Abstract

For many years, urban sciences relied heavily on traditional, authoritative data sources. However, a paradigm shift has occurred recently with the advent of citizen-driven data contribution. This evolution in data acquisition for urban science is attributable to advancements in positioning and navigation technologies, widespread use of digital devices, the rise of Web 2.0, enhanced broadband communications, and refined data management techniques. The significance of crowdsourced geospatial data in the realm of urban sciences is now widely acknowledged. A diverse array of novel data sources has been increasingly gaining prominence. These include, but are not limited to, social media platforms, street view images, GPS signals from cellphones, smartphone applications, transaction records, online mapping services, and sensor data crowdsourced from the public. This innovative approach to data collection, fuelled by contributions from individuals around the globe, opens up possibilities for accessing data that would otherwise remain untapped. This editorial aims to offer a unique perspective on how crowdsourced geospatial data is revolutionizing the field of urban sciences. We categorize the studies into five primary areas: 1) tourism, 2) urban visuals and perception, 3) urban infrastructure and func- tionality, 4) mobility and transportation, and 5) miscellaneous, and further discuss the challenges and oppor- tunities that lie ahead for future research in this field.

Document Type

Article

Publication Date

2024

Notes/Citation Information

1569-8432/© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Digital Object Identifier (DOI)

https://doi.org/10.1016/j.jag.2024.103687

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