APA (7th ed.) Citation

Su, S., Wang, Z., Li, B., & Kang, M. (2022). Deciphering the influence of TOD on metro ridership: An integrated approach of extended node-place model and interpretable machine learning with planning implications. Journal of transport geography, 104, 103455. https://doi.org/10.1016/j.jtrangeo.2022.103455

Chicago Style (17th ed.) Citation

Su, Shiliang, Zhuolun Wang, Bozhao Li, and Mengjun Kang. "Deciphering the Influence of TOD on Metro Ridership: An Integrated Approach of Extended Node-place Model and Interpretable Machine Learning with Planning Implications." Journal of Transport Geography 104 (2022): 103455. https://doi.org/10.1016/j.jtrangeo.2022.103455.

MLA (9th ed.) Citation

Su, Shiliang, et al. "Deciphering the Influence of TOD on Metro Ridership: An Integrated Approach of Extended Node-place Model and Interpretable Machine Learning with Planning Implications." Journal of Transport Geography, vol. 104, 2022, p. 103455, https://doi.org/10.1016/j.jtrangeo.2022.103455.