MRH Accessibility Analysis for Education

Description

The maps show the fastest accessible school with different means of transport based on an inhabited 100-meter grid and a nationwide 500-meter grid. All public schools in the areas of “primary school” (n = 969), “secondary school” (n = 612) and “upper school” (n = 366) are taken into account. Schools that make it possible to obtain a higher education qualification are also assigned to secondary schools. In the field of higher education, only the 23 public institutions with at least 500 students are considered. Branch offices are only considered if they are regularly approached by at least 500 students. Opportunities are also provided within a buffer of 20 kilometers around the MRH to avoid edge effects. Comments: When calculating the nearest school/university, no territorial units such as federal states, counties or school districts are taken into account. In this respect, the nearest school is always indicated. In long-distance transport, only the journeys on the railway lines from Hamburg to Berlin and Rostock are taken into account in order to do justice to the high importance of the stops in Schwerin and Ludwigslust. Flexible offers (AST, call buses, etc.) are only taken into account if they are included in the electronic timetable information. Calculation of travel times: The travel times and distances in car, foot and bicycle traffic are based on a detailed route network based on OpenStreetMap (OSM). Travel times in passenger car traffic are based on road loads typical of rush hour traffic. In passenger car traffic, surcharges for parking search traffic, set-up and dismantling times as well as connections are also calculated depending on the area type. These are based on the guidelines for integrated network design RIN R1 (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 2018/2019. Only the timetables between 6 a.m. and 8 a.m. for the schools and between 9 a.m. and 12 noon for the universities are taken into account. The travel time also includes walking times to and from the stop as well as a waiting time at the start stop. The transfer frequency corresponds to the necessary transfers on the fastest connection. The number of connections indicates the frequency of travel between 6 a.m. and 8 a.m. and between 9 a.m. and 12 noon. In private transport by car, bike or on foot, a maximum travel time of 60 minutes is assumed. This travel time by public transport is a maximum of 120 minutes. In these two hours, the walking times to stops and all waiting times are already included. Information on the values: The value “999” is a wildcard and means that no connection has been found considering the search criteria. The value “111” is a placeholder in public transport and means that the fastest connection is a walking distance. This is the case if the grid cell and the target device are assigned to the same stop. Sources: Timetable data: (Annual timetable 2019): Processed by TUHH; Deutsche Bahn AG, Verkehrsgesellschaft Ludwigslust-Parchim mbH, Nahbus GmbH (Nordwestmecklenburg), Nahverkehr Schwerin GmbH Network of footpaths and cycle paths: Processed by TUHH (gradients, speeds); based on OpenStreetMap (OSM 2019) and SRTM elevation data (SRTM 2000) Road network: Processed by TUHH; based on Openstreetmap (OSM 2019) Schools: Nord Statistics Office (2019), OpenStreetMap (2019), Landkreis Harburg (2019), LGV (2019), GDI-MV (2019) Universities: TUHH (2019)

Resources

Name Format Description Link
0 https://geodienste.hamburg.de/download?url=https://geodienste.hamburg.de/MRH_WFS_Erreichbarkeitsanalysen_Bildung&f=csv
0 https://geodienste.hamburg.de/download?url=https://geodienste.hamburg.de/MRH_WFS_Erreichbarkeitsanalysen_Bildung&f=json
0 https://geodienste.hamburg.de/MRH_WMS_Erreichbarkeitsanalysen_Bildung?SERVICE=WMS&REQUEST=GetCapabilities
0 https://geodienste.hamburg.de/MRH_WFS_Erreichbarkeitsanalysen_Bildung?SERVICE=WFS&REQUEST=GetCapabilities
0 https://daten-hamburg.de/zz_sonstiges/MRH/erreichbarkeitsanalysen/erreichbarkeitsanalysen_bildung_MRH_2019-11-11.zip

Tags

  • analysen
  • erreichbarkeit
  • gymnasium
  • entfernungen
  • weiterführende-schule
  • grundschulen
  • gdimrh
  • tran
  • förderschule
  • metropolregion
  • mrh
  • oberstufe
  • hochschule
  • zeiten
  • auswertungen

Topics

  • ENVI

Categories