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Revealing Social Values by 3D City Visualization in City Transformations

Author

Listed:
  • Tim Johansson

    (Construction Engineering and Management, Division of Industrialized and Sustainable Construction, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology (LTU), Luleå 97187, Sweden)

  • Eugenia Segerstedt

    (Industrial Work Environment, Division of Human Work Science, Department of Business Administration, Technology and Social Sciences, Luleå University of Technology (LTU), Luleå 97187, Sweden)

  • Thomas Olofsson

    (Construction Engineering and Management, Division of Industrialized and Sustainable Construction, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology (LTU), Luleå 97187, Sweden
    These authors contributed equally to this work.)

  • Mats Jakobsson

    (Industrial Work Environment, Division of Human Work Science, Department of Business Administration, Technology and Social Sciences, Luleå University of Technology (LTU), Luleå 97187, Sweden
    These authors contributed equally to this work.)

Abstract

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.

Suggested Citation

  • Tim Johansson & Eugenia Segerstedt & Thomas Olofsson & Mats Jakobsson, 2016. "Revealing Social Values by 3D City Visualization in City Transformations," Sustainability, MDPI, vol. 8(2), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:2:p:195-:d:64231
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    References listed on IDEAS

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    Cited by:

    1. Kai Li & Zhili Ma & Guozhou Zhang, 2019. "Evaluation of the Supply-Side Efficiency of China’s Real Estate Market: A Data Envelopment Analysis," Sustainability, MDPI, vol. 11(1), pages 1-18, January.
    2. Jamal Jokar Arsanjani & Eric Vaz, 2017. "Special Issue Editorial: Earth Observation and Geoinformation Technologies for Sustainable Development," Sustainability, MDPI, vol. 9(5), pages 1-5, May.
    3. Johansson, Tim & Olofsson, Thomas & Mangold, Mikael, 2017. "Development of an energy atlas for renovation of the multifamily building stock in Sweden," Applied Energy, Elsevier, vol. 203(C), pages 723-736.

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