TY - CHAP
T1 - (Big) data in urban design practice: supporting high-level design tasks using a visualization of human movement data from smartphones
AU - Rout, A.E.
AU - Willett, Wesley
PY - 2021
Y1 - 2021
N2 - We present the SmartCampus visualization tool, representing spatiotemporal data of over 200 student pathways and restpoints on a university campus. Based on our experiences with SmartCampus, we also propose a task-based framework that describes how practicing urban designers (specifically, architects) can use human movement data visualizations in their work. Although extensive amounts of location data are produced daily by smartphones, existing geospatial tools are not customized to specifically support high-level urban design tasks. To help identify opportunities in urban design for visualizing human movement data from devices such as smartphones, we used our SmartCampus prototype to facilitate a series of 3 participatory design sessions (3 participants), a targeted online survey (14 participants), and semi-structured interviews (6 participants) with architectural experts. Our findings showcase the need for location analysis tools tailored to concrete urban design practices, and also highlight opportunities for Smart City researchers interested in developing domain specific, visualization tools.
AB - We present the SmartCampus visualization tool, representing spatiotemporal data of over 200 student pathways and restpoints on a university campus. Based on our experiences with SmartCampus, we also propose a task-based framework that describes how practicing urban designers (specifically, architects) can use human movement data visualizations in their work. Although extensive amounts of location data are produced daily by smartphones, existing geospatial tools are not customized to specifically support high-level urban design tasks. To help identify opportunities in urban design for visualizing human movement data from devices such as smartphones, we used our SmartCampus prototype to facilitate a series of 3 participatory design sessions (3 participants), a targeted online survey (14 participants), and semi-structured interviews (6 participants) with architectural experts. Our findings showcase the need for location analysis tools tailored to concrete urban design practices, and also highlight opportunities for Smart City researchers interested in developing domain specific, visualization tools.
UR - http://www.scopus.com/inward/record.url?scp=85111915569&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-76059-5_16
DO - 10.1007/978-3-030-76059-5_16
M3 - Chapter
T3 - Urban Book Series
SP - 301
EP - 318
BT - Urban Informatics and Future Cities
A2 - Geertman, S.C.M.
A2 - Pettit, C.
A2 - Goodspeed, R.
A2 - Staffans, A.
PB - Springer
ER -
