In today's technology era, the smart city approach
has become a necessity for improving the quality of life for urban residents
and making cities more sustainable. Smart cities rely on data-driven smart
applications to achieve all these improvements. Smart cities enhance citizen
participation by offering new services and improving existing ones.
Additionally, the efficiency, transparency, and accountability that come with
smart governance provide significant benefits to both public services and
citizens.
However, actively utilizing the data generated in
cities brings various challenges. This is due to the heterogeneous nature of
the vast data produced in smart cities. Therefore, achieving interoperability,
which is one of the biggest challenges in smart city management, requires
bringing together and jointly addressing different types of data from different
sources and subjecting them to common analyses. In this context, for the
establishment of technical and semantic interoperability, it is vital to
collect and share data in a standardized structure and create a common language
in smart cities.
In this regard, the e-Plan Automation System Application has been implemented to ensure that the plan data produced by public institutions and private sector in the spatial planning process of cities converge in a certain standard, digitalize the data and processes, operate them accurately, quickly, and transparently, and archive geographical and verbal data related to the plans.
The GML Data Control System checks whether the
plan data conforms to national geographic data standards and the Spatial
Planning Implementation Regulation. Thus, all plans in our country are produced
in a standardized structure, can be viewed and analyzed in GIS software
independent of specific applications. The use of standardized data structures
makes significant contributions to our country's smart city transformation and
overcomes interoperability challenges.
Role of Public Institutions:
The foundation of smart cities is based on data. All infrastructure and components that make cities smart rely on data in decision support systems. However, data generated from different sources and without standardization cause significant problems in system integrations and interoperability.
In this context, it is crucial that the zoning
plans, which form the basic framework of cities, are prepared in a standardized
structure based on national geographic data standards and the Spatial Planning
Implementation Regulation.