Walking as a mode of transport

Bozovic, Tamara (2024) Walking as a mode of transport. UWE https://researchdata.uwe.ac.uk/id/eprint/747/

Brief summary of project

A small exploratory study testing the use of a walking-specific app (Go Jauntly) for the analysis of associations between walking environments and perceptions. The study was conducted in the Global South (Buenos Aires, Argentina) and the Global North (Bristol, UK and Auckland, New Zealand). This was a collaboration between three universities (UWE, Auckland University of Technology, and Universidad Nacional de San Martin in Buenos Aires Argentina) and two private companies: Go Jauntly (developing the app) and Tranquil City (providing data analytics). The project was funded by the Volvo Research and Educational Foundation (VREF).

Uncontrolled Keywords: walking, walkability, walking experiences, noise, greenery, green environment, soundscape
UWE College/School: College of Arts, Technology and Environment > School of Architecture and Environment
Creators: Bozovic, Tamara
Alternative title: Walking Environments and Experiences (WalkEE)
URI: https://researchdata.uwe.ac.uk/id/eprint/747
Data collection method: As described previously: - people's perceptions of their environment, collected via app (Go Jauntly, provided by the app developers in anonymised form) and an optional Qualtrics survey (UWE) - qualitative environmental data, collected by the researchers - quantitative environmental data: traffic noise data from traffic modelling and greenery data from false colour satellite imagery analysis (both provided by Tranquil City Ltd)
Grant number: EP-2022-WK-05
Geographic coverage: Walks undertaken in three cities - Bristol, Auckland, and San Martin Buenos Aires
Resource language: English
Metadata language: English
Ethical Statement: Data were obtained in a fully anonymised form, from the company developing the app through which the data were collected (Go Jauntly). Data are participants' responses provided during walks made using the app (e.g. "How pleasant was this walk?"). The data contain basic demographics (age group, gender, disability) but no identifiable data such as contact or place of residence. The data does not contain any geo-location data.
Collection period:
FromTo
1 May 202312 April 2024

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