Bridging National Policies with Practical Rural Construction and Development: Research on a Decision Support System Based on Multi-Source Big Data and Integrated Algorithms

Yan Jiao, Weiguang Cai, Mingman Chen, Ziyu Jia () and Tiantian Du
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Yan Jiao: China Architecture Design and Research Group, Beijing 100044, China
Weiguang Cai: School of Construct Management and Real Estate, Chongqing University, Chongqing 400044, China
Mingman Chen: School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang 550025, China
Ziyu Jia: China Architecture Design and Research Group, Beijing 100044, China
Tiantian Du: China Architecture Design and Research Group, Beijing 100044, China

Sustainability, 2023, vol. 15, issue 23, 1-20

Abstract: While national policies play a crucial role in shaping local development, effective governance is essential for rural revitalization. However, the successful implementation and impact of these policies in rural areas can vary due to unique local circumstances, limited information, and a lack of sophisticated decision making tools. Closing the divide between overarching national policies and practical rural development is an immediate necessity. This study begins by creating a comprehensive five-dimensional evaluation system encompassing industrial economy, public utilities, transportation and logistics, policy and institutions, and resources and the environment. It then summarizes four typical development modes—the suburban fusion mode, the characteristic industry-oriented mode, the humanistic and ecological resource-based mode, and the balanced development mode with less distinct characteristics—through an analysis of the Chinese government’s policy framework for rural construction. Subsequently, it introduces a decision support system for rural construction and development founded on multi-source heterogeneous big data and integrated algorithms. This system was tested using 782 townships as samples for classification, evaluation, and decision support. The results leverages insights into current rural development trends to efficiently align with national policies and provide customized implementation recommendations tailored to local resource characteristics. This contributes to the practical execution of rural revitalization strategies and the advancement of scientific rural decision making.

Keywords: Decision Support System; rural development; multi-source big data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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