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Informed Urban EnvironmentsDecoding Cool Urban Forms: Using Open Data to Build a Dialogue Between Microclimate and Configurational Morphology in Urban Environments

Informed Urban Environments: Decoding Cool Urban Forms: Using Open Data to Build a Dialogue... [Cities are composed of a multitude of interconnected interactive layers and systems. The contemporary urban discourse has seen the utilization of Open data in decoding and understanding complex urban patterns that have eluded researchers for decades. Different layers of raw data from historical city cores up to the atmospheric climate have become more accessible, opening new horizons for multidisciplinary research. The rising complexity of cities calls for emerging approaches that can address the relationship between different layers of data—existing or emerging. In this regard, the current chapter is introducing and applying a methodology to use historical, spatial, and temporal datasets from Open Street Map (OSM) processed by Space Syntax superimposed on simulated urban microclimate dataset to find correlating patterns on how urban morphology has shaped the cities and the microenvironments over time. The outcomes for the case of Munich, illustrate the typologies that can be utilized in planning and developing design strategies to address micro-climate and accessibility in cities.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Informed Urban EnvironmentsDecoding Cool Urban Forms: Using Open Data to Build a Dialogue Between Microclimate and Configurational Morphology in Urban Environments

Part of the The Urban Book Series Book Series
Editors: Chokhachian, Ata; Hensel, Michael U.; Perini, Katia
Chokhachian, Ata; Iranmanesh, Aminreza
Informed Urban Environments — May 10, 2022
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18 pages

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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-031-03802-0
Pages
89 –107
DOI
10.1007/978-3-031-03803-7_6
Publisher site
See Chapter on Publisher Site

Abstract

[Cities are composed of a multitude of interconnected interactive layers and systems. The contemporary urban discourse has seen the utilization of Open data in decoding and understanding complex urban patterns that have eluded researchers for decades. Different layers of raw data from historical city cores up to the atmospheric climate have become more accessible, opening new horizons for multidisciplinary research. The rising complexity of cities calls for emerging approaches that can address the relationship between different layers of data—existing or emerging. In this regard, the current chapter is introducing and applying a methodology to use historical, spatial, and temporal datasets from Open Street Map (OSM) processed by Space Syntax superimposed on simulated urban microclimate dataset to find correlating patterns on how urban morphology has shaped the cities and the microenvironments over time. The outcomes for the case of Munich, illustrate the typologies that can be utilized in planning and developing design strategies to address micro-climate and accessibility in cities.]

Published: May 10, 2022

Keywords: Urban morphology; Urban climate; Space syntax; Microclimate; GIS

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