Researching
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102: Small Neighbourhoods

Visualize existing data of the small sub-quarters to gain valuable insights about the participation of those residents

Original Challenge The goal is to visualize the existing data of the small sub-quarters in a way that they can be integrated or linked into/with the existing website. An example for this would be the representation on a dynamic map of the small quarters. The displayed data must always be up-to-date, shows changes and development and should therefore generate added value and information for the visitors of the website and for planning by neighbourhood organisations and the city.

Update 28.11.2020 During the hackdays, the hackers of this challenge visualized existing data of the small sub-quarters to gain valuable insights about the facts, needs and participation of the residents in those neighbourhoods. The hackers did so by using the business analytics tool Power BI to provide interactive visualizations and one can make its own analysis without any previous knowledge what is especially important when reaching all residents from a neighbourhood where not everyone has a technological affinity.

What did we find out What topics are especially important to the residents and how and where they would like to participate in discussions. Moreover, deeper insights about the values of the neighbourhood association Würzenbach and voting Participation, including demography details on the neighbourhood Würzenbach.

Next steps The insights and visualisation need to be integrated into the website to make the findings accessible to all residents. Moreover, a dynamic map of the small quarters should be created what is a need from the original challenge owner.

Our interactive dashboards

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Available Datasets • Statistical borders of small sub-quarters (https://webgis.stadtluzern.ch/WebOffice/synserver?project=admin_einteilung&user=guest&client=core) • Grade of Activation at Neighbourhood Association • Population Data 2014 – 2019 (Demographic) • Employer Data 2016 • Participation in Voting • Value Survey

Project link https://github.com/LinoSimoni/shapemycity

Participants Luca Cincera / Carmen Moreno / Lino Simoni / Marc Sprenger

Contact details Luca Cincera, luca.cincera@stud.hslu.ch Carmen Moreno, carmen.boehler@stud.hslu.ch Lino Simoni, lino.simoni@stud.hslu.ch Marc Sprenger, marc.sprenger@stud.hslu.ch

Pitch präsentation https://docs.google.com/presentation/d/e/2PACX-1vTEFsVtGKn4M3sMCHMefoHhiHulghhS469wC0Tv2Z_e77CZvWB6hfz64yEl6T6ESZsGCaAFngL2_7g-/pub?start=false&loop=false&delayms=3000

28.11.2020 18:00

Hackathon finished

28.11.2020 14:06

Documentation

Worked on by carmen_moreno

28.11.2020 10:31

Team forming

AR8 has joined

28.11.2020 09:46

Documentation

Worked on by carmen_moreno

28.11.2020 09:27

Team forming

carmen_moreno has joined

27.11.2020 09:00

Hackathon started

27.11.2020 08:08

Documentation

Worked on by andy_gubser

13.11.2020 08:36

Team forming

andy_gubser has joined

29.10.2020 15:54

Documentation

Worked on by ALiebrich

29.10.2020 15:46

Team forming

ALiebrich has joined

29.10.2020 15:46

Project started

Initialized by ALiebrich

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