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Architectural Institute of Korea (대한건축학회)
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Crowdsourced Urban Sensing: Urban Travel Behavior Using Mobile Based Sensing

  • Received : 2018.07.10
  • Accepted : 2018.09.29
  • Published : 2018.12.30
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Abstract

In the context of ever-faster urbanization, cities are becoming increasingly complex, and data collection to understand such complex relationships is becoming a very important factor. This paper focuses on the lighter weight of the method of collecting urban data, and studied how to use such complementary data collection using crowdsourcing. Especially, the method of converting mobile acceleration sensor information to urban trip information by combining with locational information was experimented. Using the parameters for transportation type classification obtained from the research, information was obtained and verified in Singapore and Zurich. The result of this study is thought to be a good example of how to combine raw data into meaningful behavior information.

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References

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