Accessible population by public transport in the Rhenish region

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Dataset information

Country of origin
Updated
2023.12.11 09:48
Created
2024.08.08
Available languages
English
Keywords
erreichbarkeiten, rheinisches-revier, öpnv
Quality scoring

Dataset description

The dataset contains the number of people in North Rhine-Westphalia who can be reached within an hour by public transport. It includes a complete day for each inhabited 100 m grid cell of the Rheinische Revier. The underlying methodology is a ‘cumulative opportunity’ accessibility calculated with the best possible connection that can be started in the given hour. This means that for each populated 100 m grid cell, all connections to the other grid cells are calculated for each minute in a maximum of 60 minutes. For each hour, all persons are then summed up in the reachable cells. Nomenclature of field naming: OV_01: Accessible population by public transport with start of travel between 01:00 and 01:59. The addition "_01" represents the time disk. The calculation was carried out with R5R. The following settings were selected • access to public transport is on foot • the reasonable distance to the stop has been limited to 1000 m • a maximum of 3 transfer processes are possible • Start and finish points are the midpoints of the 100m grid cells. • The accessibility was calculated for 18.01.2023 (restrictions due to temporary failures or blockages cannot be excluded). The following data sources were used to create the dataset: • Association for the Promotion of End-to-End Electronic Passenger Information (DELFI) (2023): Germany-wide target timetable data (GTFS) • Federal Office of Cartography and Geodesy (BKG): Geographical grids for Germany in Lambert projection (GeoGitter Inspire) © GeoBasis-DE / BKG (2023) • OpenStreetMap © OpenStreetMap contributors (2022) • Federal and State Statistical Offices (2015): Population per hectare R5R: Pereira, R. H. M., M. Saraiva, D. Herszenhut, C. K. V. Braga, and M. W. Conway. R5r: Rapid Realistic Routing on Multimodal Transport Networks with R 5 in R (https://github.com/ipeaGIT/r5r)
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