Spatial Data Infrastructure for Metropolitan Bangalore: Opportunities and Challenges
S. Gopi Prasad1, B. Shankar2
1S. Gopi Prasad, Urban Designer & Director, Ides Consulting Private Limited, Bangalore, (Karnataka), India.
2B. Shankar, Associate Professor, Urban and Regional Planning, Institute of Development Studies, University of Mysore, Mysore, (Karnataka), India.
Manuscript received on 20 January 2016 | Revised Manuscript received on 30 January 2016 | Manuscript published on 30 January 2016 | PP: 68-72 | Volume-4 Issue-6, January 2016 | Retrieval Number: F1530014616©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Spatial Data Infrastructure (SDI) at the metropolitan level isdescribed as the “implementation of a framework comprising of geographical data, the technology, human resources, Policies and standards”. The objective is to allow the use of spatial data in an efficient and flexible way for the identified stakeholders in the Metropolitan area to achieve the better planning and city management. The Bangalore Development Authority (BDA had initiated the implementation of the Metropolitan Spatial Data Infrastructure (MSDI) within the jurisdiction of Bangalore Metropolitan Area early 2003. The overall goal of the initiative was to enable BDA to effectively carry out urban planning , assist in decision making, regulation and enforcement, as well as to host the spatial data for other stakeholders , by becoming a nodal base mapping agency or centre. The formal implementation of the initiative has been in co-terminus with the approval of the Revised Master Plan 2015 in the year 2007. Subsequently, there were various additional initiatives that have been taken up based on the needs of BDA and other Stakeholder. The paper traces the important follow-up initiatives for implementation of MSDI by illustrating cases. An attempt is made to highlight the opportunities and challenges for effective of metropolitan spatial data infrastructure as a platform for all the stakeholders.
Keywords: Spatial Data, Infrastructure, Metropolitan, Land Use, Water Bodies
Scope of the Article: Data Analytics