'Spatial Information' Civil Complaint Service, This Local Government Can't Keep Up

Ulsan Ulju-gun Selected as National 'Best' in Spatial Information Execution Performance Evaluation

Ulsan Ulju-gun Office.

[Asia Economy Yeongnam Reporting Headquarters Reporter Kim Yong-woo] Among local governments nationwide, Ulsan Ulju-gun was the best in the business of collecting and processing spatial information such as land and buildings to provide civil service.

Ulju-gun announced on the 27th that it was selected as the best institution among local governments nationwide in the '2019 Local Government Spatial Information Project Execution Performance Evaluation' conducted by the Ministry of Land, Infrastructure and Transport and received the Minister of Land, Infrastructure and Transport Award.

The Ministry of Land, Infrastructure and Transport establishes policy implementation plans every year for the efficient construction, comprehensive utilization, and management of the national spatial information system, and evaluates the performance of local governments' spatial information projects. This year, 566 spatial information-related projects were evaluated nationwide.

Since 2017, Ulju-gun has been operating the interdepartmental collaboration support service 'Gonggan Dameumi' using drones and big data centered on the Civil Complaints Cadastral and Spatial Information Team for spatial information-based administrative support, and was recognized for its achievements and awarded.

The county recently achieved consecutive honors following the Excellence Award in the Public Institution category at the Ministry of the Interior and Safety's 'Public Big Data Best Practice Competition' last December.

Ulju-gun plans to expand the 'Gonggan Dameumi' service with the second phase project, 'Smart Administration GIS Portal Construction.'

Lee Seon-ho, Mayor of Ulju-gun, said, “I am confident that this will be an opportunity for Ulju-gun to take a step further in smart administration. We will discover various utilization models linking spatial big data with administrative information to promote highly efficient policies.”

This content was produced with the assistance of AI translation services.