Our living environment is under real threat of various global issues like global warming, rising sea-level, changing weather patterns, floods and hurricanes etc as well as local issues likes housing, traffic congestion, pollution, health and environmental degradation etc. All these issues are inter-related and our cities are the major contributor. These issues can’t be addressed in isolation and, therefore, require an integrated approach in the form of urban planning and management. In this regard, up to date spatial Information is critical for better problem analysis and policy formulation. But in reality, absence of appropriate spatial information is affecting such efforts. Recent advancement in Information & Communication Technologies (ICT) has enabled development of spatial data platforms like Spatial Data Infrastructures (SDI) for affective and efficient data integration, information sharing and its application for informed decision making. But so far, urban planners and decision makers are unable to fully benefit from SDI partially due to their limited information and partially due to the absence of a standard SDI model for implementation. This paper explores how SDI can facilitate planners and decision makers in informed decision making and how local authorities can implement it by applying modern concepts in distributing computing like service oriented approach with the help of Unified Modeling Language (UML) technique. Improved urban planning and management through better information integration and sharing by SDI can assist in minimising the intensity of above mentioned problems for a sustainable environment.