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Smart Urban Metabolism: Towards a Real-Time Understanding of the Energy and Material Flows of a City and Its Citizens
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Industrial Ecology.ORCID iD: 0000-0003-2621-4253
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Industrial Ecology.ORCID iD: 0000-0002-9869-9707
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Industrial Ecology.
2015 (English)In: The Journal of urban technology, ISSN 1063-0732, E-ISSN 1466-1853, Vol. 22, no 1, 65-86 p.Article in journal (Refereed) Published
Abstract [en]

Urban metabolism is a concept employed to understand the flow of energy and materials through urban areas. However, applying this approach at the city level has been limited by the lack of data at this scale. This paper reviews the current application of the urban metabolism concept and proposes the concept of a “smart urban metabolism” (SUM). Through integrating ICT and smart-city technologies, the SUM model can provide real-time feedback on energy and material flows, from the level of the household to the urban district. This is highlighted through an example of its application in the Stockholm Royal Seaport, Sweden.

Place, publisher, year, edition, pages
2015. Vol. 22, no 1, 65-86 p.
Keyword [en]
ICT, material flow analysis, real-time, smart cities, urban metabolism
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-164525DOI: 10.1080/10630732.2014.954899ISI: 000353409600002Scopus ID: 2-s2.0-84928698773OAI: oai:DiVA.org:kth-164525DiVA: diva2:806022
Note

QC 20150417

Available from: 2015-04-17 Created: 2015-04-17 Last updated: 2017-12-04Bibliographically approved
In thesis
1. Smart Urban Metabolism: Toward a New Understanding of Causalities in Cities
Open this publication in new window or tab >>Smart Urban Metabolism: Toward a New Understanding of Causalities in Cities
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

For half a century, urban metabolism has been used to provide insights to support transitions to sustainable urban development (SUD). Internet and Communication Technology (ICT) has recently been recognized as a potential technology enabler to advance this transition. This thesis explored the potential for an ICT-enabled urban metabolism framework aimed at improving resource efficiency in urban areas by supporting decision-making processes. Three research objectives were identified: i) investigation of how the urban metabolism framework, aided by ICT, could be utilized to support decision-making processes; ii) development of an ICT platform that manages real-time, high spatial and temporal resolution urban metabolism data and evaluation of its implementation; and iii) identification of the potential for efficiency improvements through the use of resulting high spatial and temporal resolution urban metabolism data. The work to achieve these objectives was based on literature reviews, single-case study research in Stockholm, software engineering research, and big data analytics of resulting data. The evolved framework, Smart Urban Metabolism (SUM), enabled by the emerging context of smart cities, operates at higher temporal (up to real-time), and spatial (up to household/individual) data resolution. A key finding was that the new framework overcomes some of the barriers identified for the conventional urban metabolism framework. The results confirm that there are hidden urban patterns that may be uncovered by analyzing structured big urban data. Some of those patterns may lead to the identification of appropriate intervention measures for SUD.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2015. xiii, 73 p.
Series
TRITA-IM, ISSN 1402-7615 ; 2015:01
Keyword
industrial ecology, urban metabolism, smart cities, big data, data science
National Category
Other Environmental Engineering Environmental Analysis and Construction Information Technology
Research subject
Industrial Ecology
Identifiers
urn:nbn:se:kth:diva-176892 (URN)978-91-7595-737-1 (ISBN)
Public defence
2015-12-16, F3, Lindstedtsvägen 26, KTH, Stockholm, 14:00 (English)
Opponent
Supervisors
Projects
Smart City SRS
Funder
VINNOVA, 2012-01148
Note

QC 20151120

Available from: 2015-11-20 Created: 2015-11-11 Last updated: 2015-11-20Bibliographically approved

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Shahrokni, HosseinLazarevic, David

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