Validating street-level perceptual attributes with location choice models

Tomás Cox, Tomás Rossetti and Ricardo Hurtubia

No f48xs, OSF Preprints from Center for Open Science

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.

Date: 2019-10-17
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:f48xs

DOI: 10.31219/osf.io/f48xs

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