Abstract
Along with urban development globally, the NIMBY (Not-In-My-Backyard) crisis has been a complex social problem, which requires urgent remedial action. The inevitable management of Municipal Solid Waste (MSW) has been one of the toughest risk management tasks in the worldwide modernization process. At present, certain fuzzy and unstructured results and methods have been formed for MSW-NIMBY crisis response, mainly focusing on the sociology and politics which scatter in complex and sensitive reports and news. Aiming at enhancing the effectiveness of data mining from specific sparse text of MSW-NIMBY crisis, an improved knowledge extraction method is developed. Through rule-based text mining and complex network analysis, the Entity Relationship (ER) network of MSW-NIMBY crisis is reconstructed. Meanwhile, a novel transitivity for relationship between entities in semantic analysis is proposed to improve the feasibility and accuracy of information extraction. Characteristics and regularity of MSW-NIMBY crisis evolution and experience of crisis governance could be identified effectively. Results show that knowledge integration and ER transitivity can enhance knowledge recognition and major other factors, which could help formulate the governance strategies of NIMBY crisis from academic texts.
Highlights
With the development of modernization and urbanization, environmental conflict has been a top global focus and an issue for urban sustainable development
It is difficult to be resolved once it has emerged, which has become one of the serious risks of “modernity” the transnational world faces [10]. e increases in public environmental awareness and community living standards, and the rapid development of media have greatly accelerated the outbreak of the NIMBY crisis [11], especially in developing countries with a high population density. e rising NIMBY protest movement within the city caused by Municipal Solid Waste (MSW) has become a serious challenge during the process of urbanization in China [12]
Results and Discussion e Entity Relationship (ER) network with the second relation transmission is applied to analysis and mining information on detailed by the method of Social Network Analysis (SNA), from the macro- and microlevels
Summary
With the development of modernization and urbanization, environmental conflict has been a top global focus and an issue for urban sustainable development. E study of NIMBY crisis in the context of China shows hysteresis, compared with many western countries It mainly focuses on related concepts [18], influence factors [15, 19], control measures [20], and relevant resolving experience [21], but most of them use qualitative and common methods, such as focus interviews to analyze effectiveness of public participation [22], case analysis to study government strategic orientation [23], and promotion of public participation [24], etc. Inspired by the ER network, a series of rules for ER extraction and transitive relation model can be established to acquire overall information of MSW-NIMBY crisis from scientific literatures more accurately, and provide a solution for environmental conflicts like MSW-NIMBY crisis
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