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Seeing through a new lens: exploring the potential of city walking tour videos for urban analytics


Hartmann, Maximilian C; Purves, Ross S (2023). Seeing through a new lens: exploring the potential of city walking tour videos for urban analytics. International Journal of Digital Earth, 16(1):2555-2573.

Abstract

City Walking Tour Videos (CWTVs) are a novel source of Volunteered Geographic Information providing street-level imagery through video sharing platforms such as YouTube. We demonstrate that these videos contain rich information for urban analytical applications, by conducting a mobility study. We detect transport modes with a focus on active (pedestrians and cyclists) and motorised mobility (cars, motorcyclists and trucks). We chose the City of Paris as our area of interest given the rapid expansion of the bicycle network as a response to the Covid-19 pandemic and compiled a video corpus encompassing more than 66 hours of video footage. Through the detection of street names in the video and placename containing timestamps we extracted and georeferenced 1169 locations at which we summarise the detected transport modes. Our results show high potential of CWTVs for studying urban mobility applications. We detected significant shifts in the mobility mix before and during the pandemic as well as weather effects on the volumes of pedestrians and cyclists. Combined with the observed increase in data availability over the years we suggest that CWTVs have considerable potential for other applications in the field of urban analytics.

Abstract

City Walking Tour Videos (CWTVs) are a novel source of Volunteered Geographic Information providing street-level imagery through video sharing platforms such as YouTube. We demonstrate that these videos contain rich information for urban analytical applications, by conducting a mobility study. We detect transport modes with a focus on active (pedestrians and cyclists) and motorised mobility (cars, motorcyclists and trucks). We chose the City of Paris as our area of interest given the rapid expansion of the bicycle network as a response to the Covid-19 pandemic and compiled a video corpus encompassing more than 66 hours of video footage. Through the detection of street names in the video and placename containing timestamps we extracted and georeferenced 1169 locations at which we summarise the detected transport modes. Our results show high potential of CWTVs for studying urban mobility applications. We detected significant shifts in the mobility mix before and during the pandemic as well as weather effects on the volumes of pedestrians and cyclists. Combined with the observed increase in data availability over the years we suggest that CWTVs have considerable potential for other applications in the field of urban analytics.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
06 Faculty of Arts > Zurich Center for Linguistics
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Computer Science Applications
Physical Sciences > General Earth and Planetary Sciences
Uncontrolled Keywords:General Earth and Planetary Sciences, Computer Science Applications, Software
Language:English
Date:31 December 2023
Deposited On:03 Nov 2023 15:29
Last Modified:29 Jun 2024 01:39
Publisher:Taylor & Francis
ISSN:1753-8947
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1080/17538947.2023.2230182
Project Information:
  • : FunderSNSF
  • : Grant ID186389
  • : Project TitleGeovisual analysis of VGI for understanding people's behaviour in relation to multi-faceted context (EVA-VGI 2)
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)