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Development of 4D public participation GIS to improve communication of city transformation processes
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.
Department of Construction Management and Engineering, University of Twente.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.ORCID iD: 0000-0002-5661-5237
2012 (English)In: Construction Research Congress 2012: Construction challenges in a flat world : proceedings of the 2012 Construction Research Congress, May 21-23, 2012, West Lafayette, Indiana / [ed] Hubo Cai, Reaston, Va.: American Society of Civil Engineers (ASCE), 2012, 1242-1251 p.Conference paper, Published paper (Refereed)
Abstract [en]

Based on a case study of the city transformation of Kiruna we concluded that the information about the urban planning processes; (1) was scattered and hard to understand and (2) not communicated properly for the public to be able to participate. Here public participation geographical systems (PPGIS) and modeling of a project delivery timeline, also known as 4D, are possibilities to improve communication with stakeholders in urban planning and construction processes. As a result, we set up three requirements for the development of a 4D PPGIS communication platform. Firstly, time-space urban planning information must be available and understandable for the citizens to comprehend. Secondly, the communication platform must support two-way asynchronous communication for collecting public opinions and proposals. Finally, the user interface, operations and management of the platform must engage citizens to participate in the urban planning process. An experimental 4D PPGIS based on Google Earth and Facebook services was developed to visualize geo-referenced past, current and future urban activities and support public discussions regarding planning proposals. The prototype is currently being evaluated in the first iterative cycle of the information system development method

Place, publisher, year, edition, pages
Reaston, Va.: American Society of Civil Engineers (ASCE), 2012. 1242-1251 p.
National Category
Construction Management
Research subject
Construction Engineering and Management
Identifiers
URN: urn:nbn:se:ltu:diva-38832DOI: 10.1061/9780784412329.125Local ID: d589e2f1-c496-467d-b0fb-062c96c23fa7ISBN: 9780784412329 (electronic)OAI: oai:DiVA.org:ltu-38832DiVA: diva2:1012333
Conference
Construction Research Congress : 21/05/2012 - 23/05/2012
Note
Godkänd; 2012; 20120926 (andbra)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-10-19Bibliographically approved
In thesis
1. PERFORMANCE VISUALIZATION OF URBAN SYSTEMS
Open this publication in new window or tab >>PERFORMANCE VISUALIZATION OF URBAN SYSTEMS
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
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.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2017. 170 p.
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Environmental Analysis and Construction Information Technology Construction Management
Research subject
Construction Engineering and Management
Identifiers
urn:nbn:se:ltu:diva-61788 (URN)978-91-7583-814-4 (ISBN)978-91-7583-815-1 (ISBN)
Public defence
2017-03-30, F231, Luleå tekniska universitet, Luleå, 10:00 (English)
Available from: 2017-02-09 Created: 2017-02-02 Last updated: 2017-04-05Bibliographically approved

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