Validating street-level perceptual attributes with location choice models
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Date
2023
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Abstract
Built and natural elements can shape users’ experience and valuation of urban space. Users’ behavior, such as their location choices, can also be affected by their evaluation of street-level perceptual attributes, although this relation is more difficult to measure. We propose a model that tests if the qualitative variables of urban sceneries developed by Rossetti et al (Rossetti, Lobel, Rocco, & Hurtubia, 2019) help explain residential location decisions. We use a bid-auction location choice model to get empirical results from two datasets of located households in the Chilean cities of Santiago and Temuco. Results show significant parameters for street-level qualitative attributes (beautiful, wealthy, etc.), which indicates the importance of this type of information to understand and predict users’ behavior.
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Keywords
Location choice models, Street-level attributes, Perceptions, Public space