Submitted by Angela Walters on Mon, 04/06/2018 - 10:28
Project background
This project aims to understand how check-in data from social media is distributed around Cambridge and what kinds of spatial segmentation can be identified. It validated the social media data on urban segregation using observation and questionnaires. We conducted pilots at Cambridge in the UK and then compared it with a prior study of Ningbo in China for an international perspective.
Outcomes
This research provides a conceptual and methodological framework for analysis of crowd-sourced data that is more attentive to the social and economic relations embodied in spatial-temporal behaviours.
Method
- Data analysis
- Questionnaire
People
Project
Crowdsourcing Data in Mining Spatial Urban Activities