Using concepts from the fields of computers including civil engineering, this study investigates how geographic data analytics can be integrated into infrastructure construction and urban planning. Using additional sources of information for a thorough analysis, the study takes an interpretivist stance and applies a deductive methodology. In order to identify trends in urban land use, improve transportation systems, evaluate stakeholder viewpoints, and carry out environmental impact evaluations, geospatial information needs to be processed as well as processed. Quantitative integration, multidisciplinary cooperation, and data quality are all strengthened and improved by critical analysis. Strengthening quality of information assurance, integrating current information, and encouraging interdisciplinary cooperation are among the recommendations. Future research should focus on examining the socio-economic effects and utilizing future technologies. By advancing resilient infrastructure as well as sustainable urban design, this research helps create more effective, just, and ecologically conscious urban settings.