Big Data Analytics in Urban Planning and Service Delivery: A Case Study of Cairo, Egypt

Urban planning in Cairo, Egypt has faced significant challenges due to rapid urbanization and population growth. The study utilised a mixed-methods approach combining qualitative interviews with quantitative data analysis. Analysis revealed that approximately 70% of surveyed residents experienced improved waste management services post-integration of big data analytics into the city's waste disposal system. Big data analytics has shown promise in enhancing urban service delivery, though further research is needed to validate these findings across different contexts. Further implementation and evaluation are recommended with a focus on integrating diverse datasets for comprehensive urban planning solutions. Urban Planning, Big Data Analytics, Service Delivery, Cairo 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.