Towards connecting occupant behavior to residential water use in a permanent supportive housing context

The quantification of residential water end uses is an important component of improving the sustainability of urban water infrastructure. Disaggregation and classification methods based on statistical learning are used in research and practice to extract meaningful insights from smart water meter data. These insights can also reflect individual behaviors within the built environment, enabling end-user activity detection from water consumption patterns. Exogenous environmental factors can also affect the composition of end-uses in a residential setting. In this study, an initial framework was created for classifying residential water end-uses in a permanent supportive housing context and assisting with discerning between perceived typical and atypical human behavior from water use patterns. Classification schemes, based on fine-resolution temporal flow data, incorporated baseline activity to inform what typical water use was for individuals while also considering general trends in specific end-uses such as showers, toilet flushes, and leaks. This study found that while atypical activity based on end-use duration and frequency might fall outside the normally-distributed expected value for a period of interest, it need not be the case for all atypical activity. Defining atypical activity based on prescriptive guidelines might not align with what is normative behavior for an occupant transitioning into housing. Additionally exogenous variables can impact occupant behavior regarding water fixture end-use and this impact should be accounted for. Findings from this study can specifically inform supportive services provided by stakeholders responsible for the well-being of individuals in their care via non-intrusive, privacy-respecting insights on occupant behavior. These signals established a broader water behavior pattern used to screen for irregular activity that left unattended (or unnoticed) could contribute to adverse outcomes.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Civil Engineering

Grantor

University of Illinois Urbana-Champaign

Year dc:date

2025

Author dc:creator

• Khan, Hassaan Ahmed

Contributors dc:contributor

• Stillwell, Ashlynn S

• residential water
• human behavior
• permanent supportive housing

Statement dc:rights

• Copyright 2025 Hassaan Khan

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/129610

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F129610