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{{semorg-toolbox
{{semorg-toolbox
|name=Measuring the speed of buses
|name=Measuring the speed of public transport
|description=We can’t reduce the speed limit on this road because the busses would loose time!“ This or similar arguments may come up in discussions about street transformations. Maybe with your local knowledge you think: „Because of the frequent stops, the local busses don’t go beyond 30 km/h anyways.“ In those situations, it can help to bring evidence for your argument into the discussion. For example by measuring the speed of busses. Think in advance how to make your data collection as valid as possible within your ressources.  
|description="We can’t reduce the speed limit on this road because the busses would loose time!“ This or similar arguments may come up in discussions about street transformations. In those situations, it can help to bring evidence into the discussion. For example by measuring the speed of busses. Think in advance how to make your data collection as valid as possible within your ressources. To produce solid evidence about the speed of public transport we suggest the following steps:
 
To produce evidence about the speed of vehicles we suggest the following steps:
# Make a plan how you will collect your data: What do you want to measure (one busline in both directions between bus stop X and Y), when (on peak/off peak, which days) and how often (how many times per day)
# Make a plan how you will collect your data: What do you want to measure (one busline in both directions between bus stop X and Y), when (on peak/off peak, which days) and how often (how many times per day)
# Install an App that collects GPX-Tracks (data that links speed with location)
# Install an App that collects GPX-Tracks (data that links speed with location)
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|lock-in-layers=institutional
|lock-in-layers=institutional
|lock-in-cluster=Personal and Social Beliefs
|lock-in-cluster=Personal and Social Beliefs
|challenges=Slow bureaucratic processes
|tool-maturity-level=TML2
|tool-maturity-level=TML2
|link-information=https://plugins.qgis.org/plugins/GpxSegmentImporter/#plugin-about
|link-information=https://plugins.qgis.org/plugins/GpxSegmentImporter/#plugin-about
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|spatial-context=district
|spatial-context=district
|spatial-limitation=no
|spatial-limitation=no
|target-group=NGOs / local interest groups
|visualisation=Bussmessung.jpg
|visualisation=Bussmessung.jpg
|visualisation-author=Tobias Haider
|tool-type=Evidence
|tool-type=Evidence
|toolbox-user-types=NGOs/ local interest groups
|lll=Vienna
|lll=Vienna
|language=deutsch
|language=deutsch
|target-group=NGOs / local interest groups
}}
}}

Latest revision as of 09:29, 21 July 2026

TOOL
Measuring the speed of public transport
Short description

"We can’t reduce the speed limit on this road because the busses would loose time!“ This or similar arguments may come up in discussions about street transformations. In those situations, it can help to bring evidence into the discussion. For example by measuring the speed of busses. Think in advance how to make your data collection as valid as possible within your ressources. To produce solid evidence about the speed of public transport we suggest the following steps:

  1. Make a plan how you will collect your data: What do you want to measure (one busline in both directions between bus stop X and Y), when (on peak/off peak, which days) and how often (how many times per day)
  2. Install an App that collects GPX-Tracks (data that links speed with location)
  3. Ride the busses according to your data collection plan
  4. Find someone who knows how to use QGIS (open source program for making maps) and install the plug-in for GPX Segment importer (https://plugins.qgis.org/plugins/GpxSegmentImporter/#plugin-about)
  5. If everything works out the result should be maps like the ones you see here.
  6. Think about how you want to communicate the data: In a confidential setting or rather to a bigger audience?
Unlock-hypothesis

With the right communication strategy, evidence about the speed of vehicles can change people's opinions about speed limits.

Lock-in Layers

institutional

Lock-in Cluster

Personal and Social Beliefs

Challenges

Slow bureaucratic processes

Link for further information about the tool
Level of effort for application

high

Skill level needed for application

high

Suitable spatial context

district

Spatial limitation

no

Visualisation

Author/Licence: Tobias Haider

Tool type

Evidence

Toolbox user types

NGOs/ local interest groups

LLL-Application

Vienna

Languages

deutsch