The cost of road snow removal has increased constantly. Thus, it is necessary to establish a measure to increase the efficiency of the road snow removal system management, where a large amount of the budget is spent. It is also necessary to have the overall and systematic management of road snow removal meet the demands of qualitative improvements, such as convenience and safety enhancements for the road users. Since early 2015, a Road Snow-removal Management System (RSMS) has been adopted and operated by the Ministry of Land, Infrastructure, and Transport to manage the snow removal system efficiently. This paper aims to find the most important input factors for a rapid response during heavy snow and search for efficient measures to address these factors accordingly. To do this, this study utilizes the following variables: the amount of snow-removal equipment in the RSMS, the number of closed-circuit televisions, the number of personnel for snow removal work, the number of the snow removal agent warehouses, the number of emergent personnel, the number of snowfall days, the number of emergence working days, the number of snow removal working days, calcium chloride output, salt output, the number of heavy-snowfall warnings issued, and the amount of snow removal equipment, to produce the most effective solutions during heavy snowfall events through an exploratory factor analysis.