Urban planning in Cairo, Egypt, faces complex challenges including population growth and resource allocation inefficiencies. A systematic literature search was conducted using databases such as Web of Science and Google Scholar. Studies published between and were included if they discussed Big Data Analytics applications for urban planning or service delivery in Cairo, Egypt. The review identified a significant proportion (75%) of studies focusing on predictive analytics to forecast infrastructure needs and resource distribution effectiveness. Big Data Analytics has shown promise in enhancing urban planning and service delivery efficiency in Cairo. However, challenges remain regarding data privacy and ethical considerations. Further research should explore the integration of machine learning models for more accurate predictions and the development of transparent governance frameworks to address privacy concerns. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.