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Time geography in a hybrid physical-virtual world
1Department of Geography and Sustainability, University of Tennessee, Knoxville, Tennessee 37996 USA.
Summary
Time geography concepts from the 1960s need updating for today's hybrid physical-virtual world. New data and technologies require extensions to classical time-geographic ideas for human dynamics research.
Area of Science:
- Spatial Sciences
- Human Geography
- Information Technology
Background:
- Classical time geography originated in the 1960s, focusing on physical space and human activities.
- Modern information and communication technologies enable human activities and interactions in virtual spaces.
- The Big Data era provides unprecedented spatial and temporal details of human dynamics in both physical and virtual realms.
Purpose of the Study:
- To discuss evolving human dynamics in hybrid physical-virtual spaces enabled by technological advancements.
- To review classical time-geographic concepts within the context of a hybrid world.
- To propose extensions to classical time-geographic concepts for contemporary human dynamics research.
Main Methods:
- Discussion of evolving human dynamics through internet applications, digital twins, and augmented/virtual reality.
- Review of classical time-geographic concepts: constraints, space-time path, space-time prism, bundle, project/situation, and diorama.
- Analysis of the applicability and limitations of classical concepts in hybrid physical-virtual environments.
Main Results:
- Technological advances have created new forms of hybrid physical-virtual spaces influencing human dynamics.
- Classical time-geographic concepts face challenges in fully capturing human behavior in these complex environments.
- Potential extensions to classical concepts are identified to better address contemporary human dynamics.
Conclusions:
- Time geography requires conceptual evolution to adequately address human dynamics in the current hybrid physical-virtual landscape.
- Extending classical time-geographic concepts is crucial for advancing research on human behavior in technologically mediated environments.
- The study highlights the need for updated theoretical frameworks to understand human movement and interaction in the Big Data era.
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