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Revealing Social Values by 3D City Visualization in City Transformations
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Industriellt och hållbart byggande.
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Arbetsvetenskap.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Industriellt och hållbart byggande.ORCID-id: 0000-0002-5661-5237
Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Arbetsvetenskap.
2016 (engelsk)Inngår i: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 8, nr 2, artikkel-id 195Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Social sustainability is a widely used concept in urban planning research and practice. However, knowledge of spatial distributions of social values and aspects of social sustainability is required. Visualization of these distributions is also highly valuable, but challenging, and rarely attempted in sparsely populated urban environments in rural areas. This article presents a method that highlights social values in spatial models through 3D visualization, describes the methodology to generate the models, and discusses potential applications. The models were created using survey, building, infrastructure and demographic data for Gällivare, Sweden, a small city facing major transformation due to mining subsidence. It provides an example of how 3D models of important social sustainability indices can be designed to display citizens’ attitudes regarding their financial status, the built environment, social inclusion and welfare services. The models helped identify spatial variations in perceptions of the built environment that correlate (inter alia) with closeness to certain locations, gender and distances to public buildings. Potential uses of the model for supporting efforts by practitioners, researchers and citizens to visualize and understand social values in similar urban environments are discussed, together with ethical issues (particularly regarding degrees of anonymity) concerning its wider use for inclusive planning.

sted, utgiver, år, opplag, sider
2016. Vol. 8, nr 2, artikkel-id 195
HSV kategori
Forskningsprogram
Byggproduktion; Arbetsvetenskap; Industriell produktionsmiljö
Identifikatorer
URN: urn:nbn:se:ltu:diva-10350DOI: 10.3390/su8020195ISI: 000371830100046Scopus ID: 2-s2.0-84960351433Lokal ID: 9253210a-49aa-4de9-bb5e-eec078352842OAI: oai:DiVA.org:ltu-10350DiVA, id: diva2:983292
Merknad

Validerad; 2016; Nivå 2; 20160223 (andbra)

Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2018-07-10bibliografisk kontrollert
Inngår i avhandling
1. PERFORMANCE VISUALIZATION OF URBAN SYSTEMS
Åpne denne publikasjonen i ny fane eller vindu >>PERFORMANCE VISUALIZATION OF URBAN SYSTEMS
2017 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

The planning, construction, management and use of our built environment are affected by diverse social, economic and environmental factors. Sustainable urban development is dependent on the understanding of the complex relations between the built environment, the social activities that take place over time and the interaction with the natural environment. The challenge to understand urban systems on both the local and global scale has inspired researchers and national agencies to develop sustainability indicators to support the planning, construction, management and use of the built environment. Access to open data of our built environment in national, regional and local databases opens new possibilities to generate models of our urban systems to facilitate visualization and analysis of indicators in order to enhance awareness of sustainability dimensions. Here spatial Extract, Transform and Load (ETL) technologies can be used in combination with Geographic Information system GIS to manage data sets from multiple sources in different formats. The purpose of this research is to investigate how spatial ETL technologies can be used to develop models in order to analyse and visualize the performance of urban systems. The applied method is grounded in system development and based on an abductive research approach that was repeated in six studies. Three of the studies deal with the relocation of Kiruna where models of the city was created and used to investigate the impact of mining subsidence on energy supply, infrastructure and buildings. The fourth case investigates the selection of insulation material on the embedded energy in a passive house in Kiruna. In the fifth case an urban model of the twin towns Malmberget/Gällivare was created to explore and relate data on attitudes from a survey to public data on population, infrastructure and built environment. The final case is the development of an energy atlas containing 90% of the multifamily building stock in Sweden. The atlas combines the energy performance and renovation status of multifamily buildings with public data of ownership, income of residents etc. for individual buildings in 3D models or aggregated on spatial scales ranging from 250x250 m squares through district and municipality to county areas in Sweden. The result shows that multiple sources in different formats, both standardized and non-standardized, can be utilized in the extraction of information for the purpose of developing urban performance models. The Swedish high-resolution LiDAR digital height model together property information makes it possible to represent the built environment by extruded footprints to give a 3D representation of all urban areas in Sweden (Level-Of-Detail 1). In combination with performance data (e.g. energy use, renovation status or result from surveys) urban performance GIS models can be created and visualized in applications (such as Google Earth, 3D pdf) to support decision-making on both individual and institutional level. The automation of the process to develop performance models offers a method for customizing information deliveries on the fly using original data sources according to defined requirements. The flexibility and customization are kept in the process rather than in the delivered model. This makes it easier to keep the performance model up to date. For the management of large performance models, e.g. the example of the national energy atlas, a staging phase was added in the automation process, in order to reduce the processing time.

sted, utgiver, år, opplag, sider
Luleå: Luleå University of Technology, 2017. s. 170
Serie
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
HSV kategori
Forskningsprogram
Byggproduktion
Identifikatorer
urn:nbn:se:ltu:diva-61788 (URN)978-91-7583-814-4 (ISBN)978-91-7583-815-1 (ISBN)
Disputas
2017-03-30, F231, Luleå tekniska universitet, Luleå, 10:00 (engelsk)
Tilgjengelig fra: 2017-02-09 Laget: 2017-02-02 Sist oppdatert: 2017-11-24bibliografisk kontrollert

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