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|name=Measuring the speed of public transport | |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. 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. To produce solid evidence about the speed of public transport we suggest the following steps: | ||
To produce solid evidence about the speed of public transport 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) | ||
Latest revision as of 16:02, 3 June 2026
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. To produce solid evidence about the speed of public transport 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)
- Install an App that collects GPX-Tracks (data that links speed with location)
- Ride the busses according to your data collection plan
- 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)
- If everything works out the result should be maps like the ones you see here.
- Think about how you want to communicate the data: In a confidential setting or rather to a bigger audience?
With the right communication strategy, evidence about the speed of vehicles can change people's opinions about speed limits.
institutional
Personal and Social Beliefs
TML2
high
high
district
no
NGOs / local interest groups
Evidence
Vienna
deutsch