Space-time pattern mining of logistics real estate supplies and their local bivariate relationship with feight volume in South Korea

초록

As one of the major industrial properties requiring substantial amount of land, logistics real estate including warehouses and distribution centers affect land use, freight transportation, and regional economies. Logistics facilities serve as critical nodes and buffers connecting supply and demand by storing inventory over time, thereby ensuring that product availability aligns with customer orders. The space-time pattern of logistics facility locations, such as logistics sprawl, has been studied extensively in the transportation geography literature. However, little attention has been paid to the supply of logistics real estate in terms of the gross floor area of the logistics facilities. This study aims to analyze the space-time pattern of logistics real estate supplies and their relationship with freight volume by commodity type. Logistics real estate supply data were obtained from the building permit database of the Ministry of Land, Infrastructure, and Transport (MOLIT) from 2008 to 2021. Space-time pattern mining of logistics real estate supply was performed to classify them into consecutive, new, and sporadic hotspots. This study also identified a local bivariate relationship between logistics real estate supply and freight volume for several commodity types in a city-level district in 2022. Key words: Logistics real estate, logistics facilities, space-time pattern mining, local bivariate relationship