使用文本挖掘方法支持可持续发展目标的“环境友好运动”项目

I. Rachman, A. Permanasari, Toru Matsumoto
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引用次数: 0

摘要

如今,在万隆市,环保倡议和宣传活动得到了大规模的推广。这些活动是在市一级实现可持续发展目标方案的一部分。利用网络新闻和媒体的文本挖掘方法来了解该计划对万隆市居民的环保行为和意识的影响。对万隆市340名居民进行了随机问卷调查,以了解社会人口特征(年龄和教育水平)与受访者的环保行为之间的关系。结果显示,康·皮斯曼项目成为通过大众媒体推广的最高环保运动项目。这一结果也符合万隆市人民试图减少其产生的废物的问卷调查。此外,受教育程度不显著,年龄成为影响环境行为的因素之一。有趣的是,政府应该加强有机废物管理,因为许多人不愿意处理他们的有机废物。为了促进、教育和让居民参与环保行为,利益相关者应该开展环境友好运动,从而实现当地的可持续发展目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“Environmentally-Friendly Movement” as a Program to Support Sustainable Development Goals Using Text Mining Methods
Nowadays, environmental initiatives and campaign activities are promoted massively in Bandung City. These activities are part of the program to achieve sustainable development goals at the municipal level. Text mining methods from online news and media were conducted to understand the implication of the program to the pro-environmental behavior and consciousness of the Bandung City residents. A questionnaire survey to 340 residents of Bandung City was also distributed randomly to see the relationship between sociodemographic profiles (age and education level) and pro-environmental behavior of the respondents. Results showed that the Kang Pisman program became the highest environmentally friendly movement program promoted through mass media. This result also correspondence to the questionnaire survey in which people in Bandung City try to reduce their produced waste. Besides, education level is insignificant, and age becomes one-factor influencing environmental behavior. The interesting point is that the government should enhance organic waste management since many people are unwilling to process their organic waste. To promote, educate, and engage residents in pro-environmental behavior, stakeholders should conduct environmentally friendly movements, thus achieving local SDGs target.
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