Assessing spatiotemporal bikeability using multi-source geospatial big data: A case study of Xiamen, China

Published: 01 Jan 2023, Last Modified: 05 Mar 2025Int. J. Appl. Earth Obs. Geoinformation 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A novel spatiotemproal framework is proposed for quantifying the bikeability.•Multi-source geospatial big data fusion is used for the evaluation of bikeability.•Field validation ensures the effectiveness of our bikeability results.•This framework could provide policy implications for government.
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