[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
Mapping the distribution, pattern, and composition of urban land use categories plays a
valuable role in understanding urban environmental dynamics and facilitating sustainable …

Social media analytics for natural disaster management

Z Wang, X Ye - International Journal of Geographical Information …, 2018 - Taylor & Francis
Social media analytics has become prominent in natural disaster management. In spite of a
large variety of metadata fields in social media data, four dimensions (ie space, time, content …

Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas

H Tenkanen, E Di Minin, V Heikinheimo… - Scientific reports, 2017 - nature.com
Social media data is increasingly used as a proxy for human activity in different
environments, including protected areas, where collecting visitor information is often …

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 …

Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges

TH Rashidi, A Abbasi, M Maghrebi, S Hasan… - … Research Part C …, 2017 - Elsevier
In the past few years, the social science literature has shown significance attention to
extracting information from social media to track and analyse human movements. In this …

Social media analytics and value creation in urban smart tourism ecosystems

T Brandt, J Bendler, D Neumann - Information & Management, 2017 - Elsevier
In this article, we demonstrate the potential value that the spatial and semantic analysis of
social media messages can provide to smart tourism ecosystems. Building upon a …

Event classification and location prediction from tweets during disasters

JP Singh, YK Dwivedi, NP Rana, A Kumar… - Annals of Operations …, 2019 - Springer
Social media is a platform to express one's view in real time. This real time nature of social
media makes it an attractive tool for disaster management, as both victims and officials can …

Leveraging Twitter to gauge evacuation compliance: Spatiotemporal analysis of Hurricane Matthew

Y Martín, Z Li, SL Cutter - PLoS one, 2017 - journals.plos.org
Hurricane Matthew was the deadliest Atlantic storm since Katrina in 2005 and prompted one
of the largest recent hurricane evacuations along the Southeastern coast of the United …

Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us?

Q Huang, DWS Wong - International Journal of Geographical …, 2016 - Taylor & Francis
Individual activity patterns are influenced by a wide variety of factors. The more important
ones include socioeconomic status (SES) and urban spatial structure. While most previous …

Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience

Y Yan, CC Feng, W Huang, H Fan… - International Journal of …, 2020 - Taylor & Francis
More than 10 years have passed since the coining of the term volunteered geographic
information (VGI) in 2007. This article presents the results of a review of the literature …