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Implementing Smart Urban Metabolism in the Stockholm Royal Seaport: Smart City SRS
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: 0000-0002-2955-060X
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.ORCID iD: 0000-0003-4938-8862
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2015 (English)In: Journal of Industrial Ecology, ISSN 1088-1980, E-ISSN 1530-9290, Vol. 19, no 5, p. 917-929Article in journal (Refereed) Published
Abstract [en]

For half a century, system scientists have relied on urban metabolism (UM) as a pragmatic framework to support the needed transition toward sustainable urban development. It has been suggested that information and communication technology (ICT) and, more specifically, smart cities can be leveraged in this transition. Given the recent advances in smart cities, smart urban metabolism (SUM) is considered a technology-enabled evolution of the UM framework, overcoming some of its current limitations. Most significantly, the SUM framework works at high temporal (up to real-time) and spatial (down to household/individual) resolutions. This article presents the first implementation of SUM in the Smart City Stockholm Royal Seaport R&D project; it further analyzes barriers and discusses the potential long-term implications of the findings. Four key performance indicators (KPIs) are generated in real time based on the integration of heterogeneous, real-time data sources. These are kilowatt-hours per square meter, carbon dioxide equivalents per capita, kilowatt-hours of primary energy per capita, and share of renewables percentage. These KPIs are fed back on three levels (household, building, and district) on four interfaces, developed for different audiences. The most challenging barrier identified was accessing and integrating siloed data from the different data owners (utilities, building owners, and so forth). It is hard to overcome unless a significant value is perceived. A number of long-term opportunities were described in the SUM context; among those, it is envisioned that SUM could enable a new understanding of the causalities that govern urbanism and allow citizens and city officials to receive feedback on the system consequences of their choices.

Place, publisher, year, edition, pages
John Wiley & Sons, 2015. Vol. 19, no 5, p. 917-929
Keywords [en]
augmented reality, big data, industrial ecology, smart cities, sustainable city, urban metabolism
National Category
Environmental Engineering
Identifiers
URN: urn:nbn:se:kth:diva-172653DOI: 10.1111/jiec.12308ISI: 000363267800020Scopus ID: 2-s2.0-84949537790OAI: oai:DiVA.org:kth-172653DiVA, id: diva2:849066
Note

QC 20151113

Available from: 2015-08-27 Created: 2015-08-27 Last updated: 2024-03-18Bibliographically 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. p. xiii, 73
Series
TRITA-IM, ISSN 1402-7615 ; 2015:01
Keywords
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: 2023-12-07Bibliographically approved
2. Evaluation of Sustainable Urban District Developments: The case of Stockholm Royal Seaport
Open this publication in new window or tab >>Evaluation of Sustainable Urban District Developments: The case of Stockholm Royal Seaport
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Urban sustainable development is now seen as one of the keys in the quest for a sustainable world and increased interest in developing sustainable urban districts has become an important feature of urban sustainability. However, if cities and their districts are to be part of this transition, it will be necessary to determine the state and progress of urban developments. Evaluation and follow-up activities must therefore be an integral part of modern sustainability work.

This thesis investigated evaluation methods and strategies for determining progress towards sustainable urban district development. The Stockholm Royal Seaport district in Sweden was used as the research arena in studies based on urban metabolism theories, including a single case study approach, focus group interviews, the Framework for Strategic Sustainable Development and quantitative data analysis. The thesis main results can be summarised as follows.

A structured frame for use in theory and practice can strengthen programme development and minimise the risk of built-in problems in environmental and sustainability plans for new urban districts. The proposed evaluation model for Stockholm Royal Seaport displayed strengths regarding core evaluation activities, such as communicating a strong vision and recognising continuity in the evaluation process. It displayed weaknesses as regards organisational structure and system boundaries.

 The proof-of-concept implementation of a Smart Urban Metabolism framework enabled real-time evaluation data on district scale to be generated and processed. The implementation process also led to identification of limitations in the framework, such as access to business sensitive data, failed integration of data streams and privacy concerns. Dynamic, high-resolution meter data can provide a higher degree of transparency in evaluation results and permit inclusion of all stakeholder groups in urban districts. The frequently used energy performance indicator kWh/m2 (Atemp) was shown to be an insufficient communication tool to mediate knowledge, due to conflation of consumption and construction parameters and the need for prior knowledge for full understanding.

Place, publisher, year, edition, pages
STOCKHOLM: KTH Royal Institute of Technology, 2018. p. 74
Series
TRITA-ABE-DLT ; 1838
Keywords
Evaluation, Follow-up, Sustainable urban development, Sustainable districts
National Category
Other Civil Engineering
Research subject
Industrial Ecology
Identifiers
urn:nbn:se:kth:diva-239444 (URN)978-91-7873-036-0 (ISBN)
Public defence
2018-12-14, Kollegiesalen, Brinellvägen 8, Stockholm, 09:15 (English)
Opponent
Supervisors
Note

QC 20181123

Available from: 2018-11-23 Created: 2018-11-23 Last updated: 2022-06-26Bibliographically approved

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Shahrokni, HosseinÅrman, LouiseLazarevic, DavidNilsson, AndersBrandt, Nils

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