Space-time analytics of human physiology for urban planning.

G Millar, Ondrej Mitas, Wilco Boode, Lisette Hoeke, Joost de Kruijf, A Petrasova, H. Mitasova

Research output: Contribution to journalArticleScientificpeer-review

19 Citations (Scopus)
123 Downloads (Pure)


Recent advancements in mobile sensing and wearable technologies create new opportunities to improve our understanding of how people experience their environment. This understanding can inform urban design decisions. Currently, an important urban design issue is the adaptation of infrastructure to increasing cycle and e-bike use. Using data collected from 12 cyclists on a cycle highway between two municipalities in The Netherlands, we coupled location and wearable emotion data at a high spatiotemporal resolution to model and examine relationships between cyclists' emotional arousal (operationalized as skin conductance responses) and visual stimuli from the environment (operationalized as extent of visible land cover type). We specifically took a within-participants multilevel modeling approach to determine relationships between different types of viewable land cover area and emotional arousal, while controlling for speed, direction, distance to roads, and directional change. Surprisingly, our model suggests ride segments with views of larger natural, recreational, agricultural, and forested areas were more emotionally arousing for participants. Conversely, segments with views of larger developed areas were less arousing. The presented methodological framework, spatial-emotional analyses, and findings from multilevel modeling provide new opportunities for spatial, data-driven approaches to portable sensing and urban planning research. Furthermore, our findings have implications for design of infrastructure to optimize cycling experiences.

Original languageEnglish
JournalComputers, Environment and Urban Systems
Publication statusPublished - 2020


  • Cyclist experience
  • Dynamic visualization
  • Multilevel models
  • Spatial analysis
  • Viewsheds
  • Wearable sensors


Dive into the research topics of 'Space-time analytics of human physiology for urban planning.'. Together they form a unique fingerprint.

Cite this