Development of 'Spatial Big Data Standard Analysis Model' to Identify Fire-Vulnerable and Bus-Shortage Areas

The Ministry of Land, Infrastructure and Transport announced on the 7th that it has developed a 'Spatial Big Data Standard Analysis Model' that quickly and easily identifies areas with insufficient bus routes or vulnerable to fires.

The Spatial Big Data Standard Analysis Model is a model that standardizes the format of data and analysis procedures based on spatial information to be utilized in various policy decisions.

Applying the standardized model when performing similar tasks allows for easy acquisition of desired analysis results, reducing costs and enabling scientific decision-making.

For example, the 'Childcare Vulnerable Area Analysis' standard analysis model was developed for Seoul, but by inputting data from Gyeonggi-do, it can also be used there. It can also be applied to analyses of library vulnerable areas or regions lacking COVID-19 screening clinics.

The Ministry of Land, Infrastructure and Transport developed models this year including Bus Stop Blind Spot Analysis (Seoul), Smart Bus Stop Installation Location Analysis (Seoul), Fire Vulnerable Area Analysis (Dongjak-gu, Seoul), Childcare Vulnerable Area Analysis (Dongjak-gu, Seoul), and Illegal Dumping Habitual and Frequent Area Analysis (Gangseo-gu, Seoul).

In the case of the Bus Stop Blind Spot Analysis model, it analyzes areas with insufficient bus stops or bus routes relative to passenger demand, which can be used for establishing and adjusting public transportation policies.

The Fire Vulnerable Area Analysis model uses data such as fire occurrences, fire station locations, and road information to analyze areas where fire response within the golden time is difficult, which can be utilized for adding fire safety facilities and installing fire prevention centers.

The standard analysis models were developed using the 'Spatial Big Data Analysis Platform' and can be easily accessed and utilized by anyone via the internet.

Kang Ju-yeop, Director of the Land Information Policy Division at the Ministry of Land, Infrastructure and Transport, said, "Spatial big data analysis and utilization technology is an indispensable technology in the era of the Fourth Industrial Revolution," and "we will continue to develop diverse and creative standard analysis models."