Geography Reference
In-Depth Information
Scott, D. M., & He, S. Y. (2012). Modeling constrained destination choice for shopping: A
GIS-based, time-geographic approach.
Journal of Transport Geography, 23
, 60-71.
Shaw, S.-L. (2012). Guest editorial introduction: Time geography - Its past, present and future.
Journal of Transport Geography, 23
, 1-4.
Sips, M., Schneidewind, J., & Keim, D. A. (2007). Highlighting space-time patterns: Effective
visual encodings for interactive decision-making.
International Journal of Geographical
Information Science, 21
(8), 879-893.
Sui, D. (2012). Looking through Hägerstrand's dual vistas: Towards a unifying framework for time
geography.
Journal of Transport Geography, 23
, 5-16.
Wentz, E. A., Peuquet, D. J., & Anderson, S. (2010). An ensemble approach to space-time
interpolation.
International Journal of Geographical Information Science, 24
(9), 1309-1325.
Wu, Y. H., & Miller, H. J. (2001). Computational tools for measuring space-time accessibility
within transportation networks with dynamic flow.
Journal of Transportation and Statistics,
4
(2/3), 1-14.
Xu, L., Yang, X., AI, S., & JIN, B. (2008). Study the service level of the city roads in Beijing.
Traffic and Transportation, 5
(1), 43-45 (in Chinese).
Yoon, S. Y., Deutsch, K., Chen, Y., & Goulias, K. G. (2012). Feasibility of using time-space prism
to represent available opportunities and choice sets for destination choice models in the context
of dynamic urban environments.
Transportation, 39
(4), 807-823.
Yu, H., & Shaw, S.-L. (2008). Exploring potential human activities in physical and virtual spaces:
A spatio-temporal GIS approach.
International Journal of Geographical Information Science,
22
(4), 409-430.
Zhou, J., & Golledge, R. (2007). Real-time tracking of activity scheduling/schedule execution
within a unified data collection framework.
Transportation Research Part A: Policy and
Practice, 41
(5), 444-463.
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