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Necessary Space—Time Conditions for Human Interaction

Author

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  • Harvey J Miller

    (Department of Geography, University of Utah, 260 S. Central Campus Dr. Room 270, Salt Lake City, UT 84112-9155, USA)

Abstract

Key scientific and application questions concern the relationships between individual-level activities and their effects on broader human phenomena, such as transportation systems and cities. Continuing advances in geographic information science, location-aware technologies, and geosimulation methods offer great potential for observational and simulation studies of human activities at high levels of spatiotemporal resolution. The author contributes by developing rigorous statements of the necessary space–time conditions for human interaction by extending a measurement theory for time geography. The extended measurement theory identifies necessary conditions both for physical and for virtual interaction. The theory suggests elegant and tractable solutions that can be derived from data available from location-aware technologies or geosimulation methods. These conditions and their solutions could be used to infer the possibilities for human interaction from detailed space–time trajectories and prisms generated from observation or simulation studies.

Suggested Citation

  • Harvey J Miller, 2005. "Necessary Space—Time Conditions for Human Interaction," Environment and Planning B, , vol. 32(3), pages 381-401, June.
    • Handle: RePEc:sae:envirb:v:32:y:2005:i:3:p:381-401
    DOI: 10.1068/b31154
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    References listed on IDEAS

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    1. Jan Veldhuisen & Harry Timmermans & Loek Kapoen, 2000. "RAMBLAS: A Regional Planning Model Based on the Microsimulation of Daily Activity Travel Patterns," Environment and Planning A, , vol. 32(3), pages 427-443, March.
    2. Morton E. O'Kelly & Harvey J. Miller, 1991. "Solution Strategies For The Single Facility Minimax Hub Location Problem," Papers in Regional Science, Wiley Blackwell, vol. 70(4), pages 367-380, October.
    3. Donald G. Janelle & David C. Hodge, 2000. "Information, Place, Cyberspace, and Accessibility," Advances in Spatial Science, in: Donald G. Janelle & David C. Hodge (ed.), Information, Place, and Cyberspace, chapter 1, pages 3-11, Springer.
    4. Landis, John D., 1994. "The California Urban Futures Model: A New Generation of Metropolitan Simulation Models," University of California Transportation Center, Working Papers qt9pb6g3g6, University of California Transportation Center.
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    Cited by:

    1. Downs, Joni A. & Horner, Mark W., 2012. "Probabilistic potential path trees for visualizing and analyzing vehicle tracking data," Journal of Transport Geography, Elsevier, vol. 23(C), pages 72-80.
    2. Juan Antonio Carrasco & Bernie Hogan & Barry Wellman & Eric J. Miller, 2008. "Agency In Social Activity Interactions: The Role Of Social Networks In Time And Space," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(5), pages 562-583, December.
    3. Yin, Ling & Shaw, Shih-Lung & Yu, Hongbo, 2011. "Potential effects of ICT on face-to-face meeting opportunities: a GIS-based time-geographic approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 422-433.
    4. Sui, Daniel, 2012. "Looking through Hägerstrand’s dual vistas: towards a unifying framework for time geography," Journal of Transport Geography, Elsevier, vol. 23(C), pages 5-16.
    5. Farber, Steven & Páez, Antonio, 2011. "Running to stay in place: the time-use implications of automobile oriented land-use and travel," Journal of Transport Geography, Elsevier, vol. 19(4), pages 782-793.
    6. Lin, Tao & Wang, Donggen, 2015. "Tradeoffs between in- and out-of-residential neighborhood locations for discretionary activities and time use: do social contexts matter?," Journal of Transport Geography, Elsevier, vol. 47(C), pages 119-127.
    7. Farber, Steven & O'Kelly, Morton & Miller, Harvey J. & Neutens, Tijs, 2015. "Measuring segregation using patterns of daily travel behavior: A social interaction based model of exposure," Journal of Transport Geography, Elsevier, vol. 49(C), pages 26-38.
    8. Shaw, Shih-Lung & Yu, Hongbo, 2009. "A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical–virtual space," Journal of Transport Geography, Elsevier, vol. 17(2), pages 141-149.

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