2009
DOI: 10.1080/01426390903009297
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Citation Analysis of Transportation Research Literature: A Multi-Dimensional Map of the Roadside Universe

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Cited by 9 publications
(11 citation statements)
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References 18 publications
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“…Although the analysis of the questionnaire was essentially based on the descriptive statistics, inferential statistical analysis was also developed. At this level, chi-square test was used to assess whether, according to public preference, whether or not there is a significant relationship between the different landscape subunits [30,31]. Finally, the obtained results were discussed and conclusions were drawn.…”
Section: Questionnaire Evaluation | Testmentioning
confidence: 99%
“…Although the analysis of the questionnaire was essentially based on the descriptive statistics, inferential statistical analysis was also developed. At this level, chi-square test was used to assess whether, according to public preference, whether or not there is a significant relationship between the different landscape subunits [30,31]. Finally, the obtained results were discussed and conclusions were drawn.…”
Section: Questionnaire Evaluation | Testmentioning
confidence: 99%
“…The eigenvector of the first dimension contained larger coefficients for the variables ranging from 0.553 to 0.776. Usually, such values are strongly associated with the first dimension [40][41][42][43][44][45][46][47][48][49][50][51][52]. In other words, it would be possible to explain 47.969% of the variance in one dimension with all of the variables strongly associated with the first dimension.…”
Section: Resultsmentioning
confidence: 99%
“…Our study examined the evaluation of the rural landscape of the Xiangxi District in Hunan Province, China, by surveying the responses of planning and design experts to gain their perception of the environmental qualities that comprise the characteristics of the setting. Such studies often generate many variables to consider and may rely upon multivariate statistical analysis to clarify the results [40][41][42][43][44][45][46][47][48][49][50][51][52].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Principal Component Analysis (PCA) was used to verify the existence of the two underlying dimensions based on the frequencies of use in the 19 knowledge areas. PCA has been widely used in studies, such as knowledge mapping (Burley et al, 2009), landscape preferences (Grahn & Stigsdotter, 2010) or complex mental constructs (Milburn et al, 2001), for pattern recognition and dimension reduction. PCA components and their loadings were used to generate a knowledge map of landscape architecture research.…”
Section: ) Research Need and Supply In Generalmentioning
confidence: 99%