Social media data are transforming sustainability science. However, challenges from
restrictions in data accessibility and ethical concerns regarding potential data misuse have …

This paper provides a high‐level review of different approaches for spatial interpolation
using areal features. It groups these into those that use ancillary data to constrain or guide …

The analysis of data from social media and social networking sites may be instrumental in
achieving a better understanding of human-environment interactions and in shaping future …

“Smart cities” is a hot topic in debates about urban policy and practice across the globe.
There is, however, limited knowledge and understanding about trending smart city concepts …

Understanding why some parks are used more regularly or intensely than others can inform
ways in which urban parkland is developed and managed to meet the needs of a rapidly …

Urban vibrancy describes the attraction, diversity and accessibility of a place and exhibits
spatio-temporal variability. The relationships between urban vibrancy and land-use …

Social network data offer interesting opportunities in urban studies. In this study, we used
Twitter data to analyse city dynamics over the course of the day. Users of this social network …

Manhattan, Berlin and New Delhi all need to take action to adapt to climate change and to
reduce greenhouse gas emissions. While case studies on these cities provide valuable …

High spatial resolution urban population dataset is increasingly required for sustainable
urban planning and management. Dasymetric mapping is an effective approach to create …

The recent debate on urban vibrancy and its associated spatial characteristics worldwide
has increasingly attracted the attention of planners and decision-makers in Norway and the …