Geovisualization of Tourist Activity Travel Patterns Using 3D GIS: An Empirical Study of Tamsui, Taiwan
The study of tourist activities and the mapping of their routes in space and time has become an important issue in tourism management. Here we represent space-time paths for the tourism industry by visualizing individual tourist activities and the paths followed using a 3D Geographic Information System (GIS). Considerable attention has been devoted to the measurement of accessibility to shopping, eating, walking and other services at the tourist destination. I turns out that GIS is a useful tool for studying the spatial behaviors of tourists in the area. The value of GIS is especially advantageous for space-time potential path area measures, especially for the accurate visualization of possible paths through existing city road networks. This study seeks to apply space-time concepts with a detailed street network map obtained from Google Maps to measure tourist paths both spatially and temporally. These paths are further determined based on data obtained from map questionnaires regarding the trip activities of 40 individuals. The analysis of the data makes it possible to determining the locations of the more popular paths. The results can be visualized using 3D GIS to show the areas and potential activity opportunities accessible to tourists during their travel time.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1328974Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2011
 D.G. Janelle, and A. Gillespie, "Space-Time constructs for linking information and communication technologies with issues in sustainable transportation", Transport Reviews, vol. 24, vol. 6, pp. 665-677, 2004.
 A.D.A.M. Kemperman, A.W.J. Borgers, and H.J.P. Timmermans, "Tourist shopping behavior in a historic downtown area", Tourism Management, vol. 30, vol. 2, pp. 208-218, 2009.
 M. Raubal, S. Winter, S. Temann, and C. Gaisbauer, "Time geography for ad-hoc shared-ride trip planning in mobile geosensor networks", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 62, vol. 5, pp. 366-381, 2007.
 A. O'Connor, A. Zerger, and B. Itami, "Geo-temporal tracking and analysis of tourist movement", Mathematics and Computers in Simulation, vol. 69, vol. 1-2, pp. 135-150, 2005.
 H. Krantz, "Household routines--A time-space issue: A theoretical approach applied on the case of water and sanitation", Applied Geography, vol. 26, vol. 3-4, pp. 227-241, 2006.
 S.-L. Shaw, H. Yu, and L.S. Bombom, "A space-time GIS approach to exploring large individual-based spatiotemporal datasets", Transactions in GIS, vol. 12, vol. 4, pp. 425-441, 2008.
 S.-L. Shaw, and H. Yu, "A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical-virtual space", Journal of Transport Geography, vol. 17, vol., pp. 141-149, 2009.
 R.N. Buliung, and P.S. Kanaroglou, "A GIS toolkit for exploring geographies of household activity/travel behavior", Journal of Transport Geography, vol. 14, vol. 1, pp. 35-51, 2006.
 H. Kang, and D.M. Scott, "An integrated spatio-temporal GIS toolkit for exploring intra-household interactions", Transporation, vol. 35, vol., pp. 253-268, 2008.
N. Shoval, and M. Isaacson, "Tracking tourists in the digital age", Annals of Tourism Research, vol. 34, vol. 1, pp. 141-159, 2007.
N. Shoval, "Tracking technologies and urban analysis", Cities, vol. 25, vol. 1, pp. 21-28, 2008.
T. Neutens, N.V.d. Weghe, F. Witlox, and P.D. Maeyer, "A three-dimensional network-based space-time prism", Journal of Geographical Systems, vol. 10, vol. 89-107, pp. 89-107, 2008.