TREEHOPPER A Tool Development for Identifying Potential Areas for Roadside Tree Planting

Iason Giraud, Viktoriya Tudzharova, Anna Erdi, Angelos Chronis, Serjoscha Benjamin Düring, Theresa Rosina Fink, Narridh Khean

Research output: Chapter in Book or Conference ProceedingsConference Proceedings without Presentation

Abstract

This research proposes a novel way of utilizing technologies for identifying potential areas for roadside tree planting. Urban greenery as a resource should be decided through participatory approaches that involve citizen engagement and empowerment. Therefore, the research focuses on proposing inclusive and data- informed tools in engaging both citizens and municipal authorities in collaborative decision- making processes. The solution is a web platform called “TreeHopper” enabling and guiding stakeholders towards data informed decisions. Tree planting is observed from two perspectives – the bird’s eye strategic view and from an augmented reality view where citizens can make local proposals for possible tree locations. The project’s impact can be pinpointed into three aspects, important for urban design and participatory practices - feasibility, environmental and social impact.
Original languageEnglish
Title of host publicationResponsive Cities Symposium - Design with Nature
EditorsAreti Markopoulou, Chiara Farinea, Mathilde Marengo
Pages296-306
Number of pages11
Publication statusPublished - 2021

Research Field

  • Former Research Field - Integrated Digital Urban Planning

Keywords

  • participation
  • environmental impact
  • tree planting
  • microclimate predictions
  • web application
  • Augmented Reality

Fingerprint

Dive into the research topics of 'TREEHOPPER A Tool Development for Identifying Potential Areas for Roadside Tree Planting'. Together they form a unique fingerprint.

Cite this