The Influences of Actual and Perceived Familiarity on Environmental Preferences for the Design of a Proposed Urban Square
Author(s) -
Tony Craig,
Anna Conniff,
Carlos Galán-Díaz
Publication year - 2012
Publication title -
urban studies research
Language(s) - English
Resource type - Journals
eISSN - 2090-4193
pISSN - 2090-4185
DOI - 10.1155/2012/767049
Subject(s) - preference , computer science , artificial intelligence , algorithm , machine learning , statistics , mathematics
People gain actual familiarity through direct experience of environments, but environments we have never visited can still seem familiar. To date, few academic studies have investigated this phenomenon of perceived familiarity. This paper discusses the concept of perceived familiarity and environmental preference from the perspective of people who may be asked to make judgements of future urban designs as part of the planning process. A sample of local (n=102) and nonlocal (n=176) people were asked to rate images of two versions (existing environment and proposed redesign) of an urban square on scales of preference and perceived familiarity. Results showed that the mean ratings for the proposed design were similar for both local and non-local samples. However, we found a clearly discernible difference in the way psychological antecedents are associated with environmental preference. For nonlocals, preference for the existing design is significantly associated with preference for the proposed design, but for local people this is not the case. In addition, for non-locals perceived familiarity of the proposed design is associated with perceived familiarity of the existing environment, but for the local sample this is not the case. Implications for public participation processes in urban design, as well as limitations and future lines of research, are discussed
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