Liquid planning, wiki-design—Learning from the Case Pispala

Jenni Partanen

Environment and Planning B: Urban Analytics and City Science2016https://doi.org/10.1177/0265813516647965article
ABDC A*
Weight
0.56

Abstract

As the key aspects of theories of complex systems have been established, the premises for academic research on planning and on planning praxis still necessitates the development of novel planning tools and approaches to address inevitable urban self-organizing transformations. We have accepted that cities emerge from bottom up. However, planning methods simulating this emergence are still limited. Progress has been made in recent decades and many systemic, evolutionary, and computing based planning approaches have been proposed. The work here builds on these premises. Network theoretical, computational, and democracy discourses have proposed proxy or liquid approaches as for genuinely democratic forms of decision-making. More importantly, they enable information organization from bottom up in a digital platform. This process actually follows the very principles of self-organization of information in information or cognitive sciences: entropy decreases as the “bits” of information self-organize into coherent classes. These principles are also applicable in bottom-up planning. Hence, and to bring this discourse closer to the planning realm, I compared the conceptualized structures of Liquid Democracy, SIRN cognitive model and prior self-organizing planning proposals in a bottom-up planning experiment in Pispala neighborhood, Tampere, Finland. I evaluated its capacity for self-organization of information and hypothesized that the case provides a frame for a new self-organizing planning method. Based on this evaluation a structure for a digitalized Liquid Planning procedure is suggested and discussed.

6 citations

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1177/0265813516647965

Or copy a formatted citation

@article{jenni2016,
  title        = {{Liquid planning, wiki-design—Learning from the Case Pispala}},
  author       = {Jenni Partanen},
  journal      = {Environment and Planning B: Urban Analytics and City Science},
  year         = {2016},
  doi          = {https://doi.org/https://doi.org/10.1177/0265813516647965},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Liquid planning, wiki-design—Learning from the Case Pispala

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.56

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.54 × 0.4 = 0.22
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.