---
# System prepended metadata

title: Accessibility

---

# Accessibility

The indicator accessibility evaluates if everyday relevant routes can be covered utilizing sustainable transport modes. 

The indicator considers the inner-city accessibility of the most important urban functions, the connections to the suburbs, the commuter option and the connectivity to metropolitan areas in the region.

To provide a mode-neutral evaluation of transport modes in the context of sustainable mobility, a method was developed that focuses on rewarding option diversity in the choice of mobility. 

The accessibility of a given point of interest (POI) is estimated by the evaluation of the diversity and quality of available modal options to reach the POI.

The evaluation covers the quality of the connection by:
* motorised individual transport (MIT)
* public transport (PT)
* integration of MIT and PT through Park and Ride possibilities 
* Active mobility options (cycling and walking) if within reasonable distance. 

## Inner-city accessibility

Assessment of the accessibility quality of  urban functions on foot, by bike, by public transport and MIV.

![alt text](https://docs.google.com/drawings/d/e/2PACX-1vRqxDL7gWpvWlkyjqqRo_sMVR5MYXV_BW1A5LwbmVNWvfPX__YFeUZYLZTTNvyTBqfgx0q6j41MJa2-/pub?w=682&h=273)

*Source: HERE Routing API*

### times
The connections are evaluated for a number of times a day.

| Traffic              | Time  |
| -------------------- | ----- |
| Work traffic         | 8.00  |
| Noon traffic         | 12.00 |
| Closing time traffic | 17.00 |
| Evening traffic      | 20.00 |

The times are derived from a region weight course of traffic analysis with the HERE Traffic API 
![Upper Rhine Traffic](https://docs.google.com/drawings/d/e/2PACX-1vS1RxC9dvvrb2SbmkQVy_nKkPM_E2If_iD8mthD-WmLUrU8R7bUXeckumflJxc2bpDQVW4qTY2aGRMI/pub?w=525&h=261)
The Urban function categories are defined by the indicator of [functional diversity](https://colab.research.google.com/drive/1MXyTGjXA8lto3IvIOCHEIBcWjjxKNrow)

### Cumulative evaluation of sustainable mobility options

* Walkable
    * In walking distance
* PT quality
    * ?
* Bikeability
    * Bikeability Score
* Car
    * ?


### Methods

* First step is to divide the city area into cells of 1km * 1km. 
* Inside each cell all functions categories are identified.
* For each cell and category:
  * If category not in cell: (Not in walking distance)
    * Find nearest function of this category in the city
    * Evaluate connection quality of:
      * Public Transport
      * Bike
      * Car

#### Scoring

Still work in progress and needs to be discussed

### Data

* Basegrid - [EEA reference grid](https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-2)
* Population Density - [Census 2011](https://atlas.zensus2011.de/)
* Places data for the spatial functions - [HERE Places API](https://developer.here.com/documentation/places/topics/what-is.html)
* Qualität PT connection - [HERE PT API](https://developer.here.com/documentation/transit/topics/what-is.html)
* Qualität Car connection - [HERE Routint API](https://developer.here.com/documentation/routing/topics/what-is.html)
* Bike Routing and infrastructure - [OpenRouteService](https://maps.openrouteservice.org/directions?n1=49.409445&n2=8.692953&n3=13&b=0&k1=en-US&k2=km)

