A hierarchical graph-based model for mobility data representation and analysis

Hierarchical representations of transportation networks should provide a better understanding of mobility patterns and the underlying structures at various abstraction levels. A hierarchical graph-based model allows representing moving objects and trajectories according to multiple spatial, temporal and semantic scales. The latter model is implemented here in a Neo4j graph database (version 4.4.0) and experimented with historical maritime data covering Brittany Bay in France.交通网络的层级化表征，可助力研究者在不同抽象层级下更深入地理解移动模式与底层结构。基于图的层级模型能够依据多空间、多时间与多语义尺度，对移动对象及其轨迹进行表征。本研究将该模型部署于Neo4j图数据库（版本4.4.0）中，并采用覆盖法国布列塔尼湾的历史海事数据开展实验。