Behavior Analysis and Individual Labeling Using Data from Wi-Fi IPS (2017)
article⁄Behavior Analysis and Individual Labeling Using Data from Wi-Fi IPS (2017)
abstract⁄It is fairly important for architects and urban designers to understand how different people interact with the environment. However, traditional investigation methods for studying environmental behavior are quite limited in their coverage of samples and regions, which are not sufficient to delve into the behavioral differences of people. Only recently, the development of indoor positioning systems IPS and datamining techniques has made it possible to collect fulltime, fullcoverage data for behavioral difference research and individualized identification.In our research, the WiFi IPS system is chosen among the various IPS systems as the data source due to its extensive applicability and acceptable cost. In this paper, we analyzed a 60day anonymized dataset from a ski resort, collected by a WiFi IPS system with 110 WiFi access points. Combining this with mobile phone data and questionnaires, we revealed some interesting characteristics of tourists from different origins through spatialtemporal behavioral data, and further conducted individual labeling through supervised learning.Through this case study, temporalspatial behavioral data from an IPS system exhibited great potential in revealing individual characteristics besides exploring group differences, shedding light on the prospect of architectural space personalization.
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| Year |
2017 |
| Authors |
Lin, Yuming; Huang, Weixin. |
| Issue |
ACADIA 2017: DISCIPLINES & DISRUPTION |
| Pages |
366-373 |
| Library link |
N/A |
| Entry filename |
behavior-analysis-individual-labeling-using-data |
