An Interactive Visualization System to Analyze and Predict Urban Construction Dynamics

نویسندگان

  • Tzu-Chi Yen
  • Tzu-Yun Lin
  • Ching-Yuan Yeh
  • Hsun-Ping Hsieh
  • Cheng-Te Li
چکیده

In this work, we develop an analytic and visualization system for citizens and government agencies to understand, track, and predict the construction dynamics in an urban area. The presented system consists of three major functions. First, we provide an interactive data visualization interface that allows various users to easily investigate the relationships among different construction types, geographical regions of interest, and the duration of construction over time. Second, the system enables the users to discover functional areas and identify possible urban construction problems by automatically grouping regions (i.e., villages) that share similar characteristics of construction requests. Third, a regression-based prediction model is devised to forecast the future numbers of construction requests for a certain construction type of interest and a specific region of interest. The one-year construction request data collected from Taipei City open data platform is used in our system. Our system is general-purposed for other data with similar schema, with a case demonstration in the urban construction data in this work. Researchers will be allowed to use our system to analyze other request data such as New York City 311 calls.

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تاریخ انتشار 2015