Identifying street landuse patterns using frequent Itemset mining = Nhận diện kiểu mẫu sử dụng đất đường phố thông qua ứng dụng thuật toán khai thác tập phổ biến

Abstract

Street spaces in Vietnam are primarily planned for residential land use functions. However, with the advancement of society, people increasingly tend to convert part or all of this function to serve various commercial and business purposes, leading to diversification in land use along the streets. This transformation has significantly impacted activities within urban spaces. This study develops a method to identify typical land use patterns along streets by applying Frequent Itemset Mining techniques. The results identified 10 different land use patterns along the streets of Da Nang. These land use combinations provide an important foundation for studies related to urban planning and management, while also supporting investment and business development. Moreover, the research proposes a reliable method that plays a crucial role in helping researchers identify typical land use patterns, contributing to further research as well as various practical applications.