Abstract

Aesthetic considerations of tap water do not necessarily indicate public health threats. If consumers notice the taste or odor of their tap water, however, they are likely to think differently of the water provider. The source of the problem is often nuisance chemicals, and although these chemicals can be measured, their detection is relative and may vary based on a person’s sociodemographics. This study aims to identify the sociodemographic and geographic parameters that influence users’ recognition of select tap water aesthetic issues. To do so, a bivariate binary probit model is used. Enabling this study is a household survey conducted in 2016 in Austin, Texas. Results indicate that the drivers of noticing odor and taste occur at the individual, household, and regional levels. By identifying factors that influence people’s perceptions of aesthetic considerations, water providers may develop outreach campaigns and make decisions that address the groups revealed in this analysis (e.g., users who pay their water bill). Additionally, this study demonstrates how joint modeling can be used to more accurately capture relationships in the water sector.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request (survey data).

Acknowledgments

This work was supported by the National Science Foundation Graduate Research Fellowship Program (Grant No. DGE-1610403).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 147Issue 3March 2021

History

Received: Apr 21, 2020
Accepted: Sep 8, 2020
Published online: Dec 26, 2020
Published in print: Mar 1, 2021
Discussion open until: May 26, 2021

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Graduate Researcher, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 Dean Keeton C1752, Austin, TX 78751. ORCID: https://orcid.org/0000-0001-5459-5909. Email: [email protected]
Graduate Researcher, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 Dean Keeton C1752, Austin, TX 78751. ORCID: https://orcid.org/0000-0003-3634-5417. Email: [email protected]
Assistant Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 Dean Keeton C1752, Austin, TX 78751 (corresponding author). ORCID: https://orcid.org/0000-0001-7986-4757. Email: [email protected]
Chandra R. Bhat, Ph.D., M.ASCE [email protected]
Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 301 Dean Keeton C1752, Austin, TX 78751. Email: [email protected]

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