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College students' municipal solid waste source separation behavior and its influential factors: A case study in Beijing, China

机译:大学生城市生活垃圾源头分类行为及其影响因素-以北京为例

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China has the highest higher education enrollment across the world since 2005. Beijing has China's greatest concentration of higher education universities and institutes, and therefore has the greatest potential and necessity for conducting waste source separation on university campuses. This study conducted a face-to-face intercept survey on 10 university campuses in Beijing, to gather first-hand information on students' waste source separation behavior and its influential factors. The survey received a total of 509 valid respondents. Results showed that 47% of the college students mixed all the MSWs at source, which is very similar to their surrounding friends (43%) but much higher than their parents (27%). Nearly 90% of the respondents can make a correct separation of food waste, but the accuracy rate fir waste drugs (76%), waste textiles (73%), waste batteries (69%), and waste electrics (54%) is much lower. Special attention needs to be given to distinguishing recyclables and hazardous wastes. For the testing of five influential factor hypotheses, HP1, HP3, and HP4 can be accepted, and HP2 and HP5 can be partly accepted. Students that are more likely to actively participate in waste source separation are: female; have more awareness of waste damage consequences and are willing to make more practical efforts; have more knowledge on proper waste classification; have surrounding friends that do waste source separation; and have better perceptions of the convenience of waste separation systems and the university's waste management processes. Five measures are also recommended for improving students' behavior based on this investigation. (C) 2017 Elsevier Ltd. All rights reserved.
机译:自2005年以来,中国是全球高等教育入学率最高的国家。北京拥有中国最高的高等教育大学和机构,因此,在大学校园内进行废物源分离的潜力和必要性最大。该研究在北京的10个大学校园中进行了面对面的拦截调查,以收集有关学生废物源分离行为及其影响因素的第一手信息。该调查共收到509位有效受访者。结果表明,有47%的大学生在源头上混合了所有MSW,这与周围的朋友(43%)非常相似,但远高于其父母(27%)。将近90%的受访者可以正确分类餐厨垃圾,但是准确率较高的是垃圾药品(76%),废纺织品(73%),废电池(69%)和废电子产品(54%)降低。需要特别注意区分可回收废物和危险废物。为了检验五个影响因素假设,可以接受HP1,HP3和HP4,可以部分接受HP2和HP5。更有可能积极参与废物源分类的学生是:女;更加了解废物破坏的后果,并愿意做出更多实际的努力;对适当的废物分类有更多的了解;有周围的朋友在进行废物源分离;并且对废物分类系统的便利性和大学的废物管理流程有了更好的认识。在这项调查的基础上,还建议了五项措施来改善学生的行为。 (C)2017 Elsevier Ltd.保留所有权利。

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