Jittering: A Computationally Efficient Method for Generating Realistic Route Networks from Origin-Destination Data

Origin-destination (OD) datasets are often represented as ‘desire lines’ between zone centroids. This paper presents a ‘jittering’ approach to pre-processing and conversion of OD data into geographic desire lines that (1) samples unique origin destination locations for each pair, (2) splits ‘large’ pairs ‘sub-OD’ pairs. Reproducible findings, based on the open source odjitter Rust crate, show route networks generated from jittered more geographically diffuse than by ‘unjittered’ data. We conclude is computationally efficient flexible way simulate transport patterns, particularly relevant modelling active modes. Further work needed validate find optimal settings sampling disaggregation.