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Analyze the Low Carbon and Sustainable Homeland Database for Practical Application and Manage Web Site Project

Absrtact
The construction work of Low-Carbon and Sustainable Homeland Program involves technology and equipment of different professional fields, and requires the co-participation of authorities of different levels, private and public sectors, all social groups and communities as well as the public. The construction of real-time and effective information communication and resource exchange platform can facilitate all participants to learn the contents and their role and functions, acting as a fundamental mechanism, whether horizontally or vertically. Based on this, the Environmental Protection Administration constructed “Low-Carbon and Sustainable Homeland Information System” as a platform for the integration and exchange of information. Not only does it present the executive result, but also publish the concrete contents and description of every action plans. This year, not only do we continue maintain, manage and fortify the webpage, but also started to plan the interface of “multiple action plans” and the exclusive sections and inquires of certification. We reviewed “Action Plan Certification Project” and adjusted the fill-in forms as well as optimize the inquiry function for statistics; in addition, database of “Low Carbon Demonstration Communities” was included, showing effectively the results of the promotion and carbon reduction. From July 2014, when the certification began, till now, rich executive results and data have been shown; thus, since the government has open data applications, the participation rate is affected by “elected information” and “village background”; the scoring rate is affected by environment education areas; depending on certification data to build on the composite query system, it can offer query functions to authorities for formulating improvement policies and management measures.
Keyword
Low-carbon and Sustainable Living Area, Certification Evaluation Regulations, Text Mining, Open Data
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