Visualization methods for sustainable planning

  • In urban planning, both measuring and communicating sustainability are among the most recent concerns. Therefore, the primary emphasis of this thesis concerns establishing metrics and visualization techniques in order to deal with indicators of sustainability. First, this thesis provides a novel approach for measuring and monitoring two indicators of sustainability - urban sprawl and carbon footprints – at the urban neighborhood scale. By designating different sectors of relevant carbon emissions as well as different household categories, this thesis provides detailed information about carbon emissions in order to estimate impacts of daily consumption decisions and travel behavior by household type. Regarding urban sprawl, a novel gridcell-based indicator model is established, based on different dimensions of urban sprawl. Second, this thesis presents a three-step-based visualization method, addressing predefined requirements for geovisualizations and visualizing those indicator results, introduced above. This surface-visualization combines advantages from both common GIS representation and three-dimensional representation techniques within the field of urban planning, and is assisted by a web-based graphical user interface which allows for accessing the results by the public. In addition, by focusing on local neighborhoods, this thesis provides an alternative approach in measuring and visualizing both indicators by utilizing a Neighborhood Relation Diagram (NRD), based on weighted Voronoi diagrams. Thus, the user is able to a) utilize original census data, b) compare direct impacts of indicator results on the neighboring cells, and c) compare both indicators of sustainability visually.

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Metadaten
Author:Sebastian Petsch
URN (permanent link):urn:nbn:de:hbz:386-kluedo-28578
Advisor:Hans Hagen, Achim Ebert, Subhrajit Guhathakurta
Document Type:Doctoral Thesis
Language of publication:English
Publication Date:2012/01/20
Year of Publication:2012
Publishing Institute:Technische Universität Kaiserslautern
Granting Institute:Technische Universität Kaiserslautern
Acceptance Date of the Thesis:2011/12/16
Tag:Carbon footprint; Geovisualization; Urban sprawl; Voronoi diagram
GND-Keyword:Geoinformationssystem; Nachhaltigkeit; Visualisierung
Number of page:164
Faculties / Organisational entities:Fachbereich Informatik
CCS-Classification (computer science):E. Data
J.2 PHYSICAL SCIENCES AND ENGINEERING
DDC-Cassification:004 Datenverarbeitung; Informatik

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