基于 ISM 的城市黑臭水体整治公众满意度影响因素 |
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作者姓名: | 崔家萍 唐德善 |
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作者单位: | ( 河海大学 水利水电学院, 南京 210089) |
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基金项目: | 江苏省高校优势学科建设工程资助项目( PAPD) |
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摘 要: | 在我国城市大部分河道已演变为黑臭河道的背景下,进行黑臭水体整治、改善城市水环境成为一项重要任务。将公众满意程度和长效机制建设情况作为评判黑臭水体整治效果好坏的依据,已经成为一种趋势。以南京市鼓楼区6条黑臭河道整治的公众满意度测评数据为基础,通过单因素方差分析筛选出7个对公众满意度有显著影响的因素,利用解释结构模型(ISM)梳理7个因素间的内在关联,建立多层递阶结构模型,为政府进行黑臭水体整治提供参考依据。分析结果表明,水体的异味、异常颜色、洁净程度和公众对整治工程的了解程度是影响黑臭水体整治公众满意度的直接因素,受访者人员性质是其间接因素,沿河污水直排、沿岸垃圾堆放现象是其根本因素。
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关 键 词: | 黑臭水体整治 公众满意度 影响因素 方差分析 解释结构模型( ISM) |
ISM-based analysis of factors affecting public satisfaction of urban black and smelly water treatment |
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Authors: | CUI Jiaping TANG Deshan |
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Affiliation: | ( Col lege of Water Conservancy and H y d ro p ow er , H o hai University , N anj ing 210089, China) |
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Abstract: | It is an important task to improv e the w ater envir onment of the city as a lar ge number of the ur ban riv ers in China hav e turned black and smelly. It has become a trend to judg e the effect o f black and smelly w ater tr eat ment by the public satis2 factio n deg ree and the lo ng2term mechanism const ruct ion pro g ress. Based on the data of public satisfactio n assessment of 6 black and smelly rivers in Nanjing Gulou District, w e selected sev en factors which had significant influence o n public satisfactio n throug h the single2fact or v ariance analysis. By using the I nter pr etativ e St ruct ur al Mo deling method ( ISM) , w e analy zed the in2 ter nal relatio nships among the seven facto rs and built a hierarchical st ructur al model, w ith a v iew to pro viding refer ence to the gov ernment o n black and smelly water treatment. T he analy sis results showed that w ater o do r, abno rmal co lo r, cleanliness, and public aw areness o f the tr eat ment pr oject w ere dir ect influencing factors on public satisfaction of the black and smelly w ater treatment; the ident ity o f the respo ndents w as an indirect influencing facto r; dir ect sewag e discha rg e to the riv er and g arbag e stacking along the riv er w ere the roo t factors. |
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Keywords: | black and smelly w ater treatment public sat isfact ion degr ee influencing fact ors variance ana lysis inter pr etativ e st ructur al mo deling |
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