Towards human-centric metrics of urban bikeability

Lucas Van der Meer*, Christian Werner, Martin Loidl

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: KonferenzbeitragPosterPeer-reviewed

Abstract

We are developing a systematic workflow to measure bikeability in urban mobility networks. Bikeability is the extent to which a mobility network is suitable for cycling. Our metric is a composite index, computed as the weighted average of several quantitative indicators. As opposed to most conventional bikeability metrics, the indicators represent a combination of both objective and subjective factors. For example, how pleasant do people perceive the environment through which they cycle, to what extent does it stimulate a sense of place and belonging, and to what extent does it foster social interactions? These are key questions in order to move from a network-centric to a human-centric understanding of bikeability. Our final goal is to include all these indicators together in a single quantitative framework, based on open data and open software.
OriginalspracheEnglisch
PublikationsstatusVeröffentlicht - 15 Sept. 2023
VeranstaltungGIScience 2023: The 12 International Conference on Geographic Information Science. - University of Leeds, Leeds, Großbritannien/Vereinigtes Königreich
Dauer: 12 Sept. 202315 Sept. 2023
Konferenznummer: 12
https://giscience2023.github.io

Konferenz

KonferenzGIScience 2023
KurztitelGIScience
Land/GebietGroßbritannien/Vereinigtes Königreich
OrtLeeds
Zeitraum12/09/2315/09/23
Internetadresse

Systematik der Wissenschaftszweige 2012

  • 102 Informatik
  • 507 Humangeographie, Regionale Geographie, Raumplanung

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