4668683
doi
10.5281/zenodo.4668683
oai:zenodo.org:4668683
user-gisruk_2021
Haworth, James
Department of Civil, Environmental Geomatic Engineering, University College London
Wang, Meihui
Department of Civil, Environmental Geomatic Engineering, University College London
Using Street View Imagery and Computer Vision Method for Visual Walkability Measurement in London
Lu, Jiaming
Department of Civil, Environmental Geomatic Engineering, University College London
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>Walking, as a friendly mode of transport, also contributes to physical and psychological well-being. However, since the 20 th century, the rapid development of modern road networks and urban architecture has led to degradation in the quality of walking environments in major cities such as London. This research aims to evaluate the Integrated Visual Walkability (IVW) index in Inner London, reflecting pedestrians’ walking experiences, and analyze the outcomes in consideration of the physical environment. The results contribute to develop strategies for London walkability optimization and improve upon the urban planning, and subsequently encourage people to walk more.</p>
Zenodo
2021-04-07
info:eu-repo/semantics/conferencePaper
4668682
user-gisruk_2021
1617798438.174738
1560956
md5:40f9e5822efdffe5f79cb572e282e852
https://zenodo.org/records/4668683/files/GISRUK2021_paper_64.pdf
public
10.5281/zenodo.4668682
isVersionOf
doi