This article presents an excerpt from the Cape Reviso Toolbox, which, using digital methods, is designed to better recognize and understand conflicts between cyclists and other road users users. A user survey, distance measurements, emotion sensing and AI camera system modules presented here were carried out as a synchronous test run with 16 test persons and almost 300 data sets in Herrenberg. The positive result motivated subsequent projects to scale up the approach with a longer duration, independent implementation of the measurements by the test persons, and integration into municipal planning processes. The results were discussed with citizens and decision-makers and confirmed local knowledge about uncertainties through sensor measurements.
Autor / Author: | Zeile, Peter; Obst, Thomas; Schmidt-Hamburger, Céline; Haug, Nina |
Institution / Institution: | Karlsruhe Institute of Technology KIT, Karlsruhe/Germany; High-Performance Computing Center Stuttgart/Germany; Karlsruhe Institute of Technology KIT, Karlsruhe/Germany; Karlsruhe Institute of Technology KIT, Karlsruhe/Germany |
Seitenzahl / Pages: | 12 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 9-2024 |
Tagung / Conference: | Digital Landscape Architecture 2024 – New Trajectories in Computational Urban Landscapes and Ecology |
Veranstaltungsort, -datum / Venue, Date: | Vienna University of Technology, Austria 05-06-24 - 07-06-24 |
Schlüsselwörter (de): | |
Keywords (en): | Cycling planning, emotion sensing, mobility design, active mobility, citizens’ science |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537752046 |
Diese Website nutzt Cookies, um ihre Dienste anbieten zu können und Zugriffe zu analysieren. Dabei ist uns der Datenschutz sehr wichtig.
Legen Sie hier Ihre Cookie-Einstellungen fest. Sie können Sie jederzeit auf der Seite Cookie-Informationen ändern.