A Socio‐Spatial Extension of the Local Climate Zone Typology: Its Potential in Computational Planning Support Systems
Year of publication
2025
Authors
Votsis, Athanasios; Heikinheimo, Vuokko; Mikkola, Milla; Babushkina, Dina; Staffans, Aija; Merikoski, Tiina; Geertman, Stan
Abstract
Computational planning support systems (CPSS) have been invaluable for the transparent and rational planning of climate‐resilient cities as they help clarify and optimise the trade‐offs between alternative choices. CPSS have shown great promise also as digital design boards for the co‐creation of new solutions. However, both as a tool and a theoretical stance to spatial planning, CPSS have suffered from top‐down representations of urban space. Bottom‐up, collective, and subjective processes essential for sustainable and climate‐resilient urbanism are often left unaccounted for. This article introduces one possible solution to this gap, namely structuring the information flows of CPSS according to the local climate zone framework, enriched with urban commons information. We illustrate our approach with data from the 29 largest Finnish municipalities. We combine OpenStreetMap and demographic information with local climate zone data to produce a socio‐spatially extended local climate zone typology of Finnish urban forms. The results delineate a Nordic angle to sustainable spatial planning—green and sparse, somewhat compact and mixed, but not comprehensively so, built environments—allowing a juxtaposition with normative ideas about sustainable cities. We furthermore propose a co‐design workflow that is based on our typology. The main practical applications of our work include vulnerability mapping and integrated impact assessment, multimodal communication of computer model output, and computationally‐assisted co‐design of built environments with a variety of stakeholders.
Show moreOrganizations and authors
Aalto University
Staffans Aija
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal/Series
Publisher
Volume
10
Article number
9234
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
License of the publisher’s version
CC BY
Self-archived
Yes
Other information
Fields of science
Computer and information sciences; Social and economic geography
Keywords
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Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
Yes
DOI
10.17645/up.9234
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes