MRH Accessibility Analysis to Workplaces

The maps show the amount of accessible workstations with different means of transport and at different time intervals. The accessibility is mapped on an inhabited 100-metre grid and a comprehensive 500-metre grid. These are stored on 96,247 road sections and come from Nexiga Geodaten GmbH and are further processed by TUHH. For reasons of data protection law, visualisation and disclosure of this data is not possible. The workstations are also provided within a 20 km buffer around the MRH to avoid edge effects. Calculation of travel times: Travel times and distances in passenger, foot and cycling traffic are based on a detailed route network based on OpenStreetMap (OSM). Travel times in passenger cars are based on road loads typical of professional traffic. In passenger cars, surcharges depending on the area type are also calculated for parking search traffic, access and set-off times as well as connections. These are based on the RIN R1 Integrated Network Design Guidelines (FGSV 2010, p. 47) and are between two and nine minutes. The data in public transport are based on the real timetable data on a normal Tuesday of the timetable period 18/19. Only the timetables and between 6 a.m. and 8 a.m. are taken into account. The travel time also includes walking times to and from the stop as well as a waiting time at the starting stop. The interchange frequency corresponds to the necessary changes on the fastest connection. The number of connections indicates the frequency of journeys between 6 a.m. and 8 a.m. In long-distance transport, only the journeys on the railway lines from Hamburg to Berlin and Rostock are taken into account in order to meet the high importance for the stops in Schwerin and Ludwigslust. Flexible offers (AST, call buses, etc.) are only considered if they are included in the electronic timetable information. Sources: Timetable data: (Yearly timetable 2019): Prepared by TUHH; Deutsche Bahn AG, Verkehrsgesellschaft Ludwigslust-Parchim mbH, Nahbus GmbH (Nordwestmecklenburg), Stadtverkehr Schwerin GmbH Network of foot and bike paths: Processed by TUHH (gradients, speeds); based on OpenStreetMap (OSM 2019) and SRTM height data (SRTM 2000) Road network: Processed by TUHH; based on Openstreetmap (OSM 2019) Jobs: Nexiga Geodata GmbH (2017)