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A mobile sense of place: exploring a novel mixed methods user-centred approach to capturing data on urban cycling infrastructure

  • Andreas Wesener*
  • , Suzanne Vallance
  • , Maike Tesch
  • , Sarah Edwards
  • , Jillian Frater
  • , Richard Moreham
  • *Corresponding author for this work

Research output: Journal contributionsJournal articlesResearchpeer-review

6 Citations (Scopus)

Abstract

The paper explores a user-centred methodology for collecting, categorising, visualising, and interpreting data on urban cycling infrastructure and related cycling events. It develops a mobile mixed methods approach combining audio, video, sensor, and geospatial data sources. The method responds to stakeholders’ feedback and related concerns about negotiating engineering, landscape and urban design, planning and policy elements in a way that addresses cyclists’ needs. It is tested in a pilot study that combines infrastructure monitoring and perception data collection on eight newly built Major Cycle Routes in Christchurch, New Zealand. Data from one Major Cycle Route is used to explore methods of data categorisation, visualisation and interpretation. Based on the results of the pilot study, the paper discusses potential methodological changes or additions. It suggests future research opportunities and potential applications of the proposed methodology to support stakeholders’ efforts to advance the planning, design and implementation of urban cycleways.

Original languageEnglish
JournalApplied Mobilities
Volume7
Issue number4
Pages (from-to)327-351
Number of pages25
ISSN2380-0127
DOIs
Publication statusPublished - 02.10.2022

Bibliographical note

Publisher Copyright:
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research areas and keywords

  • Cycling infrastructure
  • mixed methods
  • perception data
  • sensor-based data
  • user-generated data
  • Sustainability sciences, Communication

ASJC Scopus Subject Areas

  • Geography, Planning and Development
  • Transportation
  • Urban Studies

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