Street Tree Management Strategies for Different Special-Purpose Areas: Using Citizen Science Data

Abstract

Background and objective: This study investigated the occurrence characteristics of street tree management factors based on different special-purpose areas with emphasis on citizen participation in data collection.Methods: We collected growth and management data of street tree sections and individual trees within sections using a monitoring form developed for street trees in four special-purpose areas in the urban area of Chuncheon. We used a binary logistic regression model to analyze the probability of occurrence for each management factor (pruning traces, sign blocking, disease and pest, felled trees, piled objects, and broken branches).Results: The probability of occurrence of management factors varied by special-purpose area, which was related to the characteristics of each area.Conclusion: This study suggests the need to develop efficient street tree management strategies by prioritizing management factors in consideration of differences in special-purpose areas