Towards human-centric metrics of urban bikeability

Lucas Van der Meer*, Christian Werner, Martin Loidl

*Corresponding author for this work

Research output: Contribution to conferencePosterpeer-review

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.
Original languageEnglish
Publication statusPublished - 15 Sept 2023
EventGIScience 2023: The 12 International Conference on Geographic Information Science. - University of Leeds, Leeds, United Kingdom
Duration: 12 Sept 202315 Sept 2023
Conference number: 12
https://giscience2023.github.io

Conference

ConferenceGIScience 2023
Abbreviated titleGIScience
Country/TerritoryUnited Kingdom
CityLeeds
Period12/09/2315/09/23
Internet address

Keywords

  • sustainable mobility
  • bikeability
  • open-source software
  • spatial network analysis
  • spatial data science
  • human-centred data science

Fields of Science and Technology Classification 2012

  • 102 Computer Sciences
  • 507 Human Geography, Regional Geography, Regional Planning

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