2022
DOI: 10.31219/osf.io/4yxj7
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Exploring jittering and routing options for converting origin-destination data into route networks: towards accurate estimates of movement at the street level

Abstract: Origin-Destination (OD) datasets provide vital information on how people travel between areas in many cities, regions and countries worldwide. OD datasets are usually represented geographically with straight lines or routes between zone centroids. For active travel, this geographic representation has substantial limitations, especially when zone origins and centroids are large: only using a single centroid origin/destination for each large zone results in sparse route networks covering only a small fraction of… Show more

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