Volume IV-4/W7
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W7, 35-42, 2018
https://doi.org/10.5194/isprs-annals-IV-4-W7-35-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W7, 35-42, 2018
https://doi.org/10.5194/isprs-annals-IV-4-W7-35-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  20 Sep 2018

20 Sep 2018

COMPUTING FEEDBACK FOR CITIZENS’ PROPOSALS IN PARTICIPATIVE URBAN PLANNING

J. Dambruch1,2 J. Dambruch
  • 1Technische Universität Darmstadt, Darmstadt, Germany
  • 2Fraunhofer Institute for Computer Graphics Research IGD, Competence Center for Spatial Information Management 64283 Darmstadt, Germany

Keywords: public participation, co-creation, automated feedback, Domain-Specific Languages

Abstract. We show an approach how to provide computed feedback on citizens’ proposals based on open data and expert knowledge in urban planning and public participation by using Domain-Specific Languages (DSL). We outline the process involving different stakeholders of engineering such a DSL and provide an architecture capable of executing the language and uploading new scripts at runtime. A real-world example of the city of Hamburg is used to show the principles and serves as input for development. A prototype has been implemented and evaluated at various events involving citizen and city representatives. We conclude that DSLs can be successfully applied to enable a new way to access data in a more convenient and understandable form, abstracting from technical details and focusing on domain aspects.