With funding from the DfT T-TRIG programme City Science developed bespoke analytics to support Local Transport Authorities to access, analyse and map bus performance, connectivity, coverage and demographic data, to provide insightful and consistent reporting and analysis. Working with input from partners, such as Kent County Council, the team developed new analytical processes linked to easy visualisations in Cadence 360 to support a deep understanding of bus network performance and regular reporting for the Bus Service Improvement Plan.
The City Science team reviewed best practice from across Bus Service Improvement Plans and international performance metrics to identify the most useful ways of processing and analysing bus data. Data was imported from the DfT Bus Open Data Service (BODS) which provides real-time location data and up-to-date time-table data for all bus services in the UK. This data was stored and processed so that punctuality statistics could be aggregated across time-periods and analysed by route, service and stop. Outputs were developed so that they could be easily linked to Cadence 360 for visualisation.
- Bus stop catchment analysis
- Average journey time by route and route-segment
- Average delay by route and route-segment
- Average arrival delay by bus stop
This project developed an analytical suite and scalable and replicable process to provides detailed bus performance evidence for the use in Bus Service Improvement Plans. Visualised in Cadence 360, the analysis allows for easy comparison with other data and analysis such as demographics, points of interest, core services or accessibility by other modes.