부산대학교 도서관

In the past decade, the last-mile market within the logistics industry has witnessed an unprecedented growth of nearly 100% in the last five years. Gradually recognized as “Customer logistics,” the last-mile market is now considered an essential part of the urban service, leading to the recent implementation of the Last-mile Logistics Service Act. Despite the increasing interest and significance, there are not much thorough researches and studies yet done in this customer logistics field. This research aims to address this gap by designing a predictive model based on real parcel delivery data. By comparing and analyzing the model against actual data, the study classifies 229 administrative regions (municipalities) in Korea into four distinct types. Through this approach, the research provides a framework for analyzing under-served areas in the customer logistics that takes into account various social factors (economy, population, etc.), beyond the traditional papers which focused on geographical factors such as remote areas. The analysis of the predictive model reveals that around 50% of metropolitan cities exhibit lower levels of customer logistics compared to the predicted quantities. Even in highly developed cities like Seoul, there is a likeliness of being an under-served area in approximately 20% of 25 districts. Furthermore, 77% of regions, previously classified as delivery service vulnerable areas (rural areas), are identified as under-served areas. Additionally, it is observed that the actual volume of deliveries in remote areas, particularly in rural and mountainous regions, is insufficient. Thus, resolving the unequal distribution of logistics services between regions requires a comprehensive consideration of multiple factors.