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Investigating the association between streetscapes and human walking activities using Google Street View and human trajectory data

Having an active lifestyle is recognized to positively contribute to public health. Creating more walkable streets and neighborhoods is an important way to promote an active lifestyle for urban residents. It is therefore important to understand how the urban built environment can influence human walking activities. In this study, we investigated the interaction of human walking activities and physical characteristics of streetscapes in Boston. A large number of anonymous pedestrian trajectories collected from a smartphone application were used to estimate human walking activities. The publicly accessible Google Street View images were used to estimate the amount of the street greenery and enclosure of street canyons, both of which were used to indicate the physical characteristics of streetscapes. The Walk Score and population were also added in the statistical analyses to control the influence of nearby urban facilities and population on human walking activities. Statistical analysis results show that both the street greenery and the enclosure of the street canyons significantly influence human walking activities. The associations between the streetscape variables and human walking activities vary in different land use types. The results of this study would provide a reference for designing walkable and healthy cities.
Transactions on GIS, 2018

External authors: Xiaojiang Li (MIT), Theodore Courtney (Harvard University), Santosh Verma (Liberty Mutual Institute), Carlo Ratti (MIT)
IIT authors:

Type: Contributo in rivista non ISI
Field of reference: Computer Science & Engineering

File: Tracking Human Activties using RunKeepers_XL_PS.pdf

Activity: Algoritmica per reti wireless