Parking and Kerbside Data | DataSupplier
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Parking and kerbside data

DataSupplier·11 min read

The kerb is contested space, and data about parking and kerb use is increasingly valuable for mobility, logistics and cities. This guide covers parking and kerbside data.

Why kerbside data matters now

Deliveries, ride-hailing, micromobility and parking all compete for the kerb. Data on occupancy, availability and usage helps cities manage it and operators plan around it.

The data landscape

  • Parking occupancy and availability: on- and off-street.
  • Pricing and rules: tariffs and restrictions.
  • Kerb usage: loading, deliveries and dwell.
  • Demand: patterns over time.

Common use cases

Parking guidance and apps, logistics and delivery planning, kerb and curb-space management, and mobility policy.

Sourcing considerations

Data spans sensors, payment systems and surveys, with uneven coverage and varied definitions. Combining sources and consistent geocoding are central, and some data can be personal.

Delivery and cadence

Guidance wants near-real-time; planning uses batches. The data is geospatial, so consistent referencing matters.

In a managed model

A managed partner can combine occupancy, pricing and usage data into a coherent kerbside dataset.

Combining sources on consistent geography

Parking and kerb data comes from sensors, payment systems and surveys, with uneven coverage and varied definitions, so combining them on consistent geocoding is the core task. Real-time occupancy suits guidance and apps; historical patterns suit planning and kerb-management policy. As fundamentally spatial data, consistent referencing is what lets it overlay with mobility and logistics layers.

Privacy at the kerb

Some parking and kerb-use data can relate to individuals (vehicles, payments), so aggregation and the GDPR apply. Confirming licensing and provenance keeps it usable for the mix of operators, cities and logistics firms competing for kerb space.

Key takeaways
  • The kerb is contested; data helps manage and plan around it.
  • Combine occupancy, pricing, kerb usage and demand.
  • Coverage and definitions vary; combine sources with geocoding.
  • Use near-real-time for guidance and batches for planning.

Sources & further reading

  • City open-data portals and kerb-management initiatives.
  • Open Geospatial Consortium: location standards.
  • Eurostat: urban mobility statistics.
  • EUR-Lex: Regulation (EU) 2016/679 (GDPR).
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