APA (7th ed.) Citation

Dai, S., Zhao, W., Wang, Y., Huang, X., Chen, Z., Lei, J., . . . Jia, P. (2023). Assessing spatiotemporal bikeability using multi-source geospatial big data: A case study of Xiamen, China. International journal of applied earth observation and geoinformation, 125, 103539. https://doi.org/10.1016/j.jag.2023.103539

Chicago Style (17th ed.) Citation

Dai, Shaoqing, Wufan Zhao, Yanwen Wang, Xiao Huang, Zhidong Chen, Jinghan Lei, Alfred Stein, and Peng Jia. "Assessing Spatiotemporal Bikeability Using Multi-source Geospatial Big Data: A Case Study of Xiamen, China." International Journal of Applied Earth Observation and Geoinformation 125 (2023): 103539. https://doi.org/10.1016/j.jag.2023.103539.

MLA (9th ed.) Citation

Dai, Shaoqing, et al. "Assessing Spatiotemporal Bikeability Using Multi-source Geospatial Big Data: A Case Study of Xiamen, China." International Journal of Applied Earth Observation and Geoinformation, vol. 125, 2023, p. 103539, https://doi.org/10.1016/j.jag.2023.103539.