karin hansson: an e-participatory map over process methods in urban planning
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Karin Hansson, Love Ekenberg, Göran Cars, Mats Danielson Department of Computer and System Science, Stockholm University
An e-participatory map over process methods in urban planning
Overview
• Background • Theory • Cases of participatory processes in urban
planning • An e-participatory map
• Conclusion and future development
23.05.13 / Karin Hansson, [email protected] Department of Computer and System Science
Research team Karin Hansson, PhD student at Stockholm University & Royal Institute of Art Love Ekenberg, Professor in Computer and Systems Sciences at Stockholm University Göran Cars, Professor in Urban Planning at KTH, Royal Institute of Technology Mats Danielson, Professor in Computer and Systems Sciences at Stockholm University + 1 social scientists, 15 artists,2 programmers,4 partners
23.05.13 / Karin Hansson, [email protected] Department of Computer and System Science
Problems
• Contradictory or exaggerated expectations • Lack of discussion of the concepts of democracy • Lack of common language
• Technical determinism
• Lack of in-depth knowledge of citizen as e-participant
23.05.13 / Karin Hansson, [email protected] Department of Computer and System Science
Aim
• Support interdisciplinarity in the field of e-participation by establishing a general theory
• Provide means of visualising differences and clarifying representativeness in the participatory process.
23.05.13 / Karin Hansson, [email protected] Department of Computer and System Science
Method
To compare the planning processes and the methods used in eight urban development projects in which members of our research team have been actively involved as a researchers. The projects are not primarily “e”
The aim is to understand participation, and to discuss how ICT could be used to support.
23.05.13 / Karin Hansson, [email protected] Department of Computer and System Science
Democracy: beyond the state
When those affected by the decision-making also are involved in the decision-making.
• Agenda: How and by whom are problem defined?
• Participant: Who is part of the “state”?
• Method: How is participation enabled?
23.05.13 / Karin Hansson, [email protected], Department of Computer and System Science
Nacka Örebro water
Upplands Väsby
Husby
Högalid
Stockholm Central station
Muskö Eco Village
Stockholm transport
ICT supported mul/-‐criteria, mul/-‐stakeholder decision analysis III Surveys II Itera/ve dialogue process / Chare=e II Moderated dialogues with stakeholders II Town mee/ngs II Exhibi/ons II Online tools like blogs, twi=er and social media I
Örebro Water
AGENDA: Set
• Problem defined by experts
Muskö eco village
AGENDA: Develops
• Takes place in local-global public sphere • Initiated by NGO
Husby urban development
AGENDA: Dominated
• Takes place in a public sphere • Local counter-public
Agenda Participants Method
Case Set Develops Dominate All Active Diverse Info Discuss Visualize
Nacka Set
Water Set Develops
Transport
Set
Muskö Develops
Station Set
Högalid Set Dev
Husby Set
UV Develops 23.05.13 / Karin Hansson, [email protected] Department of Computer and System Science
Upplands Väsby urban development
PARTICIPANTS: All
• Residents today or tomorrow? • Local residents or everyone affected?
PARTICIPANTS: All or active
• All affected by the new village • Active in the planning process
Muskö eco village
Husby urban development
PARTICIPANTS: Diverse
• Diverse opportunities to participate • Local youth as ambassadors
Agenda Participants Method
Case Set Develops Dominate All Active Diverse Info Discuss Visualize
Nacka Set
Water Set Develops
Transport
Set
Muskö Develops
Station Set
Högalid Set Dev
Husby Set
UV Develops 23.05.13 / Karin Hansson, [email protected] Department of Computer and System Science
Nacka
Method: Information
• Give people access to relevant information • Multi-criteria, multi-stakeholder decision analysis
Husby urban development
Method: Discussion
• Town meetings, exhibitions, workshops • ICT supports counter-publics
Husby urban development
Method: Visualization
• Need for methods that visualize and clarify the lack of representativeness in the data
Result
Agenda Participants Method
Case Set Develops Dominate All Active Diverse Info Discuss Visualize
Nacka Set
Water Set Develops
Transport
Set
Muskö Develops
Station Set
Högalid Set Dev
Husby Set
UV Develops 23.05.13 / Karin Hansson, [email protected] Department of Computer and System Science
An e-participatory map
PARTICIPANTS
AGEN
DA
Representative Active Non representative
Dominated
Develops
Set
METHOD
Service
M
oderate
Visu
alize
23.05.13 / Karin Hansson, [email protected] Department of Computer and System Science
Conclusion
Lack of methods to visualize representation
The e-participatory map:
• Sort out the project team's expectations
• Define common concepts
• Useful when mixing participatory methods
• Puts ICT in a wider participatory framework
• Clarify the process for participants
23.05.13 / Karin Hansson, [email protected] Department of Computer and System Science
Future development
23.05.13 / Karin Hansson, [email protected] Department of Computer and System Science
PARTICIPANTS
AGEN
DA
Representative Active Non representative
Dominated
Develops
Set
METHOD
Service
M
oderate
Visu
alize