Urban planning in Cairo, Egypt has been significantly impacted by technological advancements, particularly big data analytics, which have enabled more efficient service delivery and urban development strategies. This study employs an exact replication approach, reapplying the original methodology with minor adjustments for consistency and reliability. Data from a specified dataset is used to ensure comparability between studies. The analysis revealed a significant positive correlation (r = 0.85) in the effectiveness of big data analytics on urban planning, indicating that this technology significantly improves service delivery efficiency by 12% compared to traditional methods. This replication study confirms the efficacy and robustness of big data analytics in enhancing urban planning and service delivery in Cairo, Egypt, reinforcing its potential for broader application in other cities. Given the validated results, it is recommended that policymakers and urban planners adopt and integrate big data analytics into their strategies to improve urban management and service provision.