Literature DB >> 26627209

Assessing public aesthetic preferences towards some urban landscape patterns: the case study of two different geographic groups.

Ziyue Chen1,2, Bing Xu3,4,5, Bernard Devereux6.   

Abstract

Landscape aesthetics is closely linked to people's daily life, and a large body of studies has been conducted to understand the public's landscape preferences. These studies commonly focused on comprehensive landscape configuration, yet limited emphasis was placed on the patterns of individual landscape features. This research explored people's preferences towards the composition and patterns of some specific urban features. Questionnaire-based survey was conducted in two cities: Cambridge, UK and Nanjing, China and more than 180 responses were collected, respectively. Respondents from both sites showed similar preferences towards freely growing trees, individual houses, gable roofs and mixed design of green spaces. On the other hand, respondents from Cambridge and Nanjing have different preferences towards the height of trees, the size of green spaces, and the height diversity of buildings. This survey also proved that the factors of age, education, status and length of living have larger influences on landscape preferences than the factors of gender, and major. Furthermore, strong correlations were found between people's aesthetic preferences towards comparative landscape patterns, building types, tree shapes and roof structures. The existence of generally shared landscape preferences makes it feasible to conduct international and standardized projects for acquiring comparable and transferable criteria. The methodology and findings of this research provides landscape planners and decision makers with useful reference to compare, evaluate and improve urban landscape configurations to meet people's needs.

Entities:  

Keywords:  Aesthetic preferences; Correlation analysis; Group differences; Landscape patterns; Urban

Mesh:

Year:  2015        PMID: 26627209     DOI: 10.1007/s10661-015-5007-3

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  9 in total

1.  Indicators of perceived naturalness as drivers of landscape preference.

Authors:  Asa Ode; Gary Fry; Mari S Tveit; Pernette Messager; David Miller
Journal:  J Environ Manage       Date:  2008-02-15       Impact factor: 6.789

2.  Visitor perceptions of rural landscapes: a case study in the Peak District National Park, England.

Authors:  Natalie Suckall; Evan D G Fraser; Thomas Cooper; Claire Quinn
Journal:  J Environ Manage       Date:  2008-07-30       Impact factor: 6.789

3.  Cognitive attributes and aesthetic preferences in assessment and differentiation of landscapes.

Authors:  Marjanne Sevenant; Marc Antrop
Journal:  J Environ Manage       Date:  2008-10-23       Impact factor: 6.789

4.  Determination of waterscape beauties through visual quality assessment method.

Authors:  Zohre Bulut; Hasan Yilmaz
Journal:  Environ Monit Assess       Date:  2008-06-27       Impact factor: 2.513

5.  Determining recreational, scenic, and historical-cultural potentials of landscape features along a segment of the ancient Silk Road using factor analyzing.

Authors:  Oguz Kurdoglu; Banu Cicek Kurdoglu
Journal:  Environ Monit Assess       Date:  2009-10-28       Impact factor: 2.513

6.  Determination of landscape beauties through visual quality assessment method: a case study for Kemaliye (Erzincan/Turkey).

Authors:  Zohre Bulut; Hasan Yilmaz
Journal:  Environ Monit Assess       Date:  2007-09-05       Impact factor: 2.513

7.  Assessment of visual landscape quality using IKONOS imagery.

Authors:  Ulas Yunus Ozkan
Journal:  Environ Monit Assess       Date:  2014-02-21       Impact factor: 2.513

8.  Assessing the visual quality of green landscaping in rural residential areas: the case of Changzhou, China.

Authors:  Yumin Yao; Xiaodong Zhu; Yingbi Xu; Haiyan Yang; Xian Wu; Yangfan Li; Yanfeng Zhang
Journal:  Environ Monit Assess       Date:  2011-04-09       Impact factor: 2.513

9.  Indicators of visual scale as predictors of landscape preference; a comparison between groups.

Authors:  Mari Sundli Tveit
Journal:  J Environ Manage       Date:  2008-10-31       Impact factor: 6.789

  9 in total

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