header:
tab: Intro
title: Accessibility Overview
description: General Overview of Accessibility Calculations
layout:
info:
- type: text
width: 3.0
backgroundColor: transparent
content: |
### Econometric Accessibility
Accessibility quantifies how easily people can access opportunities; accessibility depends on (1) land-use (e.g. distribution of opportunities), (2) transport system, (3) individual (sociodemographic) characteristics and (4) temporal characteristics.
The Econometric accessibility of a measuring point $l$ to a set of opportunities K is defined as
$$A_l := ln \sum_ke^{V_{lk}}.$$
We do this calculation separately for each mode of transport (see tabs on left sidebar). For each mode, we further show accessibility to different opportunity types (see subtabs).
- type: text
width: 1.0
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content: |
### Corresponding Author
Jakob Rehmann
Research Associate
rehmann@vsp.tu-berlin.de
Technische Universität Berlin
Transportation System Planning and Telematics
http://tu.berlin/vsp
population:
- type: hexagons
title: Households
description: Shows households
file: analysis/accessibility/persons.csv
projection: EPSG:25832
center:
- 11.95
- 48.902
aggregations:
Home:
- title: Origins
x: home_x
"y": home_y
- type: map
title: "POIs: train_station"
description: Shows points of interest of type train_station
center:
- 11.95
- 48.902
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lineColor: {}
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shapes: analysis/accessibility/train_station/pois.shp
datasets: {}
pois:
- type: map
title: "POIs: supermarket"
description: Shows points of interest of type supermarket
center:
- 11.95
- 48.902
display:
lineWidth: {}
lineColor: {}
fill:
fixedColors:
- "#f28e2c"
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shapes: analysis/accessibility/supermarket/pois.shp
datasets: {}
- type: map
title: "POIs: logistic"
description: Shows points of interest of type logistic
center:
- 11.95
- 48.902
display:
lineWidth: {}
lineColor: {}
fill:
fixedColors:
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shapes: analysis/accessibility/logistic/pois.shp
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