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Geographic Information Systems (GIS) Based Visual Analytics Framework for Highway Project Performance Evaluation
Abstract Advances in data and information technologies have resulted in the availability of different types of useful data and easy accessibility. However, much of the data is not fully leveraged to gain insights for decision making due to the labor-intensive and time-consuming process of data collection and the unstructured format of data, which imposes challenges for data analytics. This paper discusses a Geographic Information Systems (GIS) based visual analytics framework for highway project performance evaluation in terms of cost and productivity. The study employs web data extraction techniques and database technologies to automatically extract data of interest from different web data sources to develop databases that contain structured data for data analytics. To merge the data from distinct sources, natural language processing techniques are also used to deal with the inconsistency of data terminology and word choices. In addition, the use of GIS technologies allows for the visualization and analysis of data collected from different locations. A case study was undertaken, which implemented part of the framework for unit price visualization, estimation, and evaluation of highway projects.
Geographic Information Systems (GIS) Based Visual Analytics Framework for Highway Project Performance Evaluation
Abstract Advances in data and information technologies have resulted in the availability of different types of useful data and easy accessibility. However, much of the data is not fully leveraged to gain insights for decision making due to the labor-intensive and time-consuming process of data collection and the unstructured format of data, which imposes challenges for data analytics. This paper discusses a Geographic Information Systems (GIS) based visual analytics framework for highway project performance evaluation in terms of cost and productivity. The study employs web data extraction techniques and database technologies to automatically extract data of interest from different web data sources to develop databases that contain structured data for data analytics. To merge the data from distinct sources, natural language processing techniques are also used to deal with the inconsistency of data terminology and word choices. In addition, the use of GIS technologies allows for the visualization and analysis of data collected from different locations. A case study was undertaken, which implemented part of the framework for unit price visualization, estimation, and evaluation of highway projects.
Geographic Information Systems (GIS) Based Visual Analytics Framework for Highway Project Performance Evaluation
Le, Chau (Autor:in) / Le, Tuyen (Autor:in) / Jeong, H. David (Autor:in)
04.10.2018
6 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Visual data analytics , Web data extraction , Database , Natural language processing , Geographic information systems , Unit price predictions and visualizations Engineering , Building Construction and Design , Data Mining and Knowledge Discovery , Building Repair and Maintenance , Computer-Aided Engineering (CAD, CAE) and Design , Light Construction, Steel Construction, Timber Construction , Construction Management
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