城市路面性能分布空间异质性解析及差异化养护分区研究

Affected by factors such as land use and road maintenance, the spatial distribution of urban pavement performance exhibits significant spatial heterogeneity. Understanding the differences and causes behind the spatial distribution of urban pavement performance is crucial for allocating maintenance resources and formulating maintenance plans. Unlike existing studies that primarily focus on the impact of natural factors like climate on pavement performance deterioration, this study emphasizes exploring the influencing factors and distribution characteristics of spatial heterogeneity in urban pavement performance under human activities, further categorizing differentiated routine maintenance zones. Utilizing weekly updated fine-grained pavement performance data, this research employs a geographical detector model to identify key factors affecting pavement performance distribution and their interactions. Subsequently, according to the identified significant factors, four types of road segments with distinct spatial distribution characteristics and corresponding maintenance zones were divided by two-stage clustering analysis. Results indicate that human factors such as maintenance frequency and traffic facilities significantly affect the spatial heterogeneity in pavement performance distribution. The interactions between factors can substantially enhance their explanatory power regarding the spatial distribution of pavement performance. Moreover, the division of road segments based on significant factors accurately characterizes their spatial distribution features and different maintenance needs, which further supports the division of differentiated maintenance zones. These conclusions can provide support for formulating data-driven and scientific maintenance decisions, aiding in the optimization of limited maintenance resources to improve maintenance efficiency and effectiveness.