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Using decision-tree methodologies to explore determinants of health and wellbeing outcomes at the local authority scale: the case study of London

Urban health, including physical health and wellbeing, has gained global a ention as cities prioritize policies that promote healthier living. This study answers one central question: what are the health determinants resulting in diff erent health …

Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data

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 …

The Road to Recovery: sensing public opinion towards reopening measures with social media data in post-lockdown cities

The Covid-19 pandemic has resulted in cities around the world implementing lockdown measures, causing unprecedented disruption to urban life often extending over several months. With the spread of Covid-19 now being relatively contained, many cities …

Delineating urban functional use from points of interest data with neural network embedding: a case study in Greater London

Delineating urban functional use plays a key role in understanding urban dynamics, evaluating planning stra- tegies and supporting policymaking. In recent years, Points of Interest (POI) data, with precise geolocation and detailed attributes, have …

Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications and Methods

Crowdsourced data, such as social media data, points of interest (POIs) data, and collaborative websites, generated by the crowd, have become fine-grained proxy data of urban activity and widely used in research in urban studies. This paper conducts a literature search in the Web of Science database, selecting 226 highly related papers published between 2013 and 2019. Based on these papers, the review first conducts a bibliometric analysis identifying underpinning domains, pivot scholars, and papers around this topic.