Assessing geographical representativeness of crowdsourced urban mobility data: An empirical investigation of Australian bicycling

• Published in: Environment and planning. B, Urban analytics and city science Vol. 48; no. 4; pp. 775 - 792
• Main Authors: Lieske, Scott N, Leao, Simone Z, Conrow, Lindsey, Pettit, Chris
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.05.2021
• Subjects: crowdsourcing; big data; urban analytics; urban mobility; Human movement

In an era of data-driven smart cities, the possibility of using crowdsourced big data to support evidence-based planning and decision-making remains a challenge. Along with the increased availability and potential utility of crowdsourced data, there is a clear need to assess the validity of these da...