Centralized participation plattform
Collecting data about parking occupancy
Opponents of street transformation often claim, that there are to little parking possibilities. But is that true? Evidence in Ljubljana showed that the city has rather a problem with how parking space is unevenly occupied. The urban design studio prostorož suggested the following steps to collect data about parking space occupancy.
- define the area of observation (street / block / neighbourhood)
- prepare the site plan of all the parking spots you will observe / have access to, regardless of ownership
- set a hypothesis (e.g. parking is occupied by employees, not generating income for local shops)
- create an observation plan: check occupancy one Wednesday and Saturday; and granular occupancy of observed parking lots every 2 hours, starting from 5 AM to 12:00 PM
- graphically present data and interpret results
Low effort survey in public space
The picture stems from Ljubljana, where the urban design studio prostorož set up benches in public space. They attached a QR-Code, where people could vote if they wanted this bench to stay. In a short period of time about 400 people voted, that they would like the bench to stay because they frequently use it. On this basis prostorož talked to the people in charge of that area. The survey was enough evidence for them to let the benches stay! What a success!
In case this inspires you to take action: Make sure that the QR-code is made out of solid material, that endures the time you want the survey to last. The tool material link will lead you to a website where different survey tools are offered, a lot of them without additional costs.
Mapping and analysing facades
"We need parking space otherwise our shops will die!" This is an argument often brought forward by opponents of street transformation. The urban design studio prostorož confronted this claim with evidence. They analysed the facades of the street by the following categories: Lively facade, active facade, monument, empty facade, unremarkable facade. They could show that a lot of the ground floor was at that point in time not occupied.
prostorož combined this analysis with analysing parking place occupancy and human behaviour to build an even stronger argument: A street full of cars is not helping shops at the moment. By combining all these analysis they managed to convince the decision makers to give that street a human friendly makeover!
Measuring the speed of public transport
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?
Observing and visualising human behaviour in public space
