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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.
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Organizations and authors

Finnish Environment Institute

Heikinheimo Vuokko Orcid -palvelun logo

Aalto University

Staffans Aija

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Urban planning

Volume

10

Article number

9234

​Publication forum

84763

​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