Dataset

road-movement-analytics

Movement quantification across roads, zones and points of interest calculated from location-based services data, widely used in transport and land-use economics.

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Dataset card

StreetLight Data's road-movement-analytics is a commercial mobility dataset that aggregates location-based-services data to characterize vehicle and traffic activity across road networks. It is positioned for transport economics and zone-level traffic analysis rather than pedestrian or transit flows.

What this dataset contains

The product provides road movement analytics derived from location-based-services (LBS) data, with tags emphasizing traffic, roads, zones, and transport economics. Publisher documentation describes it as a movement rather than pedestrian dataset, suggesting the underlying observations are tied to vehicle-classified trips on road segments. Sample rows, file size, and refresh cadence are not disclosed in the available metadata.

Structure and fields

Schema details are not published, so individual column names are unavailable. Based on the published tags, one would expect fields capturing zone identifiers, road or segment identifiers, time window, and trip or vehicle counts, but this cannot be confirmed from the supplied facts. Analysts evaluating the product would need to request a data dictionary from StreetLight before modeling.

How analysts use it

Road movement analytics are typically used to estimate traffic volumes, corridor usage, and zone-level demand for site selection, infrastructure planning, and logistics optimization. Investment-fund use cases implied by the tags include retail and industrial real-estate foot-traffic proxies, toll-road and auto-related revenue analysis, and supply-chain routing studies, contingent on the dataset's actual coverage and granularity.

Documentation & references 2