Conclusion
The potentials of SDSS in determining optimum sites for physical development within the built environment have been demonstrated in this study. The SDSS developed took into consideration existing and future planning scenarios with the aim of creating a sustainable built environment. To do this, a framework for capturing existing landuse was generated and the SDSS used to generate physical expansion scenarios of the Obafemi Awolowo University. The system facilitated integrated procedures for determining optimal sites for incremental physical development in such a way as to minimize impact on other aspects of development. The application of SDSS shows that planning especially as it relate to the urban environment can be made more flexible, dynamic and responsive to timely decisions on geographic space. The SDSS enables a faster and more flexible way of carrying out spatial search on features within the area of interest especially where a large expanse of land is being covered. For instance, a search involving a building, road or any other features can be performed within seconds and the results displayed either graphically, pictorially or as moving video. The results of the spatial analyses show among other things the need to refocus development in the urban built outside the core areas of the study area for efficiency and sustainability of the near balance between physical development and the natural environment. In general, this research work is aimed at achieving a sustainable built university environment.