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Exploring the Influence of the Visual Attributes of Kaplan's Preference Matrix in the Assessment of Urban Parks: A Discrete Choice Analysis

Shayestefar, Marjan and Pazhouhanfar, Mahdieh and van Oel, Clarine and Grahn, Patrik (2022). Exploring the Influence of the Visual Attributes of Kaplan's Preference Matrix in the Assessment of Urban Parks: A Discrete Choice Analysis. Sustainability. 14 :12 , 7357
[Research article]

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Abstract

A significant majority of the literature on natural environments and urban green spaces justifies the preferences that people have for natural environments using four predictors defined by Kaplan's preference matrix theory, namely coherence, legibility, complexity, and mystery. However, there are no studies implicitly focusing on the visual attributes assigned to each of these four predictors. Thus, the aim of this study was to explore the influence of nine visual attributes derived from the four predictors of Kaplan's matrix on people's preferences in the context of urban parks. A discrete choice experiment was used to obtain responses from a sample of 396 students of Golestan University. Students randomly evaluated their preferences towards a set of potential scenarios with urban park images. The results of a random parameter logit analysis showed that all of the attributes of complexity (variety of elements, number of colors, and organization of elements) and one attribute each of coherence (uniformity), mystery (visual access), and legibility (distinctive elements) affect students' choices for urban parks, while one attribute each of mystery (physical access) and legibility (wayfinding) did not affect the choices. Furthermore, the results indicated a preference for heterogeneity of the attributes. The findings of this study can provide instructions for designing parks.

Authors/Creators:Shayestefar, Marjan and Pazhouhanfar, Mahdieh and van Oel, Clarine and Grahn, Patrik
Title:Exploring the Influence of the Visual Attributes of Kaplan's Preference Matrix in the Assessment of Urban Parks: A Discrete Choice Analysis
Series Name/Journal:Sustainability
Year of publishing :2022
Volume:14
Number:12
Article number:7357
Number of Pages:19
Publisher:MDPI
ISSN:2071-1050
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Environmental Sciences (social aspects to be 507)
(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 201 Civil Engineering > Architectural Engineering
Keywords:information processing theory, landscape design, multinomial logit model, predictors of preference
URN:NBN:urn:nbn:se:slu:epsilon-p-118289
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-118289
Additional ID:
Type of IDID
DOI10.3390/su14127357
Web of Science (WoS)000816769500001
ID Code:28698
Faculty:LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap
Department:(LTJ, LTV) > Department of People and Society (from 2021)
Deposited By: SLUpub Connector
Deposited On:01 Sep 2022 07:40
Metadata Last Modified:01 Sep 2022 07:41

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