Abstract
The damages and losses caused by unscheduled events such as earthquakes, floods, and other major natural disasters have sudden and significant impacts on the economies of regions where these events occur. The impacts of damage on production facilities and lifelines (e.g. utility lines and transportation networks) may spread across several regions via importexport relationships and have serious economic impacts on even distant regions far from the location of the event.
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References
Abraham, T., and Roddick, J. F. (1999). Survey of Spatio-Temporal Databases. GeoInformatica, 3(1), pp. 61–99.
Armstrong, M. P. (1988). Temporality in Spatial Databases. In Proceedings of GIS/LIS’ 88, Vol. 2. (San Antonio, TX), pp. 880–889.
Claramunt, C. and Thériault, M. (1995). Managing Time in GIS: An eventoriented approach. Recent Advances on Temporal Databases, Clifford, J. and Tuzhilin, A. (eds.), Springer-Verlag, Zurich, Switzerland, pp. 23–42.
El-Geresy, B. A., Abdelmoty, A. I., and Jones, C. B. (2002). Spatio-Temporal Geographic Information Systems: A Causal Perspective. In Manolopoulos, Y. and Navrat, P., Lecture Notes in Computer Science, 2435, pp. 191–203.
Hägerstrand, T. (1970). What about People in Regional Science?. Papers of the Regional Science Association. 24, pp.7–21.
Ham, H. (2001). An Integrated Interregional Input-Output and Transportation Network Model for Assessing Economic Impacts of Unexpected Events (Doctoral dissertation, University of Illinois at Urbana-Champaign, 2001). DAI-A 62/06, p. 2255
Ham, H., Kim, T. J., and Boyce, D. E. (2005a). Implementation and Estimation of a Combined Model of Interregional, Multimodal Commodity Shipments and Transportation Network Flows, Transportation Research B, 39(1), pp. 65–79
Ham, H., Kim, T. J., and Boyce, D. E. (2005b). Assessment of Economic Impacts from Unexpected Events Using an Interregional Commodity Flow and Multimodal Transportation Network Model. Transportation Research A, 39(10), pp. 849–860
Kim, T. J., Ham, H., and Boyce, D. E. (2002). Economic Impacts of transportation network changes: Implementation of a combined transportation network and input-output model, Papers in Regional Science, 81, pp. 223–246. Springer-Verlag, Berlin.
Langran, G. (1988). Temporal GIS design tradeoffs. In Proceedings of GIS/LIS’ 88, Vol. 2. (San Antonio, TX), pp. 890–899.
Langran, G. (1992). Time in Geographic Information Systems. Bristol, PA: Taylor & Francis Inc.
Okuyama, Y., Hewings, G. J. D., and Sonis, M. (2004). Measuring Economic Impacts of Disasters: Interregional Input-Output Analysis Using Sequential Interindustry Model. In Okuyama, Y., and Chang, S.E. (Eds.), Modeling Spatial and Economic Impacts of Disasters. Springer
Pang, M. Y. and Shi, W. (2002). Development of a Process-Based Model for Dynamic Interaction in Spatio-Temporal GIS. GeoInformatica, 6(4), pp. 323–344.
Peuquet, D. J. (1994). It’s about Time: A Conceptual Framework for the Representation of Temporal Dynamics in Geographic Information Systems. Annals of the Association of American Geographers, 84(3), pp. 441–461.
Peuquet, D. J. (2001). Making Space for Time: Issues in Space-Time Data Representation. GeoInformatica, 5(1), pp. 11–32.
Peuquet, D. J., and Duan, N. (1995). An event-based spatiotemporal data model (ESTDM) for temporal analysis of geographical data. International Journal of Geographical Information Systems, 9(1), pp. 7–24.
Romanoff, E. and Levine, S.H. (1977). Interregional Sequential Interindustry Modeling: A Preliminary Analysis of Regional Growth and Decline in a Two Region Case. Northeast Regional Science Review, 7, pp.87–101.
Shaw, S.-L and Xin, X. (2003). Integrated land use and transportation interaction: a temporal GIS exploratory data analysis approach. Journal of Transport Geography, 11, pp. 103–115
Sohn, J., Hewings, G. J.D., Kim, T. J., Lee, J. S., and Jang, S.-G. (2002) Analysis of Economic Impacts of an Earthquake on Transportation Network. Available at http://epil.urban.uiuc.edu/publications/02-0801.pdf.
Sohn, J., Kim, T. J., Hewings, G. J.D., Lee, J. S., and Jang, S.-G. (2003). Retrofit Priority of Transport Network Links under an Earthquake, ACSE Journal of Urban Planning and Development, 129-4, pp. 195–210.
Worboys, M. F. (1994a). A Unified Model for Spatial and Temporal Information. The Computer Journal, 37, pp. 26–34.
Worboys, M. F. (1994b). Unifying the Spatial and Temporal Components of Geographical Information. In Waugh, T.C. and Healy, R.G., editors, Advances in GIS Research, Proceeding of the 6th International Symposium on Spatial Data Handling, Taylor & Francis,.
Yuan, M. (1994). Wildfire Conceptual Modeling for Building GIS Space-Time Models. GIS/LIS’ 94, (Phoenix), pp. 860–869.
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Lee, J.S., Kim, T.J. (2007). Spatio-Temporal Models for Network Economic Loss Analysis Under Unscheduled Events: A Conceptual Design. In: Murray, A.T., Grubesic, T.H. (eds) Critical Infrastructure. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68056-7_4
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DOI: https://doi.org/10.1007/978-3-540-68056-7_4
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