Open Data Forum at Johanneberg Science Park
12 June 2018 - Published by Marie Chloe Tarp
On 2 May, 2018, JSP hosted another Open Data Forum.
JSP's Open Data Forum is a series of workshops inviting both citizens and companies to learn and ask questions about digitalization and Open Data. This time, the focus of the workshop was Mobility.
Here is a summary of the day:
"How open data can create mobility solutions? "
This year’s first workshop about open data attracted over 50 people to Johanneberg Science Park on the 2nd of May. In addition to creative work on mobility, participants also received two really exciting news on the mobility front.
Last year, the city of Gothenburg, in cooperation with Johanneberg Science Park and within the framework of the EU project SCORE, launched a series of workshops focusing on open data. This year, the focus will continue to be twofold: To educate and inform citizens about the regional opportunities with open data, and to support operators to create smart solutions using open data.
This year’s first workshop focused on mobility, which was illustrated by, among other things, waste trucks that also serve as childbike distributors as well as underwater buses that fill double function in the form of classrooms. The one who highlighted these examples was Kim Lantto at the Consumer and Citizenship Service in Gothenburg, and his entire presentation on mobility is featured in a small movie (only in Swedish)
The day was initiated by Anders Frick (analyst focusing on IoT and former journalist), who held a quick course in open data. In addition to tips from the “Open Data - A Guide to Decision Makers
” report, several examples of collected data in the form of the air quality measurement site (luftdata.se
) and the temperature range (temperatur.nu
) were presented.
Prior to the WS, Malin Stoldt gave some examples of digital services created based on open data from the Traffic Office in Gothenburg city. She presented the Gothenburg version of trafiken.nu
and informed that within a short time, the mobile app Cykelstaden
that visualizes disturbances and obstacles on pedestrian and cycle tracks will be available.
s CEO, Lars Backström, held also a presentation about Västtrafik’s brand new collaboration with the Parking Company
in Gothenburg. The collaboration is based on the fact that selected drivers during a testperiod are given the opportunity to purchase their public transport ticket directly from the app Parkering Göteborg
. It might seem as a smal step but according to Lars Backström, it illustrates very clearly what direction Västtrafik and other Swedish public transport companies are about to create i.e. creating APIs for transaction data, which opens for 3rd players to become ”reseller” of tickets.
Torvald Asplund, Project Manager for Trafik Göteborg
informed us about Swedish Transport Administration’s APIs
and activities that deal with disturbances in the Gothenburg area. In addition, he gave several examples of what social benefits have already been created using the Swedish Transport Administration’s open data (Trafikverket).
During the workshop a four-step model, developed by the British innovation organization Nesta was used. The model contains the following four elements: identify the needs, define who / where / when, define a data product, and describe what data is needed to achieve all above.
Some of the suggestions on data products that came out during the WS, were:
• 3D data that show how buildings looked like i.e. 500 years ago
• Pedestrian density on map
• Absolutely quiet places within a certain radius
• App with i.e. events, weather, traffic, parking spaces
• Residential parking solutions showing parking vacancies
Data required for the suggestions above:
• Persons’ flows similar to today’s vehicle flows
• Real-time data for parking and charging stations
• Number of people on a bus
• Output flows of people, i.e. at the Swedish Fair Building and/or Liseberg Amusement Park
• Amount of cyclists on bike track
• Train and tram data
• Data from public bike pools ”Styr & Ställ”
• Car rental data from carpools i.e. Sunfleet, Move About
• Data on respective means of transport