015 - Taylor & Francis
The emergence of big data brings new opportunities for us to understand our socioeconomic
environments. We use the term social sensing for such individual-level big geospatial data …

Deep learning-based remote and social sensing data fusion for urban region function recognition

R Cao, W Tu, C Yang, Q Li, J Liu, J Zhu… - ISPRS Journal of …, 2020 - Elsevier
Urban region function recognition is key to rational urban planning and management. Due to
the complex socioeconomic nature of functional land use, recognizing urban region function …

Urban visual intelligence: Studying cities with artificial intelligence and street-level imagery

F Zhang, A Salazar-Miranda, F Duarte… - Annals of the …, 2024 - Taylor & Francis
The visual dimension of cities has been a fundamental subject in urban studies since the
pioneering work of late-nineteenth-to mid-twentieth-century scholars such as Camillo Sitte …

Coupling mobile phone and social media data: A new approach to understanding urban functions and diurnal patterns

W Tu, J Cao, Y Yue, SL Shaw, M Zhou… - International Journal …, 2017 - Taylor & Francis
Understanding urban functions and their relationships with human activities has great
implications for smart and sustainable urban development. In this study, we present a novel …

[HTML][HTML] Map** urban land use by using landsat images and open social data

T Hu, J Yang, X Li, P Gong - Remote sensing, 2016 - mdpi.com
High-resolution urban land use maps have important applications in urban planning and
management, but the availability of these maps is low in countries such as China. To …

Revealing travel patterns and city structure with taxi trip data

X Liu, L Gong, Y Gong, Y Liu - Journal of transport Geography, 2015 - Elsevier
Delineating travel patterns and city structure has long been a core research topic in transport
geography. Different from the physical structure, the city structure beneath the complex travel …