A5065911110- Human Mobility and Location-Based Analysis
- Geographic Information Systems Studies
- Data Management and Algorithms
- Land Use and Ecosystem Services
- Impact of Light on Environment and Health
- Urban Transport and Accessibility
Institute for Infocomm Research
2020
Agency for Science, Technology and Research
2020
University College London
2017-2019
With as many 4 million passenger journeys within the London Underground system every weekday, advertisement spaces across stations hold considerable potential. However, planning of specific advertisements time and space is difficult to optimize little known about passers-by. Therefore, in order generate detailed quantifiable spatio-temporal information which particular each station area, we have explored local social media data. This research demonstrates how interests can be mined from...
Abstract Place is a concept that fundamental to how we orientate and communicate space in our everyday lives. Crowdsourced social media data present valuable opportunity develop bottom‐up inferences of places are integral activities settings. Conventional location‐led approaches use predefined spatial unit associate with places, which cannot capture the richness urban (i.e., extents their dynamic functions). This article develops name‐led framework overcome these limitations using study...