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One to Many: Opportunities to Understanding Collective Behaviors in Urban Environments Through Individual’s Passively-Collected Locative Data

  • Anthony Vanky
  • Theodore Courtney
  • Santosh Verma
  • Carlo Ratti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9749)

Abstract

Walkable cities are of increased interest for urban planners and active transportation professionals, where a greater understanding of pedestrian behaviors is needed. This presentation discusses an approach for measuring spatiotemporal macro-behaviors of walking activity in urban environments using anonymized, individual, locative, passively-collected data recorded by popular physical activity mobile applications. With this data, we explore the characteristics of aggregated pedestrian activity within the physical and social milieu of the city at scale, with temporal detail, and in consideration of the infrastructural and urban characteristics influencing individual activity.

Keywords

Urban planning Mobile applications Locative data Spatiotemporal data Physical activity 

Notes

Acknowledgements

Thank you to the Liberty Mutual Research, Accenture China, American Air Liquide, Dallas Area Rapid Transit, ENEL Foundation, Ericsson, the Fraunhofer Institute, Philips, the Kuwait-MIT Center for Natural Resources and the Environment, Singapore-MIT Alliance for Research and Technology (SMART), and Volkswagen Electronics Research Laboratory, and all the members of the Senseable City Consortium. Our deep gratitude to Nicholas Arcolano for the provisioning of this valuable data.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Anthony Vanky
    • 1
  • Theodore Courtney
    • 2
  • Santosh Verma
    • 2
  • Carlo Ratti
    • 1
  1. 1.Senseable City Lab, Department of Urban Studies and PlanningMassachusetts Institute of TechnologyCambridgeUSA
  2. 2.Liberty Mutual Research Institute for SafetyHopkintonUSA

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