Abstract
Purpose: This study aims at identifying the development trends of decision support system (DSS) for the urban planning in relation to the ecological industry in order to secure the decision support base for leading sustainable eco-industrial development (EID) within the city. Method: In this study, through text mining technique, key words was extracted from the titles and abstracts of the DSS-related research documents published from 2003 to 2019 in international academia. Their relationships were analyzed through Social Network Analysis (SNA). Result: Most of the extracted key words were analyzed to have close relations with each other in the network. In particular, the very strong link between the ‘circular economy’ and the ‘environment’ showed that the application of the concept of circular economy is needed in the decision-making process. In particular, ‘China’ is the keyword that appeared most frequently in the research documents, which has strong links with other topics, especially with ‘urbanization’, ‘CO₂ emission’, and ‘NPS pollutants’. Researches around the world conducted to economically implement EID and reduce negative social and environmental impacts during the development process show that it is necessary to develop DSS construction to optimize vehicle routes, manage water quality, and minimize carbon dioxide emissions. It was found that while ‘cost’ and ‘policy makers’ are factors that directly influence the decision-making process, ‘sustainable development’ is a factor that has a high mediating influence on the process.
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