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Haifeng Niu currently works at the Department of Land Economy, University of Cambridge. Haifeng does research in Geostatistics, Geoinformatics (GIS) and Quantitative Social Research.
The penetration of devices integrated with location-based services and internet services has generated massive data about the everyday life of citizens and tracked their activities happening in cities. Crowdsourced data, such as social media data, POIs data and collaborative websites, generated by the crowd, has become fine-grained proxy data of ur...
Delineating urban functional use plays a key role in understanding urban dynamics, evaluating planning strategies and supporting policymaking. In recent years, Points of Interest (POI) data, with precise geolocation and detailed attributes, have become the primary data source for exploring urban functional use from a bottom-up perspective, using lo...
Large-scale geotagged social media data have been increasingly used for exploring human movement patterns in cities. Challenges of this new data type, such as non-representative users and the lack of activity purposes, remain unsolved and limit its applications in exploring activity-based human patterns in cities. To deal with the above challenges,...
The COVID-19 pandemic has resulted in cities implementing lockdown measures, causing unprecedented disruption (e.g. school/shop/office closures) to urban life often extending over months. With the spread of COVID-19 now being relatively contained, many cities have started to ease their lockdown restrictions by phases. Following the phased recovery...