The study of human activity and movement in space and time has been an important research area in the social sciences. However, the difficulty in collecting and analyzing the space-time activity (STA) data using current 3D location positioning techniques has limits in applying the time-geographic and activity theory to transportation and urban research and analyses. This paper develops a "3D Indoor Geo-Coding" technique to identify 3D indoor locational data for analyzing human activities. For implementing 3D positioning methods, this paper presents (1) to model micro-scale urban environments to be a frame of reference (reference data) to identify distance and direction, in order to obtain locational data, and (2) to develop a 3D indoor geo-coding method to identify locational data on individual activities based on the reference data. Finally, this paper describes the output from implementing the 3D indoor geo-coding technique to demonstrate the potential benefits of the 3D indoor geo-coding technique for improving the speed of emergency response using GIS data of the study area at Minnesota State University-Mankato, MN (USA). © Springer-Verlag 2004.
CITATION STYLE
Lee, J. (2004). 3D GIS for Geo-Coding human activity in micro-scale urban environments. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3234, 162–178. https://doi.org/10.1007/978-3-540-30231-5_11
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