{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:24:53Z","timestamp":1760955893983,"version":"3.41.2"},"reference-count":22,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T00:00:00Z","timestamp":1539561600000},"content-version":"vor","delay-in-days":287,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002338","name":"Ministry of Education of the People's Republic of China","doi-asserted-by":"publisher","award":["18YJA630068"],"award-info":[{"award-number":["18YJA630068"]}],"id":[{"id":"10.13039\/501100002338","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2018M633480"],"award-info":[{"award-number":["2018M633480"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2018,1]]},"abstract":"<jats:p>Reuse of recycled water is very important to both the environment and economy, while the public cognition degree towards recycled water reuse also plays a key role in this process, and it determines the acceptance degree of the public towards recycled water reuse. Under the background of the big data, the Hadoop platform was used to collect and save data about the public\u2019s cognition towards recycled water in one city and the BP neural network algorithm was used to construct an evaluation model that could affect the public\u2019s cognition level. The public\u2019s risk perception, subjective norm, and perceived behavioral control regarding recycled water reuse were selected as key factors. Based on a multivariate clustering algorithm, MATLAB software was used to make real testing on massive effective data and assumption models, so as to analyze the proportion of three evaluation factors and understand the simulation parameter scope of the cognition degree of different groups of citizens. Lastly, several suggestions were proposed to improve the public\u2019s cognition on recycled water reuse based on the big data in terms of policy mechanism.<\/jats:p>","DOI":"10.1155\/2018\/1876861","type":"journal-article","created":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T23:30:40Z","timestamp":1539646240000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Big Data Digging of the Public\u2019s Cognition about Recycled Water Reuse Based on the BP Neural Network"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6817-374X","authenticated-orcid":false,"given":"Hanliang","family":"Fu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1841-2671","authenticated-orcid":false,"given":"Zhijian","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4738-6433","authenticated-orcid":false,"given":"Mengmeng","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1607-494X","authenticated-orcid":false,"given":"Zelin","family":"Wang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2018,10,15]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1021\/acs.est.7b03705"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2016.04.071"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.3390\/su10072488"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.12973\/ejmste\/78192"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.3390\/w9110846"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.2166\/wrd.2016.117"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.resourpol.2016.01.005"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.resconrec.2016.06.006"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1080\/14486563.2015.1129364"},{"key":"e_1_2_10_10_2","doi-asserted-by":"publisher","DOI":"10.1080\/08941920.2012.656185"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.resconrec.2013.08.001"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.1017\/S193029750000317X"},{"key":"e_1_2_10_13_2","first-page":"637","article-title":"Cloud Hadoop map reduce for remote sensing image analysis","volume":"3","author":"Almeer M. 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